Salesforce Certified Data Cloud Consultant practice questions

1. Question 1 of 25

   What is the result of a segmentation criteria filtering on City | Is Equal To | 'San José'?

   • ACities containing 'San Jose', ’San José', 'san josé, or 'san jose'
   • BCities only containing 'San José or 'san josé'
   • CCities only containing 'San José' or 'San Jose'
   • DCities only containing 'San Jose' or 'san jose'

   Show answer

   Correct answer: B

   How others answered

   • B60%
   • A30%

   Only 60% agreed on this answer — treat it as contested rather than settled.

   Explanation

   Salesforce Help article: https://help.salesforce.com/s/articleView?id=sf.c360_a_segment_canvas_interface.htm&type=5 Value Field The value against which the attribute value is compared to determines whether it satisfies the condition. Queries honor exact matching on special characters and accents and aren’t case-sensitive. For example, querying on City | Is Equal To | Canon City doesn’t find the city Cañon City. A query on City | Is Equal To | Canon City finds canon city. Also, queries honor exact matching on types. For example, if the field type is a string for "Purchase Order Number", querying on Purchase order number | Is Equal To | 0852 finds a Purchase Order Number that’s equal to 0852. It doesn't find the purchase order number 852, which has no leading zero, or “0852” with quotation marks.

   Adapted from community discussion by HuntYo · 2024-11-20 · 3 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

   Supporting references

   • Salesforce Help

   View community discussion4

   Candidate context

   Question 1 discussion

   These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

   1. 9

      9bfdf61

      2024-11-01

      Selected B6 upvotes

      It is B. Values are case-insensitive but matches only with "é" with an accent.

   2. H

      HuntYo

      2024-11-20

      3 upvotes

      Salesforce Help article: https://help.salesforce.com/s/articleView?id=sf.c360_a_segment_canvas_interface.htm&type=5 Value Field The value against which the attribute value is compared to determines whether it satisfies the condition. Queries honor exact matching on special characters and accents and aren’t case-sensitive. For example, querying on City | Is Equal To | Canon City doesn’t find the city Cañon City. A query on City | Is Equal To | Canon City finds canon city. Also, queries honor exact matching on types. For example, if the field type is a string for "Purchase Order Number", querying on Purchase order number | Is Equal To | 0852 finds a Purchase Order Number that’s equal to 0852. It doesn't find the purchase order number 852, which has no leading zero, or “0852” with quotation marks.

   3. A

      ARCADE21

      2025-01-25

      Selected B1 upvote

      The value against which the attribute value is compared to determines whether it satisfies the condition. Queries honor exact matching on special characters and accents and aren’t case-sensitive. For example, querying on City | Is Equal To | Canon City doesn’t find the city Cañon City. A query on City | Is Equal To | Canon City finds canon city. Also, queries honor exact matching on types.

   4. S

      shikki

      2025-01-13

      Selected B1 upvote

      When using an "Is Equal To" filter with a segmentation criteria, the system will only match entries that exactly match the specified value

2. Question 2 of 25

   A new user of Data Cloud only needs to be able to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user will also need to make changes if required. What is the minimum permission set needed to accommodate this use case?

   • AData Cloud for Marketing Specialist
   • BData Cloud Admin
   • CData Cloud for Marketing Data Aware Specialist
   • DData Cloud User

   Show answer

   Correct answer: C

   How others answered

   • C100%

   Explanation

   Correct answer should be C This permission set is specifically designed for users who need to interact with data in a more detailed manner than a general user. It includes the capabilities to review, validate, and modify data, matching the described needs without the broader administrative permissions.

   Adapted from community discussion by adwe · 2024-08-05 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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   Question 2 discussion

   These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

   1. A

      adwe

      2024-08-05

      2 upvotes

      Correct answer should be C This permission set is specifically designed for users who need to interact with data in a more detailed manner than a general user. It includes the capabilities to review, validate, and modify data, matching the described needs without the broader administrative permissions.

   2. S

      sfarchex137

      2024-09-15

      Selected C2 upvotes

      key here is that they want the user to validate the mapping. Data Cloud User doesn't have access to it

   3. A

      adwe

      2024-08-05

      2 upvotes

      Data Cloud User (Option D) can NOT be correct: This permission set typically provides basic access to Data Cloud features. It might allow reviewing data but often does not include permissions to make changes or validate the data modeling, which is required in this case.

   4. N

      NastyHard

      2024-09-02

      Selected C1 upvote

      A "Data Cloud User" cannot changes anything. Only can check the data.

3. Question 3 of 25

   Select 2

   Northern Trail Outfitters is using the Marketing Cloud Starter Data Bundles to bring Marketing Cloud data into Data Cloud. What are two of the available datasets in Marketing Cloud Starter Data Bundles? (Choose two.)

   • AMobilePush
   • BPersonalization
   • CMobileConnect
   • DLoyalty Management

   Show answer

   Correct answer: A, C

   How others answered

   • AC100%

   Explanation

   A & C. Marketing Cloud Engagement offers starter data bundles for Email Studio, MobileConnect, MobilePush, and WhatsApp. Data Cloud doesn’t support formula fields for Marketing Cloud Engagement data streams.

   Adapted from community discussion by JohnDoe0071 · 2024-10-10 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

   Supporting references

   • Salesforce Help

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   Candidate context

   Question 3 discussion

   These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

   1. G

      guest_user_2024

      2024-11-30

      Selected A, C3 upvotes

      https://help.salesforce.com/s/articleView?id=sf.c360_a_starter_data_bundles.htm&type=5

   2. J

      JohnDoe0071

      2024-10-10

      2 upvotes

      A & C. Marketing Cloud Engagement offers starter data bundles for Email Studio, MobileConnect, MobilePush, and WhatsApp. Data Cloud doesn’t support formula fields for Marketing Cloud Engagement data streams.

4. Question 4 of 25

   Select 3

   Northern Trail Outfitters unifies individuals in its Data Cloud instance. Which three features can the consultant use to validate the data on a unified profile? (Choose three.)

   • AQuery API
   • BData Explorer
   • CIdentity Resolution
   • DData Actions
   • EProfile Explorer

   Show answer

   Correct answer: A, B, E

   How others answered

   • ABE50%
   • BCE33%

   Only 50% agreed on this answer — treat it as contested rather than settled.

   Explanation

   These three features can be used to validate the data in the unified profile object. Data Explorer allows you to view the ingested data from different sources and how it is mapped to the unified profile object. Query API allows you to query the unified profile object using SOQL or SQL queries. Profile Explorer allows you to view the unified profile records and their attributes. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_explorer.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_query_api.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_profile_explorer.htm&type=5

   Adapted from community discussion by lucaluca1982 · 2024-12-11 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

   Supporting references

   • Salesforce Help
   • Salesforce Help
   • Salesforce Help

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   Question 4 discussion

   These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

   1. L

      lucaluca1982

      2024-12-11

      Selected A, B, E2 upvotes

      These three features can be used to validate the data in the unified profile object. Data Explorer allows you to view the ingested data from different sources and how it is mapped to the unified profile object. Query API allows you to query the unified profile object using SOQL or SQL queries. Profile Explorer allows you to view the unified profile records and their attributes. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_explorer.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_query_api.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_profile_explorer.htm&type=5

   2. D

      Dimi_Mous

      2024-09-13

      4 upvotes

      I would go with BCE here. I lean towards Identity Resolution, after finding this online: This feature can be used to confirm the accuracy of the data on a unified profile by ensuring that all relevant data points are correctly linked to the correct individual.

   3. E

      edit_certs

      2024-12-01

      Selected A, B, E2 upvotes

      Identity Resolution and Data Actions are not the place to validate data.

   4. A

      annswaroop

      2025-01-29

      Selected A, B, E1 upvote

      Results of identity resolution can be inspected using Profile Explorer, Data Explorer, Reports, Query API

5. Question 5 of 25

   Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage activation. The company also wants to analyze individuals who have been in the segment within the last 2 years. Which Data Cloud component allows for this?

   • ACalculated insights
   • BSegment membership data model object
   • CSegment exclusion
   • DNested segments

   Show answer

   Correct answer: B

   How others answered

   • B100%

   Explanation

   Each time you publish a segment, a data model object (DMO) is created or updated to store segment membership information. To identify who's included in a segment, use the Segment Membership DMO (type Segment_Membership).

   Adapted from community discussion by Duvaragan · 2025-01-23 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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   Question 5 discussion

   These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

   1. D

      Duvaragan

      2025-01-23

      Selected B2 upvotes

      Each time you publish a segment, a data model object (DMO) is created or updated to store segment membership information. To identify who's included in a segment, use the Segment Membership DMO (type Segment_Membership).

6. Question 6 of 25

   Which information is provided in a .csv file when activating to Amazon S3?

   • AThe activated data payload
   • BAn audit log showing the user who activated the segment and when it was activated
   • CThe manifest of origin sources within Data Cloud
   • DThe metadata regarding the segment definition

   Show answer

   Correct answer: A

   How others answered

   • A62%
   • D38%

   Only 62% agreed on this answer — treat it as contested rather than settled.

   Explanation

   When activating a segment to Amazon S3 from Salesforce Data Cloud, the .csv file contains the activated data payload. This includes: The actual data records that match the segment criteria (e.g., customer profiles, attributes, or other relevant fields). The data is structured in a format that can be easily processed by the recipient system (Amazon S3). Metadata about the segment definition (e.g., criteria, filters, or rules) is stored within Data Cloud and is not included in the .csv file sent to Amazon S3.

   Adapted from community discussion by Ica_carol · 2025-01-30 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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   Question 6 discussion

   These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

   1. I

      Ica_carol

      2025-01-30

      Selected A2 upvotes

      When activating a segment to Amazon S3 from Salesforce Data Cloud, the .csv file contains the activated data payload. This includes: The actual data records that match the segment criteria (e.g., customer profiles, attributes, or other relevant fields). The data is structured in a format that can be easily processed by the recipient system (Amazon S3). Metadata about the segment definition (e.g., criteria, filters, or rules) is stored within Data Cloud and is not included in the .csv file sent to Amazon S3.

   2. R

      RajeshRDSFDC

      2025-01-29

      Selected A2 upvotes

      When activating to Amazon S3, the information provided in the .csv file is A. The activated data payload. This means the actual data that has been processed and segmented is included in the .csv file, which can then be used for further analysis, reporting, or any other required actions.

   3. A

      annswaroop

      2025-01-29

      Selected A2 upvotes

      While metadata is held in a JSON file, the actual payload is held in a CSV file.

7. Question 7 of 25

   Select 2

   Northern Trail Outfitters (NTO) creates a calculated insight to compute recency, frequency, monetary (RFM) scores on its unified individuals. NTO then creates a segment based on these scores that it activates to a Marketing Cloud activation target. Which two actions are required when configuring the activation? (Choose two.)

   • ASelect contact points.
   • BAdd additional attributes.
   • CChoose a segment.
   • DAdd the calculated insight in the activation.

   Show answer

   Correct answer: A, C

   How others answered

   • AC54%
   • AB31%

   Only 54% agreed on this answer — treat it as contested rather than settled.

   Explanation

   A. Select contact points When configuring an activation in Salesforce Data Cloud, you need to specify the contact points (e.g., email addresses, phone numbers) to ensure the correct channels are used for activation in Marketing Cloud. C. Choose a segment Activations in Data Cloud are driven by segments. You must select the segment created based on the RFM scores to activate the relevant audience in the Marketing Cloud target.

   Adapted from community discussion by Sekharrajkumar · 2025-01-26 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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   Question 7 discussion

   These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

   1. S

      Sekharrajkumar

      2025-01-26

      Selected A, C2 upvotes

      A. Select contact points When configuring an activation in Salesforce Data Cloud, you need to specify the contact points (e.g., email addresses, phone numbers) to ensure the correct channels are used for activation in Marketing Cloud. C. Choose a segment Activations in Data Cloud are driven by segments. You must select the segment created based on the RFM scores to activate the relevant audience in the Marketing Cloud target.

   2. D

      dennislihere

      2024-12-12

      Selected A, C2 upvotes

      Additional Attributes are not required. and Calculated Insights are already in Segments

   3. T

      TheKingRimu

      2025-01-25

      Selected A, C1 upvote

      To configure the activation for Northern Trail Outfitters (NTO) based on the RFM scores, you need to: A. Select contact points. C. Choose a segment. These actions ensure that the correct individuals are targeted and the appropriate segment is used for the activation.

   4. I

      Ica_carol

      2025-01-30

      1 upvote

      To select contact points is essential, but additional attributes are not.

8. Question 8 of 25

   During an implementation project, a consultant completed ingestion of all data streams for their customer. Prior to segmenting and acting on that data, which additional configuration is required?

   • AData Mapping
   • BIdentity Resolution
   • CData Activation
   • DCalculated Insights

   Show answer

   Correct answer: B

   How others answered

   • B54%
   • A46%

   Only 54% agreed on this answer — treat it as contested rather than settled.

   Supporting references

   • Salesforce Help
   • Salesforce Help

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   Candidate context

   Question 8 discussion

   These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

   1. B

      b04d597

      2024-11-10

      5 upvotes

      I also think it should be data mapping and you've got DLOs https://help.salesforce.com/s/articleView?id=sf.c360_a_data_mapping.htm&type=5

   2. I

      Ica_carol

      2025-01-30

      Selected B1 upvote

      Identity Resolution is the process of unifying and deduplicating customer profiles across multiple data sources. It ensures that the data is accurately matched and merged into a single, unified view of the customer. Without Identity Resolution, the ingested data may contain duplicate or fragmented profiles, leading to inaccurate segmentation and activation. Data mapping is typically done during the ingestion phase to ensure that the data is correctly structured and aligned with the target schema. It is not a prerequisite for segmentation and activation after ingestion is complete.

   3. S

      Sekharrajkumar

      2025-01-26

      Selected B1 upvote

      Once data streams have been ingested into Salesforce Data Cloud, the next critical step is Identity Resolution. This process ensures that data from different sources is unified into a single profile per individual by matching and merging records based on configured rules (e.g., email, phone number, or other identifiers). Without resolving identities, segmenting and acting on the data may result in duplicate or incomplete profiles.

   4. S

      Subramanyam17

      2024-12-29

      Selected B2 upvotes

      Identity Resolution will takes place before Segmentation & Insights

9. Question 9 of 25

   Cumulus Financial uses Service Cloud as its CRM and stores mobile phone, home phone, and work phone as three separate fields for its customers on the Contact record. The company plans to use Data Cloud and ingest the Contact object via the CRM Connector. What is the most efficient approach that a consultant should take when ingesting this data to ensure all the different phone numbers are properly mapped and available for use in activation?

   • AIngest the Contact object and map the Work Phone, Mobile Phone, and Home Phone to the Contact Point Phone data map object from the Contact data stream by adding custom fields for Work and Home Phone.
   • BIngest the Contact object and use streaming transforms to normalize the phone numbers from the Contact data stream into a separate Phone data lake object (DLO) that contains three rows, and then map this new DLO to the Contact Point Phone data map object.
   • CIngest the Contact object and create formula fields in the Contact data stream on the phone numbers, and then map to the Contact Point Phone data map object.
   • DIngest the Contact object and then create a calculated insight to normalize the phone numbers, and then map to the Contact Point Phone data map object.

   Show answer

   Correct answer: B

   How others answered

   • B67%
   • A33%

   Only 67% agreed on this answer — treat it as contested rather than settled.

   Explanation

   The correct answer is B because using streaming transforms to normalize the phone numbers into a separate Phone Data Lake Object is the most efficient and scalable approach. This approach allows each phone type to be treated as separate entries in a standardized structure, making it easier to manage, query, and activate for use in Data Cloud. After transforming the data into a normalized format, it can then be mapped to the Contact Point Phone data map object, which is specifically designed to handle multiple contact points.

   Adapted from community discussion by Blablabla39 · 2024-11-14 · 5 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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   Question 9 discussion

   These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

   1. B

      Blablabla39

      2024-11-14

      5 upvotes

      The correct answer is B because using streaming transforms to normalize the phone numbers into a separate Phone Data Lake Object is the most efficient and scalable approach. This approach allows each phone type to be treated as separate entries in a standardized structure, making it easier to manage, query, and activate for use in Data Cloud. After transforming the data into a normalized format, it can then be mapped to the Contact Point Phone data map object, which is specifically designed to handle multiple contact points.

   2. I

      Ica_carol

      2025-01-30

      Selected B1 upvote

      Letter B. Streaming Transforms: allows to process and normalize data in real-time as it is ingested into Data Cloud. In this case, the consultant can use streaming transforms to split the three phone numbers (mobile, home, and work) into separate rows in a new Phone Data Lake Object (DLO). Normalization: by normalizing the phone numbers into a separate DLO, each phone number can be treated as an individual record, making it easier to map and use for activation. Mapping to Contact Point Phone: once the phone numbers are normalized into the new DLO, they can be mapped to the Contact Point Phone data map object, which is the standard object in Data Cloud for managing phone-related data. It's not A because this approach does not normalize the phone numbers into separate rows, making it less efficient for activation and segmentation.

   3. T

      TheKingRimu

      2025-01-25

      2 upvotes

      B. Ingest the Contact object and use streaming transforms to normalize the phone numbers from the Contact data stream into a separate Phone data lake object (DLO) that contains three rows, and then map this new DLO to the Contact Point Phone data map object. This approach ensures that each phone number type (Work, Mobile, Home) is properly normalized and mapped into a structured format that can be easily used for activation. By creating a separate Phone data lake object (DLO) with three rows, you ensure that each phone number is treated as a distinct contact point, which aligns with best practices for data normalization and mapping in Salesforce Data Cloud.

   4. K

      kanchw

      2024-11-28

      Selected B1 upvote

      DMO field can't be mapped to more than one DLO field. So we need different objects I guess.

10. Question 10 of 25

    Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users. What should the consultant do to accomplish this?

    • AUse Salesforce sharing rules on the Account object to filter and segregate records based on Country.
    • BUse formula fields based on the Account Country field to filter incoming records.
    • CUse streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.
    • DUse the data spaces feature and apply filtering on the Account data lake object based on Country.

    Show answer

    Correct answer: D

    How others answered

    • D100%

    Explanation

    Data spaces are a feature that allows Data Cloud users to create subsets of data based on filters and permissions. Data spaces can be used to segregate data based on different criteria, such as geography, business unit, or product line. In this case, the consultant can use the data spaces feature and apply filtering on the Account data lake object based on Country.

    Adapted from community discussion by 7a34b0e · 2024-07-12 · 6 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    Question 10 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. 7

       7a34b0e

       2024-07-12

       Selected D6 upvotes

       Data spaces are a feature that allows Data Cloud users to create subsets of data based on filters and permissions. Data spaces can be used to segregate data based on different criteria, such as geography, business unit, or product line. In this case, the consultant can use the data spaces feature and apply filtering on the Account data lake object based on Country.

    2. C

       chakri04

       2024-09-29

       1 upvote

       D. Use the data spaces feature and apply filtering on the Account data lake object based on Country. The data spaces feature in Salesforce Data Cloud is designed to logically partition data, enabling you to segment data (such as Account records) based on criteria like Country. This approach allows users to access only the relevant subset of data, ensuring proper segregation while maintaining data integrity within the Data Cloud.

    3. S

       silentval

       2024-09-17

       Selected D1 upvote

       Use Data Spaces to have a Single Data Cloud for multiple brands, regions or departments

11. Question 11 of 25

    Select 2

    A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why. What are two likely explanations for the increase? (Choose two.)

    • ADuplicates have been removed from source system data streams.
    • BIdentity resolution rules have been added to the ruleset to increase the number of matched profiles.
    • CNew data sources have been added to Data Cloud that largely overlap with the existing profiles.
    • DIdentity resolution rules have been removed to reduce the number of matched profiles.

    Show answer

    Correct answer: B, C

    How others answered

    • BC100%

    Explanation

    B. Adding more RULES to the RULESET increases the match rate C. More dupe, more match rate. however, adding more CRITERIA decreases the match rate, just a reminder.

    Adapted from community discussion by edit_certs · 2024-11-27 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    Question 11 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. E

       edit_certs

       2024-11-27

       Selected B, C2 upvotes

       B. Adding more RULES to the RULESET increases the match rate C. More dupe, more match rate. however, adding more CRITERIA decreases the match rate, just a reminder.

12. Question 12 of 25

    Which configuration supports separate Amazon S3 buckets for data ingestion and activation?

    • AMultiple S3 connectors in Data Cloud setup
    • BDedicated S3 data sources in Data Cloud setup
    • CDedicated S3 data sources in activation setup
    • DSeparate user credentials for data stream and activation target

    Show answer

    Correct answer: A

    How others answered

    • A40%
    • D40%
    • B20%

    Only 40% agreed on this answer — treat it as contested rather than settled.

    Explanation

    Multiple S3 connectors in Data Cloud setup explicitly supports separate S3 buckets for data ingestion and activation. While D mentions access control, it does not achieve the configuration-level separation required for this scenario.

    Adapted from community discussion by lucaluca1982 · 2024-12-11 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    Question 12 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. L

       lucaluca1982

       2024-12-11

       Selected A2 upvotes

       Multiple S3 connectors in Data Cloud setup explicitly supports separate S3 buckets for data ingestion and activation. While D mentions access control, it does not achieve the configuration-level separation required for this scenario.

13. Question 13 of 25

    A customer requests that their personal data be deleted. Which action should the consultant take to accommodate this request in Data Cloud?

    • AUse Consent API to request deletion of the customer's information.
    • BUse a streaming API call to delete the customer's information.
    • CUse the Data Rights Subject Request tool to request deletion of the customer's information.
    • DUse Profile Explorer to delete the customer data from Data Cloud.

    Show answer

    Correct answer: A

    How others answered

    • A75%
    • C25%

    Supporting references

    • Salesforce Help
    • Salesforce Help
    • Salesforce Help
    • Salesforce Help

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    Question 13 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. E

       edit_certs

       2024-11-29

       Selected A2 upvotes

       https://help.salesforce.com/s/articleView?id=sf.c360_a_data_subject_rights.htm&type=5 Submit all data subject rights requests using the Salesforce Consent API.

    2. A

       Aisha_Khalid

       2024-10-13

       Selected A1 upvote

       I don't understand. Documentation clearly says "You can submit Data Deletion requests of individual data profiles in Data Cloud. All requests must be submitted using the Consent API." https://help.salesforce.com/s/articleView?id=sf.c360_a_data_deletion_request.htm&type=5

    3. B

       b04d597

       2024-11-15

       2 upvotes

       It think it is A "All requests must be submitted using the Consent API" in the link: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_deletion_request.htm&type=5

    4. S

       SomaVenkata

       2024-11-01

       1 upvote

       Correct answer is "C"- While consent API can be also be used - it's a programmatic way to do it. " Data Subject Rights" - this provides the OOTB tools to handle various scenarios like Data Deletion or Right To Be Forgotten (RTBF) Restrict Processing or Restriction of Processing (RofP) Data Access and Export So the correct answer is 'C"

14. Question 14 of 25

    Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?

    • ASales Order
    • BIndividual
    • CTransaction
    • DEngagement

    Show answer

    Correct answer: D

    How others answered

    • D80%
    • C20%

    Explanation

    There are only three data stream category: Profile, Engagement, Other. and the Engagement has the Date as Primary Key FYI. https://help.salesforce.com/s/articleView?id=sf.c360_a_category.htm&type=5

    Adapted from community discussion by edit_certs · 2024-11-29 · 4 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

    Supporting references

    • Salesforce Help

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    Candidate context

    Question 14 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. E

       edit_certs

       2024-11-29

       Selected D4 upvotes

       There are only three data stream category: Profile, Engagement, Other. and the Engagement has the Date as Primary Key FYI. https://help.salesforce.com/s/articleView?id=sf.c360_a_category.htm&type=5

    2. S

       SomaVenkata

       2024-11-03

       1 upvote

       The answer should be " Transaction" - C and not D. Data streams are the sources of data that are ingested into Data Cloud and mapped to the data model. Data streams have different categories that determine how the data is processed and used in Data Cloud. Transaction data streams are used for time-based operations in segmentation and calculated insights, such as filtering by date range, aggregating by time period, or calculating time-to-event metrics. Transaction data streams are typically used forevent data, such as purchases, clicks, or visits, that have a timestamp and a value associated with them.

15. Question 15 of 25

    A consultant wants to ensure that every segment managed by multiple brand teams adheres to the same set of exclusion criteria, that are updated on a monthly basis. What is the most efficient option to allow for this capability?

    • ACreate, publish, and deploy a data kit.
    • BCreate a nested segment.
    • CCreate a reusable container block with common criteria.
    • DCreate a segment and copy it for each brand.

    Show answer

    Correct answer: C

    How others answered

    • C67%
    • B33%

    Only 67% agreed on this answer — treat it as contested rather than settled.

    Explanation

    The most efficient option to ensure that every segment managed by multiple brand teams adheres to the same set of exclusion criteria, which are updated on a monthly basis, is: C. Create a reusable container block with common criteria. This approach allows you to define the exclusion criteria once and then reuse this container block across multiple segments. When the criteria need to be updated, you only need to update the container block, and all segments using it will automatically reflect the changes.

    Adapted from community discussion by TheKingRimu · 2025-01-07 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    Question 15 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. T

       TheKingRimu

       2025-01-07

       Selected C2 upvotes

       The most efficient option to ensure that every segment managed by multiple brand teams adheres to the same set of exclusion criteria, which are updated on a monthly basis, is: C. Create a reusable container block with common criteria. This approach allows you to define the exclusion criteria once and then reuse this container block across multiple segments. When the criteria need to be updated, you only need to update the container block, and all segments using it will automatically reflect the changes.

    2. L

       lucaluca1982

       2024-12-13

       Selected C2 upvotes

       C. Create a reusable container block with common criteria: A reusable container block allows the consultant to define a set of exclusion criteria that can be used across multiple segments. This approach is efficient because: The block can be updated centrally each month. Changes to the container block automatically propagate to all segments that use it, ensuring consistency and saving time.

    3. A

       Aisha_Khalid

       2024-10-13

       1 upvote

       I think the answer to this questions has changed since new Salesforce Summer '23 release

16. Question 16 of 25

    What should a user do to pause a segment activation with the intent of using that segment again?

    • ASkip the activation.
    • BStop the publish schedule.
    • CDeactivate the segment.
    • DDelete the segment.

    Show answer

    Correct answer: B

    How others answered

    • B75%
    • C25%

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    • Salesforce Help
    • Salesforce Help

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    Question 16 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. F

       f05ce18

       2024-09-19

       4 upvotes

       https://help.salesforce.com/s/articleView?id=sf.c360_a_edit_segment.htm&type=5 "If you plan to use the segment again, stop the publish schedule instead."

    2. S

       Shubharthi25

       2024-12-25

       Selected B1 upvote

       If a segment is no longer needed, it can be deactivated through Data Cloud and applies to all chosen targets. A deactivated segment no longer publishes, can’t be chosen for an activation, and can’t be re-enabled. If you plan to use the segment again, stop the publish schedule instead. https://help.salesforce.com/s/articleView?id=sf.c360_a_disable_segment.htm&type=5

    3. A

       Aisha_Khalid

       2024-10-13

       1 upvote

       D. Stop the publish schedule. This option stops the segment from publishing to the chosen targets, but does not deactivate the segment4. This option does not pause the segment activation completely.

17. Question 17 of 25

    What does the Ignore Empty Value option do in identity resolution?

    • AIgnores Contact Point object records with empty fields when running identity resolution rules.
    • BIgnores Individual object records with empty fields when running identity resolution rules.
    • CIgnores empty fields when running match rules.
    • DIgnores empty fields when running reconciliation rules.

    Show answer

    Correct answer: D

    How others answered

    • D86%

    Explanation

    It is C. The Ignore Empty Value option in identity resolution ensures that fields with empty or null values are not considered when running match rules. Reconciliation rules operate after matching to resolve conflicts between records. The Ignore Empty Value option applies specifically during the matching process.

    Adapted from community discussion by Blablabla39 · 2024-11-18 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    • Salesforce Help

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    Question 17 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. B

       Blablabla39

       2024-11-18

       2 upvotes

       It is C. The Ignore Empty Value option in identity resolution ensures that fields with empty or null values are not considered when running match rules. Reconciliation rules operate after matching to resolve conflicts between records. The Ignore Empty Value option applies specifically during the matching process.

    2. T

       TheKingRimu

       2025-01-26

       Selected D1 upvote

       D. Ignores empty fields when running reconciliation rules. The "Ignore Empty Value" option ensures that empty fields are not considered during the reconciliation process, which helps in accurately resolving identities by focusing only on fields with actual data.

    3. M

       manimala_khan

       2024-12-19

       Selected D1 upvote

       https://help.salesforce.com/s/articleView?id=sf.c360_a_reconciliation_rules_setdefault.htm&type=5 Identity resolution ignores the Ignore Empty Values selection for key fields.

18. Question 18 of 25

    Select 2

    During a privacy law discussion with a customer, the customer indicates they need to honor requests for the right to be forgotten. The consultant determines that Consent API will solve this business need. Which two considerations should the consultant inform the customer about? (Choose two.)

    • AData deletion requests are submitted for Individual profiles.
    • BData deletion requests submitted to Data Cloud are passed to all connected Salesforce clouds.
    • CData deletion requests are reprocessed at 30, 60, and 90 days.
    • DData deletion requests are processed within 1 hour.

    Show answer

    Correct answer: A, C

    How others answered

    • AC88%

    Explanation

    ✅ In DC, Data Deletion requests of Individual data profiles must be submitted using the Consent API. ✅ A Data Deletion request deletes the specified Individual record from the Individual DMO and the related DMOs. ✅ Data Deletion requests are reprocessed at 30, 60, and 90 days to ensure a full deletion. ✅ Important point: Data must be related to the Individual DMO for it to be included in the deletion. Data stored in unrelated DMOs won't be deleted. ✅ In the image, for the specified Individual ID, only matching records from the DLOs 2,4,7 will be deletion via the consent APIs, not any other DLOS. https://help.salesforce.com/s/articleView?id=sf.c360_a_data_deletion_request.htm&type=5

    Adapted from community discussion by sfPanda · 2024-12-25 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    • Salesforce Help
    • Salesforce Help

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    Question 18 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. S

       sfPanda

       2024-12-25

       Selected A, C2 upvotes

       ✅ In DC, Data Deletion requests of Individual data profiles must be submitted using the Consent API. ✅ A Data Deletion request deletes the specified Individual record from the Individual DMO and the related DMOs. ✅ Data Deletion requests are reprocessed at 30, 60, and 90 days to ensure a full deletion. ✅ Important point: Data must be related to the Individual DMO for it to be included in the deletion. Data stored in unrelated DMOs won't be deleted. ✅ In the image, for the specified Individual ID, only matching records from the DLOs 2,4,7 will be deletion via the consent APIs, not any other DLOS. https://help.salesforce.com/s/articleView?id=sf.c360_a_data_deletion_request.htm&type=5

    2. T

       TheKingRimu

       2025-01-26

       Selected A, C1 upvote

       Based on the provided context and the user's question, here are the two considerations the consultant should inform the customer about regarding the Consent API and the right to be forgotten in Data Cloud: 1. Data deletion requests are submitted for Individual profiles. 2. Data deletion requests are reprocessed at 30, 60, and 90 days. These considerations are crucial for ensuring compliance with privacy laws and effectively managing data deletion requests using the Consent API in Data Cloud. https://help.salesforce.com/s/articleView?id=data.c360_a_data_deletion_request.htm&type=5

19. Question 19 of 25

    A customer is concerned that the consolidation rate displayed in the identity resolution is quite low compared to their initial estimations. Which configuration change should a consultant consider in order to increase the consolidation rate?

    • AInclude additional attributes in the existing matching rules.
    • BChange reconciliation rules to Most Occuring.
    • CReduce the number of matching rules.
    • DIncrease the number of matching rules.

    Show answer

    Correct answer: D

    How others answered

    • D100%

    Explanation

    D "To increase the consolidation rate, try adding more match rules. To reduce the consolidation rate, try removing some of the match rules."

    Adapted from community discussion by Aisha_Khalid · 2024-10-14 · 4 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    Question 19 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. A

       Aisha_Khalid

       2024-10-14

       Selected D4 upvotes

       D "To increase the consolidation rate, try adding more match rules. To reduce the consolidation rate, try removing some of the match rules."

20. Question 20 of 25

    Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions. What should the consultant keep in mind with regard to historical data when ingesting order data using the B2C Commerce Order Bundle?

    • AThe B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.
    • BThe B2C Commerce Order Bundle ingests 30 days of historical data.
    • CThe B2C Commerce Order Bundle ingests 6 months of historical data.
    • DThe B2C Commerce Order Bundle ingests 12 months of historical data.

    Show answer

    Correct answer: B

    How others answered

    • B80%
    • A20%

    Explanation

    SORRY B. After you deploy the bundle, allow at least 24 hours for the data to ingest. When you establish a connection between B2C Commerce and Data Cloud, the B2C Commerce Connector ingests 30 days of historical data. For example, if you establish a connection on May 1, the B2C Commerce Connector ingests historical data from April 2 to May 1. From this point forward, the B2C Commerce Connector continues to ingest data.

    Adapted from community discussion by lucaluca1982 · 2024-12-13 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    • Salesforce Help

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    Question 20 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. K

       kb_monk

       2024-10-08

       5 upvotes

       Should be B https://help.salesforce.com/s/articleView?id=sf.c360_a_create_commerce_cloud_starter_bundle.htm&type=5

    2. L

       lucaluca1982

       2024-12-13

       2 upvotes

       SORRY B. After you deploy the bundle, allow at least 24 hours for the data to ingest. When you establish a connection between B2C Commerce and Data Cloud, the B2C Commerce Connector ingests 30 days of historical data. For example, if you establish a connection on May 1, the B2C Commerce Connector ingests historical data from April 2 to May 1. From this point forward, the B2C Commerce Connector continues to ingest data.

21. Question 21 of 25

    A Data Cloud consultant is in the process of setting up data streams for a new service-based data source. When ingesting Case data, which field is recommended to be associated with the Event Time field?

    • ALast Modified Date
    • BEscalation Date
    • CResolution Date
    • DCreation Date

    Show answer

    Correct answer: D

    How others answered

    • D80%
    • A20%

    Explanation

    Event Time is the Primary Key. All the other fields will generate duplicates every time their values have been changed. https://help.salesforce.com/s/articleView?id=sf.c360_a_container_basics_attributes.htm&type=5

    Adapted from community discussion by edit_certs · 2024-11-30 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

    Supporting references

    • Salesforce Help

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    Candidate context

    Question 21 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. D

       Dimi_Mous

       2024-09-23

       5 upvotes

       D is correct here. Event Time field needs an immutable field and Last Modified Data will keep changing.

    2. E

       edit_certs

       2024-11-30

       Selected D2 upvotes

       Event Time is the Primary Key. All the other fields will generate duplicates every time their values have been changed. https://help.salesforce.com/s/articleView?id=sf.c360_a_container_basics_attributes.htm&type=5

    3. T

       TheKingRimu

       2025-01-26

       Selected D1 upvote

       When ingesting Case data into Data Cloud, the field recommended to be associated with the Event Time field is: D. Creation Date The Creation Date typically represents the initial point in time when the case was logged, making it a reliable reference for the Event Time field. This ensures that the event timeline accurately reflects when the case was first created.

    4. D

       Dimi_Mous

       2024-09-27

       1 upvote

       Scratch that. This is Event Time. I was referring to Event Date - A is the correct one here!

22. Question 22 of 25

    A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to split these point systems into two separate records for better tracking and processing. What should a consultant recommend in this scenario?

    • AUse batch transforms to create a second data lake object.
    • BCreate a junction object in Salesforce CRM and modify the ingestion strategy.
    • CClone the data source object.
    • DCreate a data kit from the data lake object and deploy it to the same Data Cloud org.

    Show answer

    Correct answer: A

    How others answered

    • A89%

    Explanation

    Answer is A. "Batch transforms are a feature that allows creating new data lake objects based on existing data lake objects and applying transformations on them. This can be useful for splitting, merging, or reshaping data to fit the data model or business requirements. In this case, the consultant can use batch transforms to create a second data lake object that contains only the airline points from the original loyalty data object. The original object can be modified to contain only the hotel points. This way, the client can have two separate records for each point system and track and process them accordingly."

    Adapted from community discussion by ivo100 · 2024-08-28 · 3 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

    View community discussion4

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    Question 22 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. I

       ivo100

       2024-08-28

       3 upvotes

       Answer is A. "Batch transforms are a feature that allows creating new data lake objects based on existing data lake objects and applying transformations on them. This can be useful for splitting, merging, or reshaping data to fit the data model or business requirements. In this case, the consultant can use batch transforms to create a second data lake object that contains only the airline points from the original loyalty data object. The original object can be modified to contain only the hotel points. This way, the client can have two separate records for each point system and track and process them accordingly."

    2. C

       chakri04

       2024-09-29

       3 upvotes

       A. Use batch transforms to create a second data lake object. atch transforms in Salesforce Data Cloud allow for manipulating and restructuring data after it has been ingested. You can use batch transforms to split the point balances (hotel points and airline points) into two separate records, each associated with the same customer. This method is efficient for processing the data within the Data Cloud while keeping the ingestion strategy simple.

    3. S

       sfarchex137

       2024-09-15

       Selected A2 upvotes

       A is the right answer, changing source data models is not in the scope of a data cloud harmonization

    4. I

       Ica_carol

       2025-01-30

       1 upvote

       Yes, but that is a solution to be implemented in Salesforce CRM and not in Data Cloud. For Data Cloud, the right answer is A, to use a batch transforms to create a second data lake and split the records.

23. Question 23 of 25

    A consultant is planning the ingestion of a data stream that has profile information including a mobile phone number. To ensure that the phone number can be used for future SMS campaigns, they need to confirm the phone number field is in the proper E164 Phone Number format. However, the phone numbers in the file appear to be in varying formats. What is the most efficient way to guarantee that the various phone number formats are standardized?

    • ACreate a formula field to standardize the format.
    • BCreate a calculated insight after ingestion.
    • CEdit and update the data in the source system prior to sending to Data Cloud.
    • DAssign the PhoneNumber field type when creating the data stream.

    Show answer

    Correct answer: A

    How others answered

    • A60%
    • D40%

    Only 60% agreed on this answer — treat it as contested rather than settled.

    Explanation

    Stores phone numbers. Data Cloud doesn’t validate the format of the phone number. The phone data type is modeled on the text data type. Any valid text value is accepted for field. C can also work but not the most efficient.

    Adapted from community discussion by edit_certs · 2024-11-30 · 3 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    Question 23 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. E

       edit_certs

       2024-11-30

       Selected A3 upvotes

       Stores phone numbers. Data Cloud doesn’t validate the format of the phone number. The phone data type is modeled on the text data type. Any valid text value is accepted for field. C can also work but not the most efficient.

    2. K

       kb_monk

       2024-10-23

       4 upvotes

       Should be "A". The phone data type is modeled on the text data type. Any valid text value is accepted for ingestion into a phone data type field.

24. Question 24 of 25

    Which operator should a consultant use to create a segment for a birthday campaign that is evaluated daily?

    • AIs Today
    • BIs Birthday
    • CIs Between
    • DIs Anniversary Of

    Show answer

    Correct answer: D

    How others answered

    • D75%
    • A25%

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    • Salesforce Help

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    Question 24 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. R

       rrHeraldKing

       2025-03-28

       Selected D1 upvote

       he correct answer is D: 'Is Anniversary Of,' because compared to ''Is Today', the 'Is Anniversary Of,' only validates the month and day, not include the year.

    2. A

       asoksampath

       2025-01-26

       Selected D1 upvote

       Answer D https://help.salesforce.com/s/articleView?id=mktg.mc_jb_create_date_based_event.htm&type=5

    3. D

       Duvaragan

       2025-01-23

       Selected D1 upvote

       Finds audience members for attributes where the day and month match today's date and month.

25. Question 25 of 25

    A consultant needs to publish segment data to the Audience DMO that can be retrieved using the Query APIs. When creating the activation target, which type of target should the consultant select?

    • AExternal Activation Target
    • BMarketing Cloud
    • CMarketing Cloud Personalization
    • DData Cloud

    Show answer

    Correct answer: D

    How others answered

    • D100%

    Explanation

    To publish segment data to the Audience DMO that can be retrieved using the Query APIs, the consultant should select the Data Cloud activation target. The Data Cloud activation target allows you to publish segments to the Audience DMO, enabling access to data from segments without a direct connection to an internal or external target system. This data can then be retrieved using Query APIs, similar to querying any other DMO.

    Adapted from community discussion by TheKingRimu · 2025-01-26 · 2 community upvotes. Third-party contribution; reviewed by our quality filter, not independently verified.

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    Question 25 discussion

    These are quality-filtered excerpts from third-party community discussion. They can be useful reasoning signals, but they are not official answers and have not been independently verified by DATA-CLOUD or CertExamHQ.

    1. T

       TheKingRimu

       2025-01-26

       Selected D2 upvotes

       To publish segment data to the Audience DMO that can be retrieved using the Query APIs, the consultant should select the Data Cloud activation target. The Data Cloud activation target allows you to publish segments to the Audience DMO, enabling access to data from segments without a direct connection to an internal or external target system. This data can then be retrieved using Query APIs, similar to querying any other DMO.

    2. K

       kb_monk

       2024-10-09

       3 upvotes

       Should be "D" https://help.salesforce.com/s/articleView?id=sf.c360_a_create_dc_audience_dmo_activation_target.htm&type=5

Keyboard:J Kmove between questionsA–Dselect an answerRshow or hide the answer← →change page

DATA-CLOUD practice, question 1 of 25