AI Associate Practice Test 30 — 15 Questions

Question 1

A nonprofit uses an AI system to allocate resources to communities in need. The system uses historical data which shows that certain neighborhoods have lower service usage. What ethical risk should be considered?

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

Accepted Answer

The system may perpetuate historical inequities. The AI system uses historical data that reflects lower service usage in certain neighborhoods. If that historical data is biased due to past inequities (e.g., redlining, underinvestment, or systemic discrimination), the model will learn and amplify those patterns, leading to unfair resource allocation that perpetuates historical disadvantages. This is a classic case of algorithmic bias where the training data encodes societal biases, and the model's predictions reinforce them.

Answer

The system may violate data minimization principles

Answer

The system cannot be held accountable for decisions

Answer

The system lacks explainability

Question 2

A financial institution uses an AI system to approve loan applications. The system denies loans to applicants from certain postal codes at a higher rate. The model includes 'postal code' as a feature. Which ethical consideration is most directly violated?

Accepted Answer

Fairness. The AI system's use of 'postal code' as a feature leads to disparate impact on applicants from certain areas, directly violating the ethical principle of fairness. Fairness requires that AI models do not discriminate against protected groups or perpetuate systemic biases, even if the feature itself is not a protected attribute. By denying loans at a higher rate based on postal code, the system is likely engaging in proxy discrimination, which is a core fairness violation.

Answer

Privacy

Answer

Accountability

Answer

Transparency

Question 3

A service team wants to use Einstein GPT to improve agent productivity. Which TWO Einstein GPT features are designed specifically for service scenarios?

Accepted Answer

Service GPT - Case Summaries. Service GPT - Case Summaries is correct because it automatically generates concise summaries of service cases, enabling agents to quickly understand the context without reading through lengthy case histories. This directly improves agent productivity by reducing handle time and accelerating case resolution.

Answer

Einstein Lead Scoring

Answer

Sales GPT - Email Generation

Answer

Einstein Opportunity Scoring

Question 4

A company wants to create a custom AI model that predicts whether a support case will be escalated based on historical case data. Which tool allows building this custom prediction without writing code?

Accepted Answer

Einstein Prediction Builder. Einstein Prediction Builder is the correct tool because it allows users to create custom predictive models—such as predicting case escalation—directly from Salesforce data using a point-and-click interface, without writing any code. It leverages historical case data to train a model that outputs a probability score for the target outcome, making it ideal for this no-code custom AI requirement.

Answer

Einstein Case Classification

Answer

Einstein Next Best Action

Answer

Einstein Discovery

Question 5

A company wants to use Einstein GPT to generate case summaries and knowledge article drafts. Which TWO Einstein GPT features are applicable?

Accepted Answer

Prompt Builder with Field Generation templates. Prompt Builder with Field Generation templates allows users to create structured prompts that pull data from Salesforce fields to generate case summaries and knowledge article drafts. This feature is specifically designed for content generation tasks like summarization and drafting, making it directly applicable to the use case.

Answer

Einstein Copilot

Answer

Sales GPT

Answer

Einstein Bots

Question 6

A company uses Einstein Forecasting to predict sales. What is a key difference between the AI forecast and the rep commit forecast?

Accepted Answer

AI forecast uses historical data and trends; rep commit is based on rep's manual entry. The AI forecast in Einstein Forecasting leverages historical data, trends, and machine learning models to generate predictions, while the rep commit forecast relies on manual entries made by sales representatives. This distinction is fundamental: AI forecasts are data-driven and automated, whereas rep commits are subjective and based on individual rep judgment.

Answer

AI forecast is always more accurate than rep commit

Answer

Rep commit is used for quota setting; AI forecast is not

Answer

AI forecast is only available in Enterprise Edition

Question 7

A marketing team wants to display personalized product recommendations on an Experience Cloud site. Which Einstein feature should they use?

Accepted Answer

Einstein Recommendation Builder. Einstein Recommendation Builder is the correct feature because it is specifically designed to deliver personalized product recommendations on Experience Cloud sites. It uses AI to analyze customer behavior and purchase history to suggest relevant products, directly meeting the marketing team's goal of displaying personalized product recommendations.

Answer

Einstein Next Best Action

Answer

Einstein Article Recommendations

Answer

Einstein Prediction Builder

Question 8

A company wants to create an autonomous AI agent that can handle complex customer service tasks like processing returns and updating orders without human intervention. Which Salesforce feature should they use?

Accepted Answer

Agentforce. Agentforce is the correct choice because it is designed to create autonomous AI agents that can handle complex, multi-step customer service tasks like processing returns and updating orders without human intervention. Unlike simpler chatbots, Agentforce uses advanced reasoning and action execution to complete end-to-end workflows independently.

Answer

Einstein Bots

Answer

Einstein Copilot

Answer

Einstein Next Best Action

Question 9

A nonprofit uses Einstein Vision to classify images of disaster areas. What is the primary benefit of using AI for this task?

Accepted Answer

It reduces manual effort and speeds up damage assessment.. Einstein Vision automates the classification of disaster images, significantly reducing the manual effort required for damage assessment. By processing large volumes of images rapidly, it accelerates the time to insight, enabling faster response and resource allocation. This aligns with the core benefit of AI: augmenting human effort with speed and scale.

Answer

It requires less training data than manual methods.

Answer

It eliminates all classification errors.

Answer

It can only classify images of specific disaster types.

Question 10

A sales manager wants to automatically prioritize leads based on their likelihood to convert. Which Einstein feature should the admin enable?

Accepted Answer

Einstein Lead Scoring. Einstein Lead Scoring uses historical data to predict lead conversion probability and assign scores, enabling prioritization.

Answer

Einstein Activity Capture

Answer

Einstein Prediction Builder

Answer

Einstein Bot

Question 11

A financial services firm wants to deploy an autonomous AI agent that can handle complex loan application processes, including verifying documents, checking credit scores, and requesting additional information. The agent must be able to take actions in Salesforce and escalate to a human when needed. Which Salesforce tool should they use?

Accepted Answer

Agentforce. Agentforce is the correct choice because it is Salesforce's platform for building autonomous AI agents that can execute complex, multi-step workflows across systems like Salesforce, including document verification, credit score checks, and data retrieval. It supports tool integration (e.g., Apex, MuleSoft) and built-in escalation to human agents, making it ideal for handling end-to-end loan application processes with minimal human intervention.

Answer

Einstein Next Best Action

Answer

Einstein Bots

Answer

Einstein Copilot

Question 12

Which THREE are requirements for enabling Einstein features in a Salesforce org?

Accepted Answer

An eligible Salesforce edition. Einstein features require an eligible Salesforce edition (e.g., Enterprise, Performance, or Unlimited) because the underlying AI infrastructure, including predictive models and data processing pipelines, is only available in these higher-tier editions. Without the correct edition, the necessary licenses and platform capabilities for Einstein are not provisioned.

Answer

Custom objects must be created

Answer

Activation of Einstein API in Setup

Question 13

An admin is configuring an Einstein Bot in Service Cloud. The bot needs to understand when a customer says 'I want to return a product' and route them to a return flow, but the bot is not recognizing phrases like 'return' or 'refund'. What should the admin do first?

Accepted Answer

Create a new intent named 'Return' and add training phrases like 'return item', 'refund'. Einstein Bots rely on Natural Language Understanding (NLU) to map user utterances to intents. By creating a new 'Return' intent and adding training phrases like 'return item' and 'refund', the admin provides the bot with the necessary examples to recognize and route these customer requests to the appropriate return flow.

Answer

Use Einstein Case Classification to classify the case

Answer

Disable the bot and use a flow instead

Answer

Add a handoff to human agent for all unrecognized phrases

Question 14

During an AI ethics review, a stakeholder asks how Salesforce ensures that Einstein models do not discriminate based on protected attributes. Which mechanism addresses this concern?

Accepted Answer

Use the bias detection and fairness reporting built into Einstein Prediction Builder. Salesforce Einstein Prediction Builder includes built-in bias detection and fairness reporting that automatically checks models for discrimination based on protected attributes. This feature analyzes model predictions against demographic groups and generates fairness metrics, allowing stakeholders to identify and mitigate bias directly within the platform.

Answer

Remove all protected attribute fields from the training dataset

Answer

Rely on model accuracy metrics to ensure equal treatment

Answer

Allow admins to manually override model predictions for certain groups

Question 15

Which Einstein feature uses AI to automatically log user emails and events to Salesforce records without manual effort?

Accepted Answer

Einstein Activity Capture. Einstein Activity Capture (D) is the correct answer because it is the specific Einstein feature that automatically logs user emails and events to Salesforce records without manual effort. It uses AI to analyze email and calendar data from connected systems (like Gmail or Outlook) and automatically associates them with the relevant Salesforce records, eliminating the need for manual logging.

Answer

Einstein Conversation Insights

Answer

Einstein Email Insights

Answer

Einstein Lead Scoring