- A
Increase the number of replicas of the orders service.
More replicas mean more connection pools, increasing total connections and reducing load per pod.
- B
Add more database instances.
Why wrong: Adding database instances takes time and may not be immediately effective.
- C
Enable connection pooling at the database side.
Why wrong: Database-side pooling doesn't help if app-side pools are exhausted; also a longer-term change.
- D
Temporarily reduce the maximum connection pool size.
Why wrong: Reducing pool size would worsen exhaustion and increase blocking.
PCDOE Managing service incidents Practice Question
This PCDOE practice question tests your understanding of managing service incidents. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
Your company runs an e-commerce application on Google Kubernetes Engine (GKE) with a microservice architecture. During a Black Friday sale, the orders service experiences a sudden increase in latency and errors. You notice that the database connection pool in the orders service is exhausted, leading to timeouts. The service is written in Java and uses HikariCP connection pool. You need to mitigate the incident quickly. Which action should you take first?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
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
Increase the number of replicas of the orders service.
Increasing the number of replicas of the orders service is the fastest way to mitigate the incident because it horizontally scales the application tier, distributing incoming requests across more pods. This reduces the load per pod, which in turn reduces the number of concurrent database connections each pod attempts to acquire from its HikariCP pool, alleviating pool exhaustion and timeouts without requiring a database or code change.
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 number of replicas of the orders service.
Why this is correct
More replicas mean more connection pools, increasing total connections and reducing load per pod.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Add more database instances.
Why it's wrong here
Adding database instances takes time and may not be immediately effective.
- ✗
Enable connection pooling at the database side.
Why it's wrong here
Database-side pooling doesn't help if app-side pools are exhausted; also a longer-term change.
- ✗
Temporarily reduce the maximum connection pool size.
Why it's wrong here
Reducing pool size would worsen exhaustion and increase blocking.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that database connection pool exhaustion is always a database-side problem, leading candidates to choose database scaling or connection pooling changes instead of recognizing that the immediate fix is to scale the application tier.
Detailed technical explanation
How to think about this question
HikariCP uses a fixed-size pool (default 10 connections per pool) and blocks threads when all connections are in use, leading to thread starvation and cascading timeouts. In Kubernetes, horizontal pod autoscaling (HPA) based on CPU or custom metrics can automatically adjust replica counts, but during an incident manual scaling is faster. The database connection pool exhaustion is a symptom of insufficient application capacity, not database throughput, so scaling the service replicas distributes the connection load across more pools, each with its own independent HikariCP pool.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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.
- →
Managing service incidents — study guide chapter
Learn the concepts, then practise the questions
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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: Increase the number of replicas of the orders service. — Increasing the number of replicas of the orders service is the fastest way to mitigate the incident because it horizontally scales the application tier, distributing incoming requests across more pods. This reduces the load per pod, which in turn reduces the number of concurrent database connections each pod attempts to acquire from its HikariCP pool, alleviating pool exhaustion and timeouts without requiring a database or code change.
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: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 30, 2026
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.
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