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Home Salesforce Certified AI Associate

Salesforce Certified AI Associate Exam Practice Questions (P. 2)

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Question #6
What is a benefit of data quality and transparency as it pertains to bias in generative AI?
  1. A
    Chances of bias are aggravated.
  2. B
    Chances of bias are removed.
  3. C
    Chances of bias are mitigated.

Correct Answer:
C
chatbot-img GPT-4o - Answer
Improving data quality and enhancing transparency in generative AI significantly helps reduce the chances of bias. By ensuring that the data fed into AI systems is accurate and representative, and that the processes are clear, we can better identify and correct biases, ultimately leading to fairer outcomes. This doesn't remove bias entirely, but it's a crucial step in mitigating it effectively.

Question #7
A business analyst (BA) wants to improve business by enhancing their sales processes and customer support.
Which AI applications should the BA use to meet their needs?
  1. A
    Sales data cleansing and customer support data governance
  2. B
    Machine learning models and chatbot predictions
  3. C
    Lead scoring, opportunity forecasting, and case classification

Correct Answer:
C
chatbot-img GPT-4o - Answer
The correct answer, C, which includes lead scoring, opportunity forecasting, and case classification, aligns perfectly with enhancing both sales processes and customer support. Lead scoring helps prioritize prospects likely to convert, opportunity forecasting aids in understanding potential sales values and timelines, and case classification streamlines customer service responses. These AI applications are integral in both boosting sales effectiveness and improving customer support efficiency.

Question #8
How does AI within CRM help sales representatives better understand previous customer interactions?
  1. A
    Creates, localizes, and translates product descriptions
  2. B
    Provides call summaries
  3. C
    Triggers personalized service replies

Correct Answer:
B
chatbot-img GPT-4o - Answer
Absolutely! AI is a game-changer in CRM because it can analyze past interactions and provide concise call summaries. This feature is crucial for sales reps as it helps them quickly understand the history and context of their dealings with a customer. This makes each interaction more informed and personalized, directly contributing to better customer service and more effective sales strategies. Helpful, right?

Question #9
Why is it critical to consider privacy concerns when dealing with AI and CRM data?
  1. A
    Ensures compliance with laws and regulations
  2. B
    Confirms the data is accessible to all users
  3. C
    Increases the volume of data collected

Correct Answer:
A
chatbot-img GPT-4o - Answer
Absolutely, when handling AI and CRM data, prioritizing privacy is crucial primarily because it aligns with various legal frameworks designed to protect personal data. Staying compliant not only avoids legal repercussions but also builds trust with customers by safeguarding their information. This ensures that the integration and use of AI within CRM systems remain within ethical and legal boundaries, reflecting best practices in data management.

Question #10
A data quality expert at Cloud Kicks wants to ensure that each new contact contains at least an email address or phone number.
Which feature should they use to accomplish this?
  1. A
    Validation rule
  2. B
    Autofill
  3. C
    Duplicate matching rule

Correct Answer:
A
chatbot-img GPT-4o - Answer
Perfect choice! Validation rules in Salesforce are ideal for ensuring that every new contact meets specific requirements, like including an email address or phone number. By leveraging these rules, the data quality expert can set conditional requirements that must be met, directly addressing your needs. This ensures the data remains reliable and useful for business operations.

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