AI Associate Salesforce Einstein AI Features Practice Test 11 — 15 Questions

Question 1

A sales manager wants to automatically log emails from a specific customer domain to Salesforce, but exclude internal company emails and spam. Which feature should they configure?

Accepted Answer

Einstein Activity Capture. Einstein Activity Capture is the correct feature because it automatically logs emails and events from supported email clients (like Gmail and Outlook) into Salesforce, with configurable rules to include or exclude specific domains. This allows the sales manager to set a rule to log emails from the customer domain while excluding internal company emails and spam, without requiring manual user action or complex automation.

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Einstein Email Insights

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Einstein Lead Scoring

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Einstein Conversation Insights

Question 2

Which Einstein feature provides automated statistical analysis of Salesforce data, generates natural language stories, and suggests improvement actions?

Accepted Answer

Einstein Discovery. Einstein Discovery is the AI analytics tool that performs automated analysis, creates stories, and offers prescriptions.

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Einstein Forecast

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Einstein Prediction Builder

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Einstein Next Best Action

Question 3

A service team needs an AI bot that can handle complex customer issues requiring integration with external systems and escalate to a human agent when confidence is low. Which Einstein feature should be used?

Accepted Answer

Einstein Bots. Option C is correct because Einstein Bots are designed to handle complex, multi-turn customer issues by integrating with external systems via Apex actions or REST APIs, and they include a built-in confidence threshold that triggers escalation to a human agent when the bot's confidence in resolving the query drops below a configurable level. This directly matches the requirement for handling complex issues with external system integration and low-confidence escalation.

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Agentforce

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Einstein Case Classification

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Einstein GPT (Service GPT)

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. The target field is a checkbox (Escalated__c). Which Einstein feature should they use?

Accepted Answer

Einstein Prediction Builder. Einstein Prediction Builder is the correct choice because it allows users to create custom binary classification models using point-and-click tools, directly on standard or custom objects like the Case object. The target field is a checkbox (Escalated__c), which is a binary outcome, and Prediction Builder is specifically designed to predict such binary fields from historical data without requiring code or data science expertise.

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Einstein Discovery

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Einstein Next Best Action

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Einstein Case Classification

Question 5

A sales rep wants to see which of their leads are most likely to convert, ranked from 1 to 99, directly in the lead list view. Which feature provides this capability?

Accepted Answer

Einstein Lead Scoring. Einstein Lead Scoring is the correct feature because it automatically assigns a score from 1 to 99 to each lead based on historical conversion patterns, directly in the lead list view. This allows the sales rep to rank leads by likelihood to convert without manual calculation or custom development.

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Einstein Opportunity Scoring

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Einstein Activity Capture

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Einstein Prediction Builder

Question 6

Which Einstein feature uses generative AI to help sales reps compose personalized emails directly in Salesforce?

Accepted Answer

Sales GPT. Sales GPT includes email generation capabilities for sales reps.

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Einstein Copilot

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Einstein Service GPT

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Einstein Bots

Question 7

A company wants to automatically categorize incoming support cases into Type, Priority, and Reason fields. They have historical data with these fields populated. Which Einstein feature should they use?

Accepted Answer

Einstein Case Classification. Einstein Case Classification is the correct feature because it is specifically designed to automatically categorize incoming support cases into fields like Type, Priority, and Reason using historical data. It uses machine learning models trained on past case records to predict the most likely values for these fields, enabling automated routing and prioritization without manual rules.

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Einstein Prediction Builder

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Einstein Article Recommendations

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Einstein Next Best Action

Question 8

A Salesforce admin wants to create a prompt template that generates a custom field value for a record based on other field values. Which Prompt Builder template type should they use?

Accepted Answer

Field Generation. Field Generation is the correct Prompt Builder template type because it is specifically designed to automatically populate a custom field on a record by generating a value based on other field values within the same record. This template uses a Large Language Model (LLM) to analyze the provided field data and produce a deterministic output that is written directly to the field, fulfilling the admin's requirement.

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Flex Prompt

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Case Summary

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Sales Email

Question 9

Which Einstein feature analyzes call recordings to identify keywords, talk-time metrics, and suggested next steps?

Accepted Answer

Einstein Conversation Insights. Einstein Conversation Insights is the correct feature because it is specifically designed to analyze call recordings and transcripts using natural language processing (NLP) to extract keywords, measure talk-time metrics (e.g., speaker ratio, silence duration), and generate suggested next steps. It integrates with telephony systems to process audio data and provide actionable insights directly within Salesforce, unlike other Einstein features that focus on different data sources or tasks.

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Einstein Discovery

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Einstein Activity Capture

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Einstein Email Insights

Question 10

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.

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Einstein Next Best Action

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Einstein Article Recommendations

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Einstein Prediction Builder

Question 11

A company wants to use AI to automatically analyze and classify images uploaded to Salesforce records, such as identifying product defects. Which Einstein feature should they use?

Accepted Answer

Einstein Vision. Einstein Vision is the correct feature because it is specifically designed for image recognition and classification tasks, such as analyzing uploaded images to identify product defects. It uses deep learning models to detect objects, classify images, and extract text from images, making it ideal for visual inspection use cases within Salesforce.

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Einstein Prediction Builder

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Einstein Next Best Action

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Einstein Language

Question 12

An admin wants to compare the AI-generated forecast with a rep's commit forecast to identify gaps. Which feature should they use?

Accepted Answer

Einstein Forecasting. Einstein Forecasting is the correct feature because it directly compares AI-generated forecasts with a rep's commit forecast to identify gaps. It uses historical data and predictive models to generate a baseline forecast, which can be overlaid with the rep's manual commit to highlight discrepancies for coaching and adjustment.

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Einstein Prediction Builder

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Einstein Discovery

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Einstein Opportunity Scoring

Question 13

A service manager wants to use AI to automatically suggest knowledge articles to agents during case handling. Which TWO Einstein features can fulfill this requirement?

Accepted Answer

Einstein Article Recommendations. Option B is correct because Einstein Article Recommendations uses AI to automatically suggest relevant knowledge articles to agents during case handling, based on the case context and historical data. This feature is specifically designed to improve agent efficiency by surfacing the most helpful articles without manual search.

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Einstein Discovery

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Einstein Case Classification

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Einstein Bots

Question 14

A company wants to build an autonomous AI agent in Salesforce that can handle customer returns, refunds, and exchanges without human intervention. Which THREE components are required to build this agent using Agentforce?

Accepted Answer

Topics and Actions. To build an autonomous AI agent in Salesforce that handles customer returns, refunds, and exchanges without human intervention, you need Topics and Actions to define the specific business processes (e.g., 'Process Return') and the corresponding API calls or flows, Agent Builder to configure the agent's behavior and link it to those topics, and Testing in Agent Builder to validate the agent's responses and ensure it operates correctly before deployment.

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Prompt Builder

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Einstein Copilot

Question 15

A company wants to use Einstein GPT to generate draft replies for service agents. Which TWO Einstein GPT features can accomplish this?

Accepted Answer

Service GPT – Reply Recommendations. Service GPT includes reply recommendations and case summary generation. Sales GPT is for sales. Einstein Copilot can assist but is not specifically for reply drafts. Einstein Bots are for chat automation.

Answer

Einstein Copilot

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Sales GPT – Email Generation

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Einstein Bots