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AI Associate AI Capabilities in CRM Practice Question

A financial services company uses Salesforce Service Cloud with Einstein Bots to handle account balance inquiries. The bot currently uses a standard intent 'CheckBalance' which recognizes phrases like 'What is my balance?' and 'Show my account balance.' The company wants to expand the bot to also answer questions about recent transactions, such as 'What were my last five deposits?' and 'Show my recent withdrawals.' The system administrator has added a new intent called 'RecentTransactions' and mapped it to a new flow. However, during testing, the bot often misclassifies 'CheckBalance' requests as 'RecentTransactions' when the user mentions a specific amount or date. Which action should the administrator take to resolve this misclassification?

⚠ Common exam trap

Watch out — candidates often think lowering the confidence threshold or creating separate bots will fix misclassification, but the correct approach is to enrich the training data for the existing intents to improve the NLP model's accuracy.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Add sample utterances containing amounts and date ranges to the 'CheckBalance' intent to differentiate it.

Adding sample utterances that include amounts and date ranges to the 'CheckBalance' intent provides the Einstein Bot's natural language processing (NLP) model with more training data to distinguish between balance inquiries and transaction requests. This improves intent classification accuracy by reducing overlap in the phrases the bot recognizes, directly addressing the misclassification issue.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Add sample utterances containing amounts and date ranges to the 'CheckBalance' intent to differentiate it.

    Why this is correct

    Providing more training data for the existing intent helps the model distinguish between similar phrases.

  • Reduce the confidence threshold for both intents to allow more matches.

    Why it's wrong here

    Lowering the threshold increases false positives, worsening misclassification.

  • Disable the 'RecentTransactions' intent and handle transaction requests using a flow without intents.

    Why it's wrong here

    Disabling the intent removes the feature entirely, not fixing the root cause.

  • Create a new Einstein Bot specifically for transaction inquiries and route users there.

    Why it's wrong here

    Separate bots would not resolve misclassification and would fragment the user experience.

Visual reference

Client Recursive Resolver Root DNS (13 root servers) TLD DNS (.com, .org, …) Authoritative example.com query IP addr answer

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.