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Event Driven IntegrationeasyMultiple ChoiceObjective-mapped

AI-200 Event Driven Integration Practice Question

An AI system uses Azure Service Bus queues for processing text-generation jobs. A specific job causes the worker function to crash repeatedly, leading to the message being redelivered continuously. Which Service Bus feature should you configure to capture these poison messages after a specific delivery count is reached?

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

Dead-letter queue (DLQ)

Service Bus provides a dead-letter queue (DLQ) to automatically isolate messages that fail processing repeatedly (poison messages) based on MaxDeliveryCount.

Answer analysis

Option-by-option breakdown

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

  • Duplicate detection

    Why it's wrong here

    Duplicate detection prevents the ingestion of identical messages sent multiple times within a time window.

  • Dead-letter queue (DLQ)

    Why this is correct

    The dead-letter queue stores messages that cannot be processed successfully, preventing infinite retry loops (poison messages).

  • Autoforwarding

    Why it's wrong here

    Autoforwarding moves messages from one queue to another under normal flow conditions, not specifically for failure handling.

  • Partitioning

    Why it's wrong here

    Partitioning distributes messages across multiple message brokers for scalability, not for isolating failed messages.

About these practice questions

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Microsoft exam blueprint

This AI-200 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-200 exam.