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AI Capabilities in CRMhardMultiple SelectObjective-mapped

AI Associate AI Capabilities in CRM Practice Question

Which TWO are best practices when implementing Einstein Bots? (Choose two.)

⚠ Common exam trap

Salesforce often tests the misconception that bots should handle everything immediately, but the best practice is to start small and iterate based on conversation logs to improve intent accuracy and coverage.

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

Start with high-volume, low-complexity conversations

Einstein Bots are designed to automate high-volume, low-complexity conversations first, such as password resets or order status inquiries. This approach allows the bot to handle the most frequent interactions efficiently, reducing agent workload and providing immediate ROI. Starting simple also enables easier intent training and faster deployment, aligning with best practices for conversational AI implementation.

Answer analysis

Option-by-option breakdown

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

  • Start with high-volume, low-complexity conversations

    Why this is correct

    Ensures easy wins and learning.

  • Use complex intents for initial setup

    Why it's wrong here

    Start simple.

  • Configure the bot to handle all customer conversations

    Why it's wrong here

    Some need human handoff.

  • Continuously improve intents based on conversation logs

    Why this is correct

    Iterative improvement is key.

  • Deploy the bot to all channels immediately without testing

    Why it's wrong here

    Should test first.

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Last reviewed: Jun 30, 2026

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