Salesforce-AI-Associate試験無料問題集（107題）「Salesforce Certified AI Associate 認定」

出題：1

A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets.
Which Salesforce Trusted AI Principles is being practiced>

A. Transparency

B. Accountability

C. Inclusivity

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

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. Ensured compatibility of AI algorithms with the system's Infrastructure

B. Reduced need for healthcare expertise in interpreting AI outouts

C. Enhanced accuracy and reliability of medical predictions and diagnoses

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

What is a sensitive variable that car esc to bias?

A. Gender

B. Education level

C. Country

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

What role does data quality play in the ethical us of AI applications?

A. High-quality data ensures the process of demographic attributes requires for personalized campaigns.

B. High-quality data is essential for ensuring unbased and for fair AI decisions, promoting ethical use, and preventing discrimi...

C. Low-quality data reduces the risk of unintended bias as the data is not overfitted to demographic groups.

正解：B 解答を投票する

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出題：5

What is the most likely impact that high-quality data will have on customer relationships?

A. Higher customer acquisition costs

B. Increased brand loyalty

C. Improved customer trust and satisfaction

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：6

A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

A. An explanation of the prediction's rationale and a model card that describes how the model was created

B. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles

C. A marketing article of the product that clearly outlines the oroduct's capabilities and features

正解：A 解答を投票する

出題：7

How does data quality impact the trustworthiness of Al-driven decisions?

A. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.

B. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.

C. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：8

How does an organization benefit from using AI to personalize the shopping experience of online customers?

A. Customers are more likely to share personal information with a site that personalizes their experience.

B. Customers are more likely to be satisfied with their shopping experience.

C. Customers are more likely to visit competitor sites that personalize their experience.

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：9

How does poor data quality affect predictive and generative AI models?

A. Decreases storage efficiency

B. Creates inaccurate results

C. Increases raw data volume

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：10

What are the key components of the data quality standard?

A. Naming, formatting, Monitoring

B. Accuracy, Completeness, Consistency

C. Reviewing, Updating, Archiving

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

Salesforce-AI-Associate試験無料問題集「Salesforce Certified AI Associate 認定」