CKAD Application Observability and Maintenance Practice Question
This CKAD practice question tests your understanding of application observability and maintenance. 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.
You are tasked with improving the observability of a microservices application running in Kubernetes. The application is deployed with multiple replicas and experiences occasional high latency. Which TWO actions should you take to gain better insight into the application's performance?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable Prometheus metrics endpoints on each pod and configure a Prometheus server to scrape them.
Option B is correct because Prometheus is the standard open-source monitoring and alerting toolkit in the Kubernetes ecosystem. By exposing metrics endpoints on each pod (typically at /metrics) and configuring a Prometheus server to scrape them, you can collect detailed performance data such as request latency, error rates, and resource utilization, which directly helps diagnose high-latency issues.
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 replica count for each deployment to reduce latency.
Why it's wrong here
Increasing replicas does not improve observability.
✓
Enable Prometheus metrics endpoints on each pod and configure a Prometheus server to scrape them.
Why this is correct
Prometheus metrics provide detailed performance data.
Related concept
Read the scenario before looking for a memorised answer.
✗
Configure readiness probes to ensure only healthy pods receive traffic.
Why it's wrong here
Readiness probes control traffic routing, not observability.
✗
Add liveness probes to all containers to detect when they are unresponsive.
Why it's wrong here
Liveness probes only detect dead containers, not performance issues.
✓
Implement distributed tracing using Jaeger to trace requests across services.
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
CNCF often tests the distinction between observability (monitoring, metrics, tracing) and reliability mechanisms (probes, scaling), so candidates mistakenly choose readiness or liveness probes as tools for performance insight instead of recognizing they only ensure basic health and traffic routing.
Detailed technical explanation
How to think about this question
Prometheus uses a pull-based model where the server scrapes metrics from HTTP endpoints, and the /metrics endpoint typically exposes data in a plain-text format following the OpenMetrics standard. Distributed tracing with Jaeger relies on context propagation via HTTP headers (e.g., 'uber-trace-id') to correlate spans across service boundaries, enabling end-to-end latency analysis. In a microservices environment, high latency often stems from a single slow service, and tracing pinpoints that service, while Prometheus metrics show aggregate trends and resource bottlenecks.
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 practitioner preparing for the CKAD exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this CKAD question in full detail.
Application Observability and Maintenance — This question tests Application Observability and Maintenance — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable Prometheus metrics endpoints on each pod and configure a Prometheus server to scrape them. — Option B is correct because Prometheus is the standard open-source monitoring and alerting toolkit in the Kubernetes ecosystem. By exposing metrics endpoints on each pod (typically at /metrics) and configuring a Prometheus server to scrape them, you can collect detailed performance data such as request latency, error rates, and resource utilization, which directly helps diagnose high-latency issues.
What should I do if I get this CKAD question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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