AI-ASSOCIATE practice questions 71–78

1. Question 71 · 78 in bank

   What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?

   • ADifferent types of AI that can be applied in Salesforce
   • BDifferent types of automation tools used in Salesforce
   • CDifferent types of data models used in Salesforce

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   Answer: A

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2. Question 72 · 78 in bank

   In the context of Salesforce's Trusted AI Principles, what does the principle of Responsibility primarily focus on?

   • AEnsuring ethical use of AI
   • BOutlining the technical specifications for AI integration
   • CProviding a framework for data model accuracy

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   Answer: A

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3. Question 73 · 78 in bank

   Cloud Kicks' latest email campaign is struggling to attract new customers. How can AI increase the company's customer email engagement?

   • ARemove invalid email addresses
   • BResend emails to inactive recipients
   • CCreate personalized emails

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   Answer: A

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4. Question 74 · 78 in bank

   How does AI within CRM help sales representatives better understand previous customer interactions?

   • ACreates, localizes, and translates product descriptions
   • BProvides call summaries
   • CTriggers personalized service replies

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   Answer: B

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5. Question 75 · 78 in bank

   A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of the AI models?

   • AVolume
   • BConsistency
   • CPerformance

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   Answer: B

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6. Question 76 · 78 in bank

   A sales manager is looking to enhance the quality of lead data in their CRM system. Which process will most likely help the team accomplish this goal?

   • ARedesign the lead conversion process.
   • BReview and update missing lead information.
   • CPrioritize active leads quarterly.

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   Answer: B

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7. Question 77 · 78 in bank

   Why is it critical to consider privacy concerns when dealing with AI and CRM data?

   • AEnsures compliance with laws and regulations
   • BConfirms the data is accessible to all users
   • CIncreases the volume of data collected

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   Answer: A

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8. Question 78 · 78 in bank

   What does the term "data completeness" refer to in the context of data quality?

   • AThe degree to which all required data points are present in the dataset
   • BThe process of aggregating multiple datasets from various databases
   • CThe ability to access data from multiple sources in real time

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   Answer: A

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AI-ASSOCIATE practice, question 71. 78 questions available.