Free Certified AI Associate Sample Questions — Certified AI Associate

What is a potential source of bias in training data for AI models?

• A. The data is collected in real time from source systems
• B. The data is collected from a diverse range of sources and demographics
• C. The data is skewed toward a particular demographic or source

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?

• A. Determine data availability
• B. Determine data outcomes
• C. Remove biased data

Cloud Kicks' latest email campaign is struggling to attract new customers. How can AI increase the company's customer email engagement?

• A. Remove invalid email addresses
• B. Resend emails to inactive recipients
• C. Create personalized emails

Cloud Kicks wants to develop a solution to predict customers’ product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a picklist. Which dimension of data quality is affected in this scenario?

• A. Accuracy
• B. Completeness
• C. Consistency

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

Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this issue?

• A. Consistency
• B. Usage
• C. Accuracy

A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of the AI models?

• A. Volume
• B. Consistency
• C. Performance

Cloud Kicks relies on data analysis to optimize its product recommendations; however, CK encounters a recurring issue of incomplete customer records, with missing contact information and incomplete purchase histories. How will this incomplete data quality impact the company's operations?

• A. The diversity of product recommendations is improved
• B. The response time for product recommendations is stalled
• C. The accuracy of product recommendations is hindered

Which statement exemplifies Salesforce's honesty guideline when training AI models?

• A. Control bias, toxicity, and harmful content with embedded guardrails and guidance
• B. Ensure appropriate consent and transparency when using AI- generated responses
• C. Minimize the AI model's carbon footprint and environmental impact during training

Cloud Kicks is testing a new AI model. Which approach aligns with Salesforce's Trusted AI Principle of Inclusivity?

• A. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model
• B. Test with diverse and representative datasets appropriate for how the model will be used
• C. Test only with data from a specific region or demographic to limit the risk of data leaks

A data quality expert at Cloud Kicks wants to ensure that each new contact contains at least an email address or phone number. Which feature should they use to accomplish this?

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

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?

• A. Age
• B. Duplication
• C. Consistency

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

• A. High-quality data improves the reliability and credibility of AI-driven decisions, fostering trust among users
• B. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions
• C. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions

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. Duplication
• B. Consent
• C. Usage

Which Einstein capability uses emails to create content for Knowledge articles?

• A. Predict
• B. Discover
• C. Generate

What is a key benefit of effective interaction between humans and AI systems?

• A. Leads to more informed and balanced decision-making
• B. Alerts humans to the presence of biased data
• C. Reduces the need for human involvement

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. Enhanced accuracy and reliability of medical predictions and diagnoses
• B. Reduced need for healthcare expertise in interpreting AI outputs
• C. Ensured compatibility of AI algorithms with the system's infrastructure

What is a benefit of data quality and transparency as it pertains to bias in generative AI?

• A. Chances of bias are aggravated
• B. Chances of bias are removed
• C. Chances of bias are mitigated

How does AI within CRM help sales representatives better understand previous customer interactions?

• A. Creates, localizes, and translates product descriptions
• B. Provides call summaries
• C. Triggers personalized service replies

What should organizations do to ensure data quality for their AI initiatives?

• A. Prioritize model fine-tuning over data quality improvements
• B. Collect and curate high-quality data from reliable sources
• C. Rely on AI algorithms to automatically handle data quality issues