Buy Latest Jan 23, 2026 PCA Exam Q&A PDF – One Year Free Update [Q19-Q37]

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Buy Latest Jan 23, 2026 PCA Exam Q&A PDF – One Year Free Update

Download the Latest PCA Dump – 2026 PCA Exam Questions

Q19. Which Prometheus component handles service discovery?

Alertmanager

Prometheus Server

Pushgateway

Node Exporter

Q20. Which of the following is a valid metric name?

go routines

go.goroutines

go_goroutines

99_goroutines

Q21. What does the rate() function in PromQL return?

The total increase of a counter over a range.

The per-second rate of increase of a counter metric.

The average of all values in a vector.

The number of samples in a range vector.

Q22. When can you use the Grafana Heatmap panel?

You can use it to graph a counter metric.

You can use it to graph a histogram metric.

You can use it to graph an info metric.

You can use it to graph a gauge metric.

Q23. Which of the following is an invalid @ modifier expression?

go_goroutines @ start()

sum(http_requests_total{method=”GET”}) @ 1609746000

go_goroutines @ end()

sum(http_requests_total{method=”GET”} @ 1609746000)

Q24. What is the role of the Pushgateway in Prometheus?

To scrape short-lived targets directly.

To receive metrics pushed by short-lived batch jobs for later scraping by Prometheus.

To store metrics long-term for historical analysis.

To visualize metrics in Grafana.

Q25. What Prometheus component would you use if targets are running behind a Firewall/NAT?

Pull Proxy

Pull Gateway

HA Proxy

PushProx

Q26. How can you select all the up metrics whose instance label matches the regex fe-.*?

up{instance=regexp(fe-.*)}

up{instance=”fe-.*”}

up{instance~”fe-.*”}

up{instance=~”fe-.*”}

Q27. Where does Prometheus store its time series data by default?

In-memory only.

In an embedded TSDB on local disk.

In an external database such as InfluxDB.

In etcd.

Q28. What is metamonitoring?

Metamonitoring is a monitoring that covers 100% of a service.

Metamonitoring is the monitoring of non-IT systems.

Metamonitoring is the monitoring of the monitoring infrastructure.

Metamonitoring is monitoring social networks for end user complaints about quality of service.

Q29. The following is a list of metrics exposed by an application:
http_requests_total{code=”500″} 10
http_requests_total{code=”200″} 20
http_requests_total{code=”400″} 30
http_requests_total{verb=”POST”} 30
http_requests_total{verb=”GET”} 30
What is the issue with the metric family?

Metric names are missing a prefix to indicate which application is exposing the query.

The value represents two different things across the dimensions: code and verb.

Q30. Which field in alerting rules files indicates the time an alert needs to go from pending to firing state?

duration

interval

timeout

for

Q31. How many metric types does Prometheus text format support?

Q32. Which function would you use to calculate the 95th percentile latency from histogram data?

quantile_over_time(0.95, http_request_duration_seconds[5m])

histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket[5m])) by (le))

percentile(http_request_duration_seconds, 0.95)

topk(0.95, http_request_duration_seconds)

Q33. What is api_http_requests_total in the following metric?
api_http_requests_total{method=”POST”, handler=”/messages”}

“api_http_requests_total” is a metric label name.

“api_http_requests_total” is a metric type.

“api_http_requests_total” is a metric name.

“api_http_requests_total” is a metric field.

Q34. Which of the following PromQL queries is invalid?

max by (instance) up

max on (instance) (up)

max without (instance) up

max without (instance, job) up

Q35. What function calculates the tp-quantile from a histogram?

histogram_quantile()

histogram()

predict_linear()

avg_over_time()

Q36. What is considered the best practice when working with alerting notifications?

Minor alerts are as important as major alerts and should be treated with equal care.

Have as few alerts as possible by alerting only when symptoms might become externally visible.

Have as many alerts as possible to catch minor problems before they become outages.

Make sure to generate alerts on every metric of every component of the stack.

Q37. How would you name a metric that tracks HTTP request duration?

request_duration_seconds

http.request_latency

http_request_duration

http_request_duration_seconds

Linux Foundation PCA Exam Syllabus Topics:

Topic	Details
Topic 1	Instrumentation and Exporters: This domain evaluates the abilities of Software Engineers and addresses the methods for integrating Prometheus into applications. It includes the use of client libraries, the process of instrumenting code, and the proper structuring and naming of metrics. The section also introduces exporters that allow Prometheus to collect metrics from various systems, ensuring efficient and standardized monitoring implementation.
Topic 2	PromQL: This section of the exam measures the skills of Monitoring Specialists and focuses on Prometheus Query Language (PromQL) concepts. It covers data selection, calculating rates and derivatives, and performing aggregations across time and dimensions. Candidates also study the use of binary operators, histograms, and timestamp metrics to analyze monitoring data effectively, ensuring accurate interpretation of system performance and trends.
Topic 3	Alerting and Dashboarding: This section of the exam assesses the competencies of Cloud Operations Engineers and focuses on monitoring visualization and alert management. It covers dashboarding basics, alerting rules configuration, and the use of Alertmanager to handle notifications. Candidates also learn the core principles of when, what, and why to trigger alerts, ensuring they can create reliable monitoring dashboards and proactive alerting systems to maintain system stability.
Topic 4	Prometheus Fundamentals: This domain evaluates the knowledge of DevOps Engineers and emphasizes the core architecture and components of Prometheus. It includes topics such as configuration and scraping techniques, limitations of the Prometheus system, data models and labels, and the exposition format used for data collection. The section ensures a solid grasp of how Prometheus functions as a monitoring and alerting toolkit within distributed environments.
Topic 5	Observability Concepts: This section of the exam measures the skills of Site Reliability Engineers and covers the essential principles of observability used in modern systems. It focuses on understanding metrics, logs, and tracing mechanisms such as spans, as well as the difference between push and pull data collection methods. Candidates also learn about service discovery processes and the fundamentals of defining and maintaining SLOs, SLAs, and SLIs to monitor performance and reliability.

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Buy Latest Jan 23, 2026 PCA Exam Q&A PDF – One Year Free Update [Q19-Q37]

Linux Foundation PCA Exam Syllabus Topics:

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