AI Associate Salesforce Einstein AI Features Practice Test 3 — 15 Questions

Question 1

A Salesforce admin wants to create a custom predictive model that predicts whether a support case will be escalated based on historical case data. The admin has identified the prediction field as 'Escalated__c' (checkbox). Which Einstein AI feature should they use to build this model without writing code?

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

Accepted Answer

Einstein Prediction Builder. Einstein Prediction Builder is the correct choice because it allows admins to create custom predictive models using point-and-click tools, without writing code. The admin needs to predict a binary outcome (whether a case will be escalated) based on historical data, and Prediction Builder is specifically designed for this use case: it lets you select a standard or custom object (like Case), choose a checkbox field (Escalated__c) as the prediction field, and automatically trains a model using the platform's AI engine.

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Einstein Discovery

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Einstein Case Classification

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Einstein Next Best Action

Question 2

A retail company wants to recommend products to website visitors based on their browsing behavior and purchase history stored in Experience Cloud. Which Einstein feature should they implement?

Accepted Answer

Einstein Recommendation Builder. Einstein Recommendation Builder is the correct feature because it is specifically designed to analyze browsing behavior and purchase history stored in Experience Cloud to generate personalized product recommendations. It uses collaborative filtering and deep learning models to surface relevant items, directly addressing the retail use case of recommending products to website visitors.

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Einstein Prediction Builder

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Einstein Lead Scoring

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Einstein Next Best Action

Question 3

A company is using Einstein Discovery to analyze sales data and improve win rates. Which THREE outputs does Einstein Discovery provide?

Accepted Answer

Improvement suggestions to increase the target metric. Einstein Discovery provides actionable improvement suggestions that directly target the metric being analyzed, such as win rate. These suggestions are derived from the model's analysis of historical data and are designed to help users take specific actions to improve outcomes.

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Automated A/B test designs

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Hypothesis testing results for statistical significance

Question 4

An apparel retailer wants to use Einstein Recommendation Builder to show product recommendations on their Experience Cloud site. Which TWO statements are true about this feature?

Accepted Answer

It uses a collaborative filtering algorithm based on user behavior.. Einstein Recommendation Builder uses collaborative filtering, which analyzes patterns of user behavior (such as purchases, views, and clicks) to recommend items that similar users have interacted with. This algorithm does not rely on predefined rules or item metadata, making it behavior-driven and adaptive.

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It can only recommend items from the same category.

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It requires a separate Einstein license for each site visitor.

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It requires manual curation of recommendation rules.

Question 5

Which TWO use cases can be achieved using Einstein GPT for Sales (Sales GPT)?

Accepted Answer

Generating personalized sales emails. Einstein GPT for Sales (Sales GPT) is specifically designed to assist sales representatives by generating personalized sales emails and summarizing sales calls. Option A is correct because Sales GPT can analyze CRM data and customer context to draft tailored email content, improving engagement. Option B is correct because it can automatically generate concise call summaries from recorded sales conversations, saving reps time and ensuring accurate follow-up.

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Generating knowledge article drafts

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Summarizing customer support cases

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Automatically classifying incoming cases by type

Question 6

A support agent needs to quickly summarize a long case history and draft a knowledge article from the case. Which TWO Einstein GPT features can help?

Accepted Answer

Service GPT – Knowledge Article Draft. Service GPT includes a 'Knowledge Article Draft' feature that can automatically generate a draft knowledge article from a case, helping the agent quickly create documentation. Option C is correct because Service GPT also provides a 'Case Summary' feature that condenses a long case history into a concise summary, saving the agent time.

Answer

Einstein Copilot – Field Generation

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Sales GPT – Call Summaries

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Einstein Recommendation Builder

Question 7

An administrator wants to automatically log emails from a specific domain to Salesforce using Einstein Activity Capture. Which TWO settings must be configured?

Accepted Answer

Add the domain to the excluded addresses list. In Einstein Activity Capture, the 'Excluded Email Addresses' list is used to specify which email addresses or domains should be automatically logged. To capture emails from a specific domain, you must add that domain to this list; otherwise, those emails will not be captured by Einstein Activity Capture. Option E is also correct because Einstein Activity Capture must be enabled for the org to use this feature.

Answer

Configure email-to-Salesforce address

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Create a flow to process emails

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Set up Einstein Bots API

Question 8

A developer wants to use the Einstein Vision and Language Platform to classify customer feedback text into categories. Which THREE capabilities of the platform can be used for this task?

Accepted Answer

Einstein Bots API. The Einstein Vision and Language Platform provides several capabilities for text classification tasks. Einstein Bots API includes intent classification, which categorizes user input into predefined intents. Text classification directly assigns categories to unstructured text. Named Entity Recognition (NER) extracts entities that can be mapped to categories. All three can be used to classify customer feedback text into categories.

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Object detection

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Image classification

Question 9

A sales operations manager wants to use Einstein Lead Scoring to prioritize leads. Where can the lead score be viewed in Salesforce?

Accepted Answer

As a field on the lead record and in list views. Einstein Lead Scoring surfaces the lead score as a field on the lead object, making it available in list views, reports, and the record page.

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Only in Einstein Analytics dashboards

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Only in the Einstein Lead Scoring setup page

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In the Einstein Lead Scoring mobile app only

Question 10

A service manager wants to automatically categorize incoming cases based on their description. Which Einstein feature should be used?

Accepted Answer

Einstein Case Classification. Einstein Case Classification uses NLP to automatically populate case fields such as Type, Priority, and Reason from the case description.

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Einstein Reply Recommendations

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Einstein Vision

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Einstein Article Recommendations

Question 11

A company uses Einstein Discovery to analyze sales data and wants to share the findings with business stakeholders who are not Salesforce users. What is the recommended way to share the story?

Accepted Answer

Download the story as a PDF and email it. Einstein Discovery supports PDF export of stories, making it easy to share insights with external stakeholders.

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Create a public Salesforce site to display the story

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Grant the stakeholders a Salesforce login and viewer permission

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Embed the story in a Chatter post

Question 12

A Salesforce admin needs to create a prompt template that generates a follow-up email after a meeting. Which Prompt Builder template type should be used?

Accepted Answer

Sales Email. The Sales Email template type in Prompt Builder is specifically designed for generating sales-related communications, such as follow-up emails after meetings. It includes pre-built fields and context (e.g., meeting notes, contact details) optimized for sales workflows, making it the correct choice for this use case.

Answer

Service Reply

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Field Generation

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Flex Prompt

Question 13

A sales rep wants to automatically log emails and events to Salesforce without manual entry. Which feature should the admin enable?

Accepted Answer

Einstein Activity Capture. Einstein Activity Capture syncs emails and calendar events from Outlook or Gmail into Salesforce automatically.

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Einstein Conversation Insights

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Einstein Email Insights

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Einstein Activity Capture is not available; use the standard Email-to-Salesforce

Question 14

An admin is setting up Einstein Prediction Builder to predict whether a lead will convert. The admin has selected the prediction field and data set. What is the next step in the configuration wizard?

Accepted Answer

Select features (input fields) to train the model. The Einstein Prediction Builder wizard proceeds: select prediction field, select data set, select features, define prediction field, then train.

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Train the model immediately

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Define the prediction explanation

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Choose the prediction score field

Question 15

Which Einstein feature provides AI-powered predictions for opportunity win likelihood?

Accepted Answer

Einstein Opportunity Scoring. Einstein Opportunity Scoring is a dedicated feature that predicts opportunity win probability on a scale of 1-99.

Answer

Einstein Forecasting

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Einstein Lead Scoring

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Einstein Prediction Builder