Question 184 of 500
Managing service incidentsmediumMultiple ChoiceObjective-mapped

PCDOE Managing service incidents Practice Question

This PCDOE practice question tests your understanding of managing service incidents. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

You are the SRE for a financial services application running on Google Cloud. Users report that certain transactions are taking over 10 seconds, while most complete in under 200ms. You use Cloud Profiler and Cloud Trace. Upon reviewing the profiler data, you see a hotspot in a method that calls a Cloud SQL database with a slow query. You identify the query and create an index to speed it up. However, you cannot deploy the index change immediately due to change management processes. The incident response team needs to mitigate the impact now. Which temporary measure should you take?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "immediately / without restart"

    Why it matters: Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.

Question 1mediummultiple choice
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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

Implement caching of query results using Cloud Memorystore.

Option C is correct because caching the results of the slow query in Cloud Memorystore (Redis) immediately reduces the load on the Cloud SQL database and eliminates the need to execute the slow query repeatedly. This provides a temporary performance improvement without requiring any database schema changes or deployments, bypassing the change management delay. The hotspot in the profiler indicates the query itself is the bottleneck, and caching avoids that bottleneck entirely for repeated reads.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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 database connection pool size in the application.

    Why it's wrong here

    More connections would not speed up the slow query; they might even increase database load.

  • Add a database read replica to offload read queries.

    Why it's wrong here

    Adding replicas takes time and the query may still be slow on the replica if not optimized.

  • Implement caching of query results using Cloud Memorystore.

    Why this is correct

    Caching reduces the need to run the slow query, providing immediate latency improvement.

    Clue confirmation

    The clue word "immediately / without restart" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Scale up the Cloud SQL instance to more vCPUs.

    Why it's wrong here

    Scaling up takes time and may not immediately resolve the issue; it's also a more permanent change.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Google Cloud often tests the distinction between temporary mitigation and permanent resolution, and the trap here is that candidates confuse scaling the database (Option D) or adding replicas (Option B) as quick fixes, when in reality those are infrastructure changes that require change management approval and cannot be deployed instantly.

Detailed technical explanation

How to think about this question

Cloud Memorystore for Redis provides sub-millisecond latency for cached data, which can be configured with a time-to-live (TTL) to ensure eventual consistency with the database. In this scenario, the application should implement a cache-aside pattern: check the cache first, and only fall back to the slow query on a cache miss, then populate the cache. This approach is particularly effective for read-heavy workloads where the same data is queried repeatedly, such as reference data or user session state.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PCDOE question test?

Managing service incidents — This question tests Managing service incidents — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Implement caching of query results using Cloud Memorystore. — Option C is correct because caching the results of the slow query in Cloud Memorystore (Redis) immediately reduces the load on the Cloud SQL database and eliminates the need to execute the slow query repeatedly. This provides a temporary performance improvement without requiring any database schema changes or deployments, bypassing the change management delay. The hotspot in the profiler indicates the query itself is the bottleneck, and caching avoids that bottleneck entirely for repeated reads.

What should I do if I get this PCDOE question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "immediately / without restart". Time or reboot constraint — the correct answer must take effect right away without requiring a reboot or reload.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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This PCDOE practice question is part of Courseiva's free Google Cloud 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 PCDOE exam.