AI-ASSOCIATE practice questions 31–40

1. Question 31 · 78 in bank

   Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution. Which data quality dimension is essential for this custom application?

   • AAge
   • BDuplication
   • CConsistency

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   Answer: A

   Explanation

   Age is a data quality dimension that is essential for the custom service analytics application to analyze cases in Salesforce. Age refers to how recent the data is and how well it reflects the current situation. For the custom service analytics application, the data should be as fresh and up-to-date as possible, as older data may not capture the latest status, progress, or resolution of the cases. Using outdated data can lead to inaccurate or misleading analysis and insights, and affect the efficiency and effectiveness of the case resolution.

   Source: Adapted from community discussion — ivo100

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2. Question 32 · 78 in bank

   How does the "right of least privilege" reduce the risk of handling sensitive personal data?

   • ABy limiting how many people have access to data
   • BBy applying data retention policies
   • CBy reducing how many attributes are collected

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   Answer: A

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3. Question 33 · 78 in bank

   A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis. Which primary role does data quality play in this AI application?

   • AEnhanced accuracy and reliability of medical predictions and diagnoses
   • BReduced need for healthcare expertise in interpreting AI outputs
   • CEnsured compatibility of AI algorithms with the system's infrastructure

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   Answer: A

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4. Question 34 · 78 in bank

   What are the key components of the data quality standard?

   • AAccuracy, Completeness, Consistency
   • BReviewing, Updating, Archiving
   • CNaming, Formatting, Monitoring

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   Answer: A

   References

   • trailhead.salesforce.com documentation
   • trailhead.salesforce.com documentation

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5. Question 35 · 78 in bank

   What is a sensitive variable that can lead to bias?

   • ACountry
   • BGender
   • CEducation level

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   Answer: B

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6. Question 36 · 78 in bank

   What is a benefit of a diverse, balanced, and large dataset?

   • ATraining time
   • BModel accuracy
   • CData privacy

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   Answer: B

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7. Question 37 · 78 in bank

   Which features of Einstein enhance sales efficiency and effectiveness?

   • AOpportunity Scoring, Lead Scoring, Account Insights
   • BOpportunity List View, Lead List View, Account List view
   • COpportunity Scoring, Opportunity List View, Opportunity Dashboard

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   Answer: A

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8. Question 38 · 78 in bank

   How does an organization benefit from using AI to personalize the shopping experience of online customers?

   • ACustomers are more likely to visit competitor sites that personalize their experience.
   • BCustomers are more likely to share personal information with a site that personalizes their experience.
   • CCustomers are more likely to be satisfied with their shopping experience.

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   Answer: C

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9. Question 39 · 78 in bank

   A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior. What is a crucial factor that the developer should consider during selection?

   • ASize of the dataset
   • BNumber of variables in the dataset
   • CAge of the dataset

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   Answer: A

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10. Question 40 · 78 in bank

    What should organizations do to ensure data quality for their AI initiatives?

    • APrioritize model fine-tuning over data quality improvements.
    • BCollect and curate high-quality data from reliable sources.
    • CRely on AI algorithms to automatically handle data quality issues.

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    Answer: B

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AI-ASSOCIATE practice, question 31. 78 questions available.