Salesforce Certified AI Associate Reviewer

Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.

What should the company do first to prepare its data for use with AI?

• Remove biased data.

• Determine data availability.

• Determine data outcomes.

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

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

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

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

What is the key difference between generative and predictive AI?

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

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

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

A marketing manager wants to use AI to better engage their customers. Which functionality provides the best solution?

• Journey Optimization

• Bring Your Own Model

• Einstein Engagement

What is an implication of user consent in regard to AI data privacy?

• AI ensures complete data privacy by automatically obtaining user consent.

• AI infringes on privacy when user consent is not obtained.

• AI operates Independently of user privacy and consent.

What is the rile of data quality in achieving AI business Objectives?

• Data quality is important for maintain Ai data storage limits

• Data quality is required to create accurate AI data insights.

• Data quality is unnecessary because AI can work with all data types.

What is a potential outcome of using poor-quality data in AI application?

• AI model training becomes slower and less efficient

• AI models may produce biased or erroneous results.

• AI models become more interpretable

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

• By limiting how many people have access to data

• By reducing how many attributes are collected

• By applying data retention policies

What are the key components of the data quality standard?

• Naming, formatting, Monitoring

• Accuracy, Completeness, Consistency

• Reviewing, Updating, Archiving

To avoid introducing unintended bias to an AI model, which type of data should be omitted?

• Transactional

• Engagement

• Demographic