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.
Which TWO of the following are valid ways to expose application metrics from a Pod in Kubernetes?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Expose a /metrics HTTP endpoint and configure Prometheus to scrape it.
Option D is correct because exposing a /metrics HTTP endpoint is the standard pattern for Prometheus-based monitoring. Prometheus uses a pull model, where it periodically scrapes metrics from the /metrics endpoint exposed by the application container. This approach is widely adopted in Kubernetes for application observability.
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.
✗
Write metrics to stdout and parse them with a log aggregator.
Why it's wrong here
Log aggregators handle logs, not metrics (though some can, it's not standard).
✗
Use kubectl top to collect metrics and expose them via a Service.
Why it's wrong here
kubectl top is a client tool, not a server endpoint.
✗
Create a ServiceMonitor custom resource to push metrics to Prometheus.
Why it's wrong here
ServiceMonitor tells Prometheus what to scrape, it does not expose metrics.
✓
Expose a /metrics HTTP endpoint and configure Prometheus to scrape it.
Why this is correct
Standard Prometheus metrics exposure.
Related concept
Read the scenario before looking for a memorised answer.
✓
Use the Kubernetes custom metrics API to expose application-specific metrics.
Why this is correct
Custom metrics API allows HPA to use application metrics.
Related concept
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 push-based and pull-based monitoring models, and the trap here is that candidates may think ServiceMonitor pushes metrics, when in fact it only configures Prometheus to pull from a target.
Detailed technical explanation
How to think about this question
Prometheus uses a pull-based model where it scrapes metrics from HTTP endpoints, typically at /metrics, in a format known as the Prometheus exposition format (plaintext with HELP and TYPE lines). The Kubernetes custom metrics API (option E) allows exposing application-specific metrics via an API server extension, enabling Horizontal Pod Autoscalers to scale based on those metrics. In real-world scenarios, combining both approaches is common: Prometheus scrapes /metrics for monitoring, while the custom metrics API feeds autoscaling decisions.
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 small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
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: Expose a /metrics HTTP endpoint and configure Prometheus to scrape it. — Option D is correct because exposing a /metrics HTTP endpoint is the standard pattern for Prometheus-based monitoring. Prometheus uses a pull model, where it periodically scrapes metrics from the /metrics endpoint exposed by the application container. This approach is widely adopted in Kubernetes for application observability.
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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