AI Associate Practice Test 39 — 15 Questions

Question 1

A company uses Einstein Bots to handle customer inquiries. To comply with GDPR's right to explanation for automated decisions affecting customers, which TWO capabilities must the bot implementation include?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Provide a mechanism for customers to request an explanation of the bot's decision. Right to explanation requires that customers can get reasons for automated decisions. Logging the factors and providing a way for customers to request explanations are key. Using consent management and data retention are important but not specifically for explanation.

Answer

Collect explicit consent from customers before using the bot

Answer

Use a pre-trained model with high accuracy on industry benchmarks

Answer

Retain customer data for at least 30 days after the interaction

Question 2

A company is deploying an Einstein chatbot to handle customer support inquiries. They want to ensure compliance with data privacy regulations and ethical AI principles. Which TWO actions should they take?

Accepted Answer

Enable PII masking in the Einstein Trust Layer. PII masking protects customer privacy by removing sensitive data from requests. Human oversight ensures that automated decisions are reviewed when necessary, especially for high-stakes interactions.

Answer

Disable audit trails to reduce data storage

Answer

Store all customer chat logs indefinitely for model retraining

Answer

Allow the chatbot to use all available customer data without restrictions

Question 3

A sales operations manager wants to ensure that the AI-driven lead scoring model in Salesforce does not discriminate against certain demographic groups. Which Salesforce tool or feature should they use to regularly check for bias in the model's predictions?

Accepted Answer

Use Einstein Trust Layer audit trail and model explainability features. Einstein Trust Layer's audit trail and model explainability features allow tracking predictions and identifying skewed outcomes. For bias auditing, Einstein Discovery provides fairness metrics and predictions explanations. However, the correct answer is the Einstein Trust Layer's ability to log AI decisions and the audit trail, combined with model explainability. Among the options, 'Use Einstein Trust Layer audit trail and model explainability' is the best fit.

Answer

Implement Data Processing Addendum (DPA) for all customer data

Answer

Enable zero data retention policy to prevent data leakage

Answer

Use Data Cloud to merge all demographic data into a single profile

Question 4

A company is using Einstein Service Replies to generate suggested responses for service agents. They want to ensure that agents always review and approve the suggested reply before it is sent to the customer. Which configuration best supports this requirement?

Accepted Answer

Configure Einstein Service Replies to require agent approval before sending. Human oversight requires that AI-generated content be reviewed before sending. Einstein Service Replies can be configured to require agent approval before the reply is sent, which is a direct implementation of human oversight.

Answer

Use Einstein Bots instead of Service Replies

Answer

Turn on toxicity detection for all replies

Answer

Enable auto-send for Einstein Service Replies

Question 5

A financial services company is deploying an Einstein chatbot that provides investment advice. They want to ensure that if the chatbot generates a potentially harmful recommendation (e.g., suggesting a risky trade), the message is blocked before reaching the customer. Which Einstein Trust Layer capability should they rely on?

Accepted Answer

Toxicity detection. Toxicity detection identifies harmful or offensive content. In this context, harmful financial advice can be flagged as toxic. Human oversight (agent review) would also be applicable, but the question specifically asks about blocking before reaching the customer via a capability of the Trust Layer.

Answer

Grounding

Answer

Zero data retention

Answer

PII masking

Question 6

A sales rep receives an AI-generated recommendation to upsell a product to a customer. The rep wants to verify the reasoning behind the recommendation before acting. What Salesforce feature can the rep use to see the key factors that influenced the recommendation?

Accepted Answer

Einstein Discovery score factors. Einstein Discovery provides prediction explanations and score factors. For recommendations within Sales Cloud, the 'Why this recommendation' feature (part of Einstein Discovery) shows the most influential fields.

Answer

Einstein Next Best Action

Answer

Einstein Activity Capture

Answer

Einstein Bots

Question 7

A customer service director wants to implement an AI-powered chat assistant that can answer common questions. To align with Salesforce's Trusted AI principle of Empathy, which THREE design choices should the director make?

Accepted Answer

Ensure the bot can detect user frustration and escalate to a human agent. Empathy means designing for human benefit, including user-centric design, fallback to humans, and considering emotional impact. Automating all responses and using a formal tone are less empathetic.

Answer

Automate 100% of interactions to provide instant responses

Answer

Design the bot to always provide a direct answer without asking clarifying questions

Question 8

A marketing team uses Einstein Send Time Optimization to determine the best time to send emails. To ensure the company follows Salesforce's Trusted AI principle of Honesty, which THREE practices should be adopted?

Accepted Answer

Tell recipients that the email timing was chosen by an AI algorithm. Honesty means being transparent about AI limitations and capabilities. Providing documentation, clearly communicating that predictions are AI-based, and explaining the influencing factors align with honesty. Automating without review and overpromising accuracy are contrary.

Answer

Automate all email sends without human intervention to maintain consistency

Answer

Claim the model is 100% accurate in predicting optimal send times

Question 9

A retail company uses Einstein Article Recommendations to suggest knowledge articles to customer service agents. To ensure compliance with the Salesforce Trusted AI principle of Safety, which THREE measures should the company implement?

Accepted Answer

Use grounding to connect the AI recommendations to the company's CRM data. Safety involves preventing harmful outputs. Human review, toxicity detection, and using grounding to ensure relevance all mitigate harmful recommendations. Hiding the model's confidence score reduces transparency, and logging without review does not prevent harm.

Answer

Log all recommendations without setting up any review process

Answer

Hide the model's confidence score from agents to avoid over-reliance

Question 10

In Salesforce Data Cloud, which AI capability is used to automatically generate audience segments based on customer behavior patterns?

Accepted Answer

Einstein AI (Data Cloud's machine learning capabilities). Einstein AI in Salesforce Data Cloud provides machine learning capabilities that automatically analyze customer behavior patterns, such as purchase history and engagement metrics, to generate predictive audience segments. This enables marketers to target specific groups without manual rule creation, leveraging Data Cloud's unified data model and Einstein's propensity scoring.

Answer

Prompt Builder

Answer

Einstein Discovery

Answer

Einstein GPT

Question 11

A company wants to use Einstein GPT to generate personalized sales emails for their sales team. They need to ensure that the generated emails adhere to brand voice guidelines. Which tool should they use to define the prompt template for email generation?

Accepted Answer

Prompt Builder. Prompt Builder is the correct tool because it allows users to create and manage prompt templates that define the structure, tone, and brand voice guidelines for generative AI outputs like sales emails. Unlike other Einstein tools, Prompt Builder is specifically designed to control the input and output of large language models (LLMs) within Salesforce, ensuring generated content adheres to predefined brand standards.

Answer

Einstein Copilot

Answer

Einstein Discovery

Answer

Einstein Recommendation Builder

Question 12

A company wants to use AI to analyze call recordings and automatically capture key topics, talk time, and next steps. Which Einstein feature should they implement?

Accepted Answer

Einstein Conversation Insights. Einstein Conversation Insights is the correct feature because it is specifically designed to analyze call recordings and automatically extract key topics, talk time, and next steps using natural language processing (NLP) and speech-to-text technology. It provides post-call summaries, identifies action items, and surfaces conversation trends without requiring manual note-taking or configuration.

Answer

Einstein Activity Capture

Answer

Einstein Bots

Answer

Einstein Email Insights

Question 13

Which Einstein feature creates automated statistical analyses and stories, including waterfall charts and improvement suggestions?

Accepted Answer

Einstein Discovery. Einstein Discovery is the correct answer because it is the Einstein feature specifically designed to automatically generate statistical analyses, narratives, and visualizations such as waterfall charts, along with actionable improvement suggestions. Unlike other Einstein tools that focus on predictions or scoring, Einstein Discovery uses machine learning to uncover patterns in data and produce plain-language explanations of the insights.

Answer

Einstein Prediction Builder

Answer

Einstein Forecasting

Answer

Einstein Lead Scoring

Question 14

A company wants to use Einstein Forecasting to compare AI-generated predictions against sales rep commitments. They have enabled the feature and entered their sales data. What must they do to view the AI forecast?

Accepted Answer

Turn on Einstein AI in the Forecasts settings. After enabling Einstein Forecasting and entering sales data, the user must turn on Einstein AI in the Forecasts settings to activate the AI-generated predictions. This setting allows the system to compare AI forecasts against sales rep commitments within the standard Forecasts component.

Answer

Run Einstein Discovery on opportunity data

Answer

Enable Einstein Activity Capture

Answer

Create a custom report type for forecasts

Question 15

An AI system used for medical diagnosis occasionally produces incorrect results. A doctor notices the errors but continues using the system without reporting them. Which ethical principle is primarily at risk?

Accepted Answer

Accountability. Accountability means humans must oversee AI decisions and report issues. Option B is wrong because transparency is about disclosure. Option C is wrong because fairness is about bias. Option D is wrong because privacy is about data protection.

Answer

Fairness

Answer

Transparency

Answer

Privacy