DATA-CLOUD practice questions 11–20

1. Question 11 · 96 in bank

   A consultant is integrating an Amazon S3 activated campaign with the customer's destination system. In order for the destination system to find the metadata about the segment, which file on the S3 will contain this information for processing?

   • AThe .json file
   • BThe .txt file
   • CThe .zip file
   • DThe .csv file

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   Answer: A

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2. Question 12 · 96 in bank

   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

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   Answer: B

   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).

   Source: Adapted from community discussion — Duvaragan

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3. Question 13 · 96 in bank

   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

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   Answer: A

   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.

   Source: Adapted from community discussion — Ica_carol

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4. Question 14 · 96 in bank

   Select 2

   Which two common use cases can be addressed with Data Cloud? (Choose two.)

   • ASafeguard critical business data by serving as a centralized system for backup and disaster recovery.
   • BHarmonize data from multiple sources with a standardized and extendable data model.
   • CUnderstand and act upon customer data to drive more relevant experiences.
   • DGovern enterprise data lifecycle through a centralized set of policies and processes.

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   Answer: BC

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5. Question 15 · 96 in bank

   Select 2

   A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours. Which two areas should a consultant review to troubleshoot this issue? (Choose two.)

   • AReview data transformations to ensure they're run after calculated insights.
   • BReview calculated insights to make sure they're run after the segments are refreshed.
   • CReview segments to ensure they’re refreshed after the data is ingested.
   • DReview calculated insights to make sure they're run before segments are refreshed.

   Show answer

   Answer: CD

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6. Question 16 · 96 in bank

   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.

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   Answer: AC

   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.

   Source: Adapted from community discussion — Sekharrajkumar

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7. Question 17 · 96 in bank

   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

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   Answer: B

   References

   • Salesforce Help
   • Salesforce Help

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8. Question 18 · 96 in bank

   Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?

   • AParty
   • BGlobal Account
   • CMembership
   • DEngagement

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   Answer: A

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9. Question 19 · 96 in bank

   The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream. Which statement addresses the cause of this issue?

   • AThe Salesforce Data Loader application should be used to perform a bulk upload from a desktop.
   • BAfter 24 hours when the data stream refreshes, it will automatically include any new fields that were added to the Salesforce CRM.
   • CThe Salesforce Integration User is missing Read permissions on the newly created field.
   • DCustom fields on the Case object are not supported for ingesting into Data Cloud.

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   Answer: C

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10. Question 20 · 96 in bank

    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

    Answer: B

    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.

    Source: Adapted from community discussion — Blablabla39

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DATA-CLOUD practice, question 11. 96 questions available.