Share Latest Dec-2025 PCA DUMP with 62 Questions and Answers [Q23-Q45]

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Share Latest Dec-2025 PCA DUMP with 62 Questions and Answers

PDF Dumps 2025 Exam Questions with Practice Test

QUESTION 23
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.

QUESTION 24
If the vector selector foo[5m] contains 1 1 NaN, what would max_over_time(foo[5m]) return?

It errors out.

NaN

No answer.

QUESTION 25
Which kind of metrics are associated with the function deriv()?

Counters

Gauges

Summaries

Histograms

QUESTION 26
Which Alertmanager feature allows you to temporarily stop notifications for a specific alert?

Silence

Inhibition

Deduplication

Grouping

QUESTION 27
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.

QUESTION 28
What is the difference between client libraries and exporters?

Exporters are written in Go. Client libraries are written in many languages.

Exporters expose metrics for scraping. Client libraries push metrics via Remote Write.

Exporters run next to the services to monitor, and use client libraries internally.

Exporters and client libraries mean the same thing.

QUESTION 29
Which PromQL expression computes how many requests in total are currently in-flight for the following time series data?
apiserver_current_inflight_requests{instance=”1″} 5
apiserver_current_inflight_requests{instance=”2″} 7

min(apiserver_current_inflight_requests)

sum(apiserver_current_inflight_requests)

max(apiserver_current_inflight_requests)

sum_over_time(apiserver_current_inflight_requests[10m])

QUESTION 30
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.

QUESTION 31
Given the following Histogram metric data, how many requests took less than or equal to 0.1 seconds?
apiserver_request_duration_seconds_bucket{job=”kube-apiserver”, le=”+Inf”} 3 apiserver_request_duration_seconds_bucket{job=”kube-apiserver”, le=”0.05″} 0 apiserver_request_duration_seconds_bucket{job=”kube-apiserver”, le=”0.1″} 1 apiserver_request_duration_seconds_bucket{job=”kube-apiserver”, le=”1″} 3 apiserver_request_duration_seconds_count{job=”kube-apiserver”} 3 apiserver_request_duration_seconds_sum{job=”kube-apiserver”} 0.554003785

0.554003785

QUESTION 32
With the following metrics over the last 5 minutes:
up{instance=”localhost”} 1 1 1 1 1
up{instance=”server1″} 1 0 0 0 0
What does the following query return:
min_over_time(up[5m])

{instance=”localhost”} 1 {instance=”server1″} 0

{instance=”server1″} 0

QUESTION 33
Which field in alerting rules files indicates the time an alert needs to go from pending to firing state?

duration

interval

timeout

for

QUESTION 34
What is a rule group?

It is a set of rules that are executed sequentially.

It is the set (the group) of all the rules in a file.

It is a set of rules, split into groups by type.

It is a set of rules that are grouped by labels.

QUESTION 35
What does the evaluation_interval parameter in the Prometheus configuration control?

How often Prometheus scrapes targets.

How often Prometheus evaluates recording and alerting rules.

How often Prometheus compacts the TSDB data blocks.

How often Prometheus sends metrics to remote storage.

QUESTION 36
Which of the following signal belongs to symptom-based alerting?

Disk space

CPU usage

Database memory utilization

API latency

QUESTION 37
What is a difference between a counter and a gauge?

Counters change value on each scrape and gauges remain static.

Counters and gauges are different names for the same thing.

Counters have no labels while gauges can have many labels.

Counters are only incremented, while gauges can go up and down.

QUESTION 38
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.

verb label content should be normalized to lowercase.

Unit is missing in the http_requests_total metric name.

QUESTION 39
What does scrape_interval configure in Prometheus?

It defines how frequently to scrape targets.

It defines how frequently to evaluate rules.

It defines how often to send alerts.

It defines how often to refresh metrics.

QUESTION 40
How do you configure the rule evaluation interval in Prometheus?

You can configure the evaluation interval in the global configuration file and in the rule configuration file.

You can configure the evaluation interval in the service discovery configuration and in the command-line flags.

You can configure the evaluation interval in the scraping job configuration file and in the command-line flags.

You can configure the evaluation interval in the Prometheus TSDB configuration file and in the rule configuration file.

QUESTION 41
Which of the following metrics is unsuitable for a Prometheus setup?

prometheus_engine_query_log_enabled

promhttp_metric_handler_requests_total{code=”500″}

http_response_total{handler=”static/*filepath”}

user_last_login_timestamp_seconds{email=”[email protected]”}

QUESTION 42
Which PromQL statement returns the average free bytes of the filesystems over the last hour?

avg_over_time(node_filesystem_avail_bytes[1h])

avg(node_filesystem_avail_bytes[1h])

sum(node_filesystem_avail_bytes[1h])

sum_over_time(node_filesystem_avail_bytes[1h])

QUESTION 43
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.

QUESTION 44
What’s “wrong” with the myapp_filG_uploads_total{userid=,,5123″,status=”failed”} metric?

The userid should not be exposed as a label.

The status should not be exposed as a label.

The _total suffix should be omitted.

The metric name should consist of dashes instead of underscores.

QUESTION 45
How would you add text from the instance label to the alert’s description for the following alert?
alert: InstanceDown
expr: up == 0
for: 5m
labels:
severity: page
annotations:
description: “Instance INSTANCE_NAME_HERE down”

Use $labels.instance instead of INSTANCE_NAME_HERE

Use $value.instance instead of INSTANCE_NAME_HERE

Use $expr.instance instead of INSTANCE_NAME_HERE

Use $metric.instance instead of INSTANCE_NAME_HERE

Linux Foundation PCA Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 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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Linux Foundation PCA Exam Syllabus Topics:

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