How many Select Two (Multi-Select) Questions questions are on this page?

This page has 20 Select Two (Multi-Select) Questions scenario questions for the AI Associate exam, each with detailed explanations and wrong-answer analysis.

How should I approach AI Associate scenario questions?

Read the full scenario before looking at the answer options. Identify the constraint or requirement in the scenario, then eliminate options that are generally true but wrong for this specific case. Scenario questions reward careful reading over pattern matching.

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Select Two (Multi-Select) Questions

Practise Salesforce AI Associate AI Associate practice questions — original exam-style scenarios covering every exam domain, with detailed explanations, wrong-answer analysis, and common exam traps.

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Scenario guide

How to approach select two (multi-select) questions

Multi-select questions tell you to 'Choose TWO' or 'Choose THREE'. Getting partial credit is not a thing — you must select all correct answers with no incorrect ones. The stem always states how many to choose, so trust it. These questions require precision, not best-guess elimination.

Quick answer

Select Two (Multi-Select) Questions questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Practice scenarios

Question 1hardmulti select

Select Two (Multi-Select) Questions

How to approach select two (multi-select) questions

Quick answer

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Practice scenarios

An admin is configuring Einstein Lead Scoring. They want to ensure the lead score is visible in list views and reports. Which TWO settings or actions are required?

Which THREE capabilities are provided by Einstein GPT in Sales and Service?

A company wants to use Einstein Bots to handle customer inquiries. They need to train the bot to understand different customer intents. Which TWO components are essential for defining bot understanding?

An admin is configuring Einstein Prediction Builder to predict case escalation. Which TWO components must be selected during setup?

A sales manager wants to use Einstein Lead Scoring but is concerned about transparency for the sales team. Which TWO features should they enable to provide explainability? (Choose 2)

A data scientist is using Einstein Vision and Language Platform for text classification. They need to handle custom entities (NER) and classify text into multiple categories. Which THREE capabilities of the Einstein Platform Services API should they use?

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?

According to Salesforce's AI ethics principles, which three pillars should guide the development of AI applications?

A service organization wants to deploy an Einstein Bot to handle common support inquiries. They need to define the bot's conversational flow and train it to understand user requests. Which THREE components must be configured in the bot builder?

Which TWO practices are recommended when using AI for automated decision-making in hiring?

Which THREE factors should an AI Associate consider when evaluating a model for potential bias?

Which THREE are key dimensions of data quality that directly impact AI model performance?

A data analyst is troubleshooting Einstein Article Recommendations that are not showing up on the site. Which TWO checks should be performed first? (Choose 2)

Which TWO actions are best practices when implementing Einstein Prediction Service?

Which THREE of the following are Einstein features available for Sales Cloud? (Choose three.)

An admin wants to create a custom AI model to predict lead conversion using Einstein Prediction Builder. Which TWO items must they select when creating the model? (Choose two)

A company wants to use Einstein Relationship Intelligence to analyze email and calendar data for opportunity insights. Which two conditions must be met? (Select two answers.)

A company is training a customer service chatbot using historical conversation logs. Which TWO data preparation practices should be followed to ensure data quality?

Which THREE actions are recommended when preparing data for Einstein Next Best Action? (Choose 3)

Which TWO of the following are common dimensions of data quality that must be addressed for AI training?