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Salesforce Salesforce-AI-Associate Latest Exam, Reliable Salesforce-AI-Associate Test Simulator

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Salesforce Certified AI Associate Exam Sample Questions (Q101-Q106):

NEW QUESTION # 101
A data quality expert at Cloud Kicks want to ensure that each new contact contains at least an email address ...
Which feature should they use to accomplish this?

A. Autofill
B. Duplicate matching rule
C. Validation rule

Answer: C

Explanation:
Explanation
"A validation rule should be used to ensure that each new contact contains at least an email address or phone number. A validation rule is a feature that checks the data entered by users for errors before saving it to Salesforce. A validation rule can help ensure data quality by enforcing certain criteria or conditions for the data values."

NEW QUESTION # 102
What is a possible outcome of poor data quality?

A. Biases in data can be inadvertently learned and amplified by AI systems.
B. AI models maintain accuracy but have slower response times.
C. AI predictions become more focused and less robust.

Answer: A

Explanation:
"A possible outcome of poor data quality is that biases in data can be inadvertently learned and amplified by AI systems. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor data quality can affect the performance and reliability of AI systems, as they may not have enough or correct information to learn from or make accurate predictions. Poor data quality can also introduce or exacerbate biases in data, such as human bias, societal bias, or confirmation bias, which can affect the fairness and ethics of AI systems."

NEW QUESTION # 103
What is a benefit of a diverse, balanced, and large dataset?

A. Data privacy
B. Model accuracy
C. Training time

Answer: B

Explanation:
"Model accuracy is a benefit of a diverse, balanced, and large dataset. A diverse dataset can capture a variety of features and patterns that are relevant for the AI task. A balanced dataset can avoid overfitting orunderfitting the model to a specific subset of data. A large dataset can provide enough information for the model to learn from and generalize well to new data."

NEW QUESTION # 104
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:
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 # 105
Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history.
Which type of bias is most likely to be encountered in this scenario?

A. Survivorship
B. Societal
C. Confirmation

Answer: C

Explanation:
"Confirmation bias is most likely to be encountered in this scenario. Confirmation bias is a type of bias that occurs when data or information confirms or supports one'sexisting beliefs or expectations. For example, confirmation bias can occur when a product recommendation feature only recommends shoes of a given color based on the customer's purchase history, without considering other factors or preferences that may influence their choice."

NEW QUESTION # 106
......

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