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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic
Details

Topic 1

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

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

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 4

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.

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Salesforce Certified AI Associate Exam Sample Questions (Q40-Q45):

NEW QUESTION # 40
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?

A. Chances of bias are aggravated
B. Chances of bIas and mitigated
C. Chances of bias are remove

Answer: B

Explanation:
"Data quality and transparency can help mitigate the chances of bias in generative AI. Data quality means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can help mitigate bias by ensuring that the generative AI model learns from a balanced and representative sample of the target population or domain. Data transparency means that the data sources, methods, and processes are clear and open to inspection and verification. Data transparency can help mitigate bias by allowing users to understand and evaluate the dataused or generated by the generative AI model."

NEW QUESTION # 41
How does data quality impact the trustworthiness of Al-driven decisions?

A. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.
B. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.
C. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.

Answer: C

Explanation:
"High-quality dataimproves the reliability and credibility of AI-driven decisions, fostering trust among users.
High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task.
High-quality data can improve the performance and reliability of AI systems, as they have enough and correct information to learn from and make accurate predictions. High-quality data can also improve the trustworthiness of AI-driven decisions, as users can have more confidence and satisfaction in using AIsystems."

NEW QUESTION # 42
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. Completeness
C. Usage

Answer: B

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 # 43
What are some key benefits of AI in improving customer experiences in CRM?

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

Answer: C

Explanation:
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 customer experiences 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 # 44
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?

A. Reduced need for healthcare expertise in interpreting AI outouts
B. Enhanced accuracy and reliability of medical predictions and diagnoses
C. Ensured compatibility of AI algorithms with the system's Infrastructure

Answer: B

Explanation:
"Data quality plays a crucial role in enhancing the accuracy and reliability of medical predictions and diagnoses. Poor data quality can lead to inaccurate or misleading results, which can have serious consequences for patients' health and well-being. Therefore, it is important to ensure that the dataused for AI applications in healthcare is accurate, complete, consistent, and relevant."

NEW QUESTION # 45
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