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Monitor and Optimize an Analytics SolutionmediumMultiple ChoiceObjective-mapped

DP-700 Monitor and Optimize an Analytics Solution Practice Question

Exhibit

Error: Capacity limit exceeded. Request rejected. Status: 429

Refer to the exhibit. You are reviewing pipeline logs and notice the 429 error. What is the most appropriate long-term action to prevent this?

⚠ Common exam trap

Candidates frequently select immediate capacity SKU upgrades as the primary answer, missing the prompt's focus on long-term prevention through code and query optimization.

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

Analyze query patterns and optimize resource-heavy jobs

A 429 error indicates that the request was throttled because the capacity reached its compute limit. While immediate scaling might fix the current issue, long-term stability requires identifying the root cause of the spike in resource usage. Optimizing the code, adjusting concurrency, or smoothing out scheduled job times ensures the capacity operates within its allocated limits without requiring constant upgrades.

Answer analysis

Option-by-option breakdown

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

  • Increase the Fabric capacity SKU immediately

    Why it's wrong here

    While upgrading the SKU provides more headroom, it is a costly reactive measure. Without first optimizing the underlying data processes that are causing the capacity spikes, the new capacity may eventually face the same throttling issues as the workloads continue to scale ineffectively.

  • Configure retry policies with exponential backoff

    Why it's wrong here

    Implementing exponential backoff is a best practice for handling transient errors and throttling in distributed systems. However, this is a mitigation technique that handles the symptom rather than solving the underlying resource contention caused by poorly performing or overlapping data jobs.

  • Analyze query patterns and optimize resource-heavy jobs

    Why this is correct

    Optimizing resource-intensive jobs is the most sustainable way to resolve 429 errors. By improving query efficiency, reducing data volume, or staggering pipeline executions, you ensure that the current capacity can handle the workload without hitting the hard compute limits defined by the service.

  • Disable monitoring to reduce overhead

    Why it's wrong here

    Disabling monitoring is never an appropriate solution, as it eliminates visibility into system health. Without logs and metrics, you would have no way of knowing when your pipelines are failing, and you would be unable to perform the necessary troubleshooting to resolve performance degradation.

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Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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

This DP-700 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 DP-700 exam.