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Salesforce-AI-Associate Exam Learning & Salesforce-AI-Associate Exam Testking

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic
Details

Topic 1

Ethical Considerations of AI: It delves into the ethical challenges of AI such as human bias in machine learning, lack of transparency, etc. The topic also explains how to apply the Trusted AI Principles of Salesforce to given scenarios.

Topic 2

Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.

Topic 3

AI Fundamentals: This topic discusses the major principles and applications of AI within Salesforce. It also focuses on different types of AI and their capabilities.

Topic 4

AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.

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Salesforce Certified AI Associate Exam Sample Questions (Q71-Q76):

NEW QUESTION # 71
Which type of bias imposes a system 's values on others?

A. Societal
B. Association
C. Automation

Answer: A

Explanation:
"Societal bias is the type of bias that imposes a system's values on others. Societal bias isa type of bias that reflects the assumptions, norms, or values of a specific society or culture. Societal bias can affect the fairness and ethics of AI systems, as they may affect how different groups or domains are perceived, treated, or represented by AI systems. For example, societal bias can occur when AI systems impose a system's values on others, such as using Western standards of beauty or success to judge or rank people from other cultures."

NEW QUESTION # 72
What are some key benefits of AI in improving customer experiences in CRM?

A. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
B. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions
C. Fully automates the customer service experience, ensuring seamless automated interactions with customers

Answer: B

Explanation:
"Streamlining case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions are some key benefits of AI in improving customerexperiences in CRM. AI can help automate and optimize various aspects of customer service, such as routing cases to the right agents, providing relevant information or suggestions, and generating reports or insights. AI can also help enhance customer satisfaction and loyalty by reducing wait times, improving response quality, and providing personalized solutions."

NEW QUESTION # 73
Cloud Kicks discovered multiple variations of state and country values in contact records.
Which data quality dimension is affected by this issue?

A. Accuracy
B. Usage
C. Consistency

Answer: C

Explanation:
"Consistency is the data quality dimensionthat is affected by multiple variations of state and country values in contact records. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources. Inconsistent data can cause confusion, errors, or duplication in data analysis and processing."

NEW QUESTION # 74
What is an implication of user consent in regard to AI data privacy?

A. AI ensures complete data privacy by automatically obtaining user consent.
B. AI infringes on privacy when user consent is not obtained.
C. AI operates Independently of user privacy and consent.

Answer: B

Explanation:
Explanation
"AI infringes on privacy when user consent is not obtained. User consent is the permission or agreement given by a user to allow their personal data to be collected, used, shared, or stored by others. User consent is an important aspect of data privacy, which is the right of individuals to control how their personal data is handled by others. AI infringes on privacy when user consent is not obtained because it violates the user's rights and preferences regarding their personal data."

NEW QUESTION # 75
What is the rile of data quality in achieving AI business Objectives?

A. Data quality is unnecessary because AI can work with all data types.
B. Data quality is important for maintain Ai data storage limits
C. Data quality is required to create accurate AI data insights.

Answer: C

Explanation:
Explanation
"Data quality is required to create accurate AI data insights. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Data quality can also affect the accuracy and validity of AI data insights, as they reflect the quality of the data used or generated by AI systems."

NEW QUESTION # 76
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