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Implement computer vision solutionseasyMultiple ChoiceObjective-mapped

AI-102 Implement computer vision solutions Practice Question

A company uses Azure Face API to verify employee identities for building access. They need to ensure that only live faces are used, not photos or videos. Which feature should they enable?

⚠ Common exam trap

Test-takers frequently confuse confidence thresholds or face attributes with liveness detection, not realizing that only session-based verification actively checks for spoofing through motion and depth analysis.

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

Enable liveness detection using session-based verification.

Azure Face API's liveness detection with session-based verification is specifically designed to prevent spoofing attacks using photos, videos, or masks. It analyzes subtle cues such as micro-movements, texture, and depth to confirm the presence of a live person, ensuring that only live faces are accepted for identity verification.

Answer analysis

Option-by-option breakdown

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

  • Set a high confidence threshold for face matching.

    Why it's wrong here

    Thresholds reduce false positives but do not prevent spoofing.

  • Face identification with a large person group.

    Why it's wrong here

    Identification does not detect liveness.

  • Enable liveness detection using session-based verification.

    Why this is correct

    Liveness detection checks for spoofing attacks.

  • Face detection with attributes such as age and emotion.

    Why it's wrong here

    Attributes do not verify liveness.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI-102 practice question is part of Courseiva's free Microsoft 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-102 exam.