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Salesforce-AI-Associate Free Study Torrent & Salesforce-AI-Associate Pdf Vce & Salesforce-AI-Associate Updated Torrent

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Salesforce Certified AI Associate Exam Sample Questions (Q98-Q103):

NEW QUESTION # 98
A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately.
Which functionality provides the best solution?

  • A. Auto-Generated Sales Tasks
  • B. Sales Dialer
  • C. Call Summaries

Answer: C

Explanation:
The best functionality to help sales representatives log their calls quicker and more accurately is the use of AI- generated Call Summaries. This feature leverages AI to analyze voice data from sales calls and automatically generate concise summaries and actionable insights, which are then logged into the CRM system. This not only speeds up the process of recording call details but also enhances the accuracy of the data captured, reducing the likelihood of human error and ensuring that important details are not missed. Salesforce provides AI tools that integrate with telephony solutions to enable these capabilities, enhancing the efficiency of sales operations. For more information on Salesforce AI features like Einstein Call Coaching that support this functionality, visit Salesforce Einstein Call Coaching.


NEW QUESTION # 99
Which type of bias imposes a system 's values on others?

  • A. Societal
  • B. Automation
  • C. Association

Answer: A


NEW QUESTION # 100
In the context of Salesforce's Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

  • A. Empower users to off all skill level to build AI application with clicks, not code.
  • B. Empower users to solve challenging technical problems using neural networks.
  • C. Empower users to contribute to the growing body of knowledge of leading AIresearch.

Answer: A

Explanation:
"The principle of Empowerment primarily aims to achieve empowering users of all skill levels to build AI applications with clicks, not code. Empowerment isone of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the empowerment and education of humans. Empowering users means enabling users to access, use, and benefit from AI systems regardless of their technical expertise or background. For example, empowering users means providing tools and platforms that allow users to build AI applications with clicks, not code, such as Einstein Prediction Builder or Einstein Discovery."


NEW QUESTION # 101
What is one way to achieve transparency in AI?

  • A. Allow users to give feedback regarding the inferences the AI makes about them.
  • B. Communicate AI goals and objectives with those involved prior to all interactions.
  • C. Establish an ethical and unbiased culture amongst those involved.

Answer: A

Explanation:
Transparency in AI refers to making AI decisions understandable and accountable to users and stakeholders.
It involves explaining how AI models make decisions and ensuring that users can question or challenge AI outcomes.
Option A (Incorrect): While establishing an ethical and unbiased culture is essential for responsible AI development, it does not directly contribute to AI transparency. Transparency requires clear communication and user engagement.
Option B (Incorrect): Communicating AI goals and objectives is helpful but insufficient on its own.
Transparency also includes revealing AI decision-making processes and allowing user oversight.
Option C (Correct): Allowing users to give feedback regarding AI inferences ensures transparency by making AI decision-making accountable. Users can report errors, biases, or misunderstandings, helping improve AI fairness and reliability.


NEW QUESTION # 102
A business analyst (BA) is preparing a new use case for Al. They run a report to check for null values in the attributes they plan to use.
Which data quality component Is the BA verifying by checking for null values?

  • A. Duplication
  • B. Usage
  • C. Completeness

Answer: C

Explanation:
By checking for null values, a business analyst (BA) is verifying the data quality component of completeness.
Completeness refers to the absence of missing values or gaps in the data, which is essential for the accuracy and reliability of reports and analytics used in AI models. Null values can indicate incomplete data, which may adversely affect the performance of AI applications by leading to incorrect predictions or insights. Salesforce emphasizes the importance of data completeness for effective data analysis and provides tools for data quality assessment and improvement. Details on handling data completeness in Salesforce can be explored at Salesforce Help Data Management.


NEW QUESTION # 103
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