Question 74 of 500
Managing application performance monitoringeasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is the 95th percentile request latency measured by Cloud Load Balancing. This metric is the most direct indicator of user-perceived performance because it captures the end-to-end response time, including network overhead, backend processing, and any queuing delays at the load balancer itself, making it the first metric to check for slow response times on Compute Engine. On the Google Professional Cloud Developer exam, this question tests your ability to distinguish between infrastructure-level metrics, like CPU utilization, and user-facing metrics; a common trap is to immediately check instance CPU or memory, which may show normal values even when the application is bottlenecked by database calls or external API latency. The 95th percentile is specifically chosen because it filters out transient spikes, revealing the experience of the majority of users during peak hours. Memory tip: think “P95 LB” — the load balancer’s 95th percentile latency is your first stop for user-facing slowdowns.

PCD Managing application performance monitoring Practice Question

This PCD practice question tests your understanding of managing application performance monitoring. 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.

A web application hosted on Compute Engine is experiencing slow response times during peak hours. Which Cloud Monitoring metric should be examined first to identify the bottleneck?

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.

Question 1easymultiple 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

95th percentile request latency measured by Cloud Load Balancing

The 95th percentile request latency measured by Cloud Load Balancing is the most direct indicator of user-perceived performance degradation. High latency at the load balancer level captures the end-to-end response time, including network, backend processing, and queuing delays, making it the first metric to examine when diagnosing slow response times during peak hours.

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.

  • CPU utilization of backend instances

    Why it's wrong here

    CPU utilization may indicate resource contention but is not the primary metric for response time issues; it can be high due to inefficiencies, not necessarily the bottleneck.

  • Number of incoming requests per second

    Why it's wrong here

    Request count shows traffic volume but does not directly reflect performance; high traffic alone does not cause slowness if the system is well-provisioned.

  • Memory usage of backend instances

    Why it's wrong here

    Memory usage is important but less likely to be the first indicator of slow responses; it may cause swapping if exhausted, but latency is more immediate.

  • 95th percentile request latency measured by Cloud Load Balancing

    Why this is correct

    This metric directly measures user-facing response time, and a high latency indicates a performance issue that needs investigation.

    Clue confirmation

    The clue word "first" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the distinction between resource utilization metrics (CPU, memory) and performance metrics (latency), trapping candidates who assume high CPU or memory is always the root cause of slow response times, when in fact latency metrics provide the direct measure of user experience.

Trap categories for this question

  • Command / output trap

    Request count shows traffic volume but does not directly reflect performance; high traffic alone does not cause slowness if the system is well-provisioned.

Detailed technical explanation

How to think about this question

Cloud Load Balancing measures latency at the HTTP(S) proxy layer, recording the time from when the load balancer receives the request to when it sends the complete response back to the client. This includes backend processing time, network round trips, and any retries or connection establishment delays. In practice, examining the 95th percentile (p95) latency helps filter out transient spikes and reveals the experience of the slowest 5% of requests, which is critical for identifying tail latency issues during peak load.

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

An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.

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 PCD question test?

Managing application performance monitoring — This question tests Managing application performance monitoring — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: 95th percentile request latency measured by Cloud Load Balancing — The 95th percentile request latency measured by Cloud Load Balancing is the most direct indicator of user-perceived performance degradation. High latency at the load balancer level captures the end-to-end response time, including network, backend processing, and queuing delays, making it the first metric to examine when diagnosing slow response times during peak hours.

What should I do if I get this PCD 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.

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Last reviewed: Jun 25, 2026

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This PCD 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 PCD exam.