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Salesforce-AI-Associate Salesforce Certified AI Associate Exam (SP25) is now Stable and With Pass Result | Test Your Knowledge for Free

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Salesforce-AI-Associate Practice Questions

Salesforce Certified AI Associate Exam (SP25)

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Total Questions : 105

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Question # 21

Cloud Kicks' latest email campaign is struggling to attract new customers.

How can AI increase the company's customer email engagement?

Options:

A.  

Create personalized emails

B.  

Resend emails to inactive recipients

C.  

Remove invalid email addresses

Discussion 0
Question # 22

What is the key difference between generative and predictive AI?

Options:

A.  

Generative AI creates new content based on existing data and predictive AI analyzes existing data.

B.  

Generative AI finds content similar to existing data and predictive AI analyzes existing data.

C.  

Generative AI analyzes existing data and predictive AI creates new content based on existing data.

Discussion 0
Question # 23

What is a possible outcome of poor data quality?

Options:

A.  

AI models maintain accuracy but have slower response times.

B.  

Biases in data can be inadvertently learned and amplified by AI systems.

C.  

AI predictions become more focused and less robust.

Discussion 0
Question # 24

What is a benefit of a diverse, balanced, and large dataset?

Options:

A.  

Training time

B.  

Data privacy

C.  

Model accuracy

Discussion 0
Question # 25

Which best describes the difference between predictive AI and generative Al?

Options:

A.  

Predictive AT uses machine learning to classify or predict outputs from its input data whereas generative Al does not use machine learning to generate its output.

B.  

Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input

C.  

Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive AT receives raw data whereas generative AT receives natural language.

Discussion 0
Question # 26

Cloud kicks wants to decrease the workload for its customer care agents by implementing a chatbot on its website that partially deflects incoming cases by answering frequency asked questions

Which field of AI is most suitable for this scenario?

Options:

A.  

Natural language processing

B.  

Computer vision

C.  

Predictive analytics

Discussion 0
Question # 27

Cloud Kicks uses Einstein to generate predictions out is not seeing accurate results?

What to a potential mason for this?

Options:

A.  

Poor data quality

B.  

The wrong product

C.  

Too much data

Discussion 0
Question # 28

Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution.

Which data quality dimension Is essential for this custom application?

Options:

A.  

Consistency

B.  

Duplication

C.  

Age

Discussion 0
Question # 29

How does the "right of least privilege" reduce the risk of handling sensitive personal data?

Options:

A.  

By limiting how many people have access to data

B.  

By reducing how many attributes are collected

C.  

By applying data retention policies

Discussion 0
Question # 30

Cloud Kicks wants to use an AI mode to predict the demand for shoes using historical data on sales and regional characteristics.

What is an essential data quality dimension to achieve this goal?

Options:

A.  

Reliability

B.  

Volume

C.  

Age

Discussion 0
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