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Salesforce Certified AI Associate Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails.
Which data quality dimension should be assessed to reduce these communication Inefficiencies?

A. Consent
B. Duplication
C. Usage

Answer: B

Explanation:
"Duplication is the data quality dimension that should be assessed to reduce communication inefficiencies.
Duplication means that the data contains multiple copies or instances of the same record or value. Duplication can cause confusion, errors,or waste in data analysis and processing. For example, duplication can lead to communication inefficiencies if customers receive multiple calls or emails from different sources for the same purpose."

NEW QUESTION # 21
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. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.
C. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.

Answer: B

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 # 22
What are some key benefits of AI in improving customer experiences in CRM?

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

Answer: A

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 # 23
What are the key components of the data quality standard?

A. Reviewing, Updating, Archiving
B. Naming, formatting, Monitoring
C. Accuracy, Completeness, Consistency

Answer: C

Explanation:
Explanation
"Accuracy, Completeness, Consistency are the key components of the data quality standard. Data quality standard is a set of criteria or measures that define and evaluate the quality of data for a specific purpose or task. Data quality standard can vary by industry, domain, or application, but some common components are accuracy, completeness, and consistency. Accuracy means that the data values are correct and valid for the data attribute. Completeness means that the data values are not missing any relevant information for the data attribute. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources."

NEW QUESTION # 24
A business analyst (BA) wants to improve business by enhancing their sales processes and customer..
Which AI application should the BA use to meet their needs?

A. Machine learning models and chatbot predictions
B. Lead scoring, opportunity forecasting, and case classification
C. Sales data cleansing and customer support data governance

Answer: B

Explanation:
"Lead scoring, opportunity forecasting, and case classification are AI applications that can help abusiness analyst improve their sales processes and customer support. Lead scoring can help prioritize leads based on their likelihood to convert, opportunity forecasting can help predict future sales or revenue based on historical data and trends, and caseclassification can help categorize and route cases based on their attributes."

NEW QUESTION # 25
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Salesforce Certified AI Associate Exam prepking test & Salesforce-AI-Associate torrent pdf & Salesforce Certified AI Associate Exam reliable vce

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Salesforce Certified AI Associate Exam Sample Questions (Q20-Q25):

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