- 60 Actual Exam Questions
- Compatible with all Devices
- Printable Format
- No Download Limits
- 90 Days Free Updates
Get All Prometheus Certified Associate Exam Questions with Validated Answers
| Vendor: | Linux Foundation |
|---|---|
| Exam Code: | PCA |
| Exam Name: | Prometheus Certified Associate |
| Exam Questions: | 60 |
| Last Updated: | December 16, 2025 |
| Related Certifications: | Cloud & Containers Certifications |
| Exam Tags: | Intermediate Level Engineers and application developers |
Looking for a hassle-free way to pass the Linux Foundation Prometheus Certified Associate exam? DumpsProvider provides the most reliable Dumps Questions and Answers, designed by Linux Foundation certified experts to help you succeed in record time. Available in both PDF and Online Practice Test formats, our study materials cover every major exam topic, making it possible for you to pass potentially within just one day!
DumpsProvider is a leading provider of high-quality exam dumps, trusted by professionals worldwide. Our Linux Foundation PCA exam questions give you the knowledge and confidence needed to succeed on the first attempt.
Train with our Linux Foundation PCA exam practice tests, which simulate the actual exam environment. This real-test experience helps you get familiar with the format and timing of the exam, ensuring you're 100% prepared for exam day.
Your success is our commitment! That's why DumpsProvider offers a 100% money-back guarantee. If you don’t pass the Linux Foundation PCA exam, we’ll refund your payment within 24 hours no questions asked.
Don’t waste time with unreliable exam prep resources. Get started with DumpsProvider’s Linux Foundation PCA exam dumps today and achieve your certification effortlessly!
Which of the following is a valid metric name?
According to Prometheus naming rules, metric names must match the regex [a-zA-Z_:][a-zA-Z0-9_:]*. This means metric names must begin with a letter, underscore, or colon, and can only contain letters, digits, and underscores thereafter.
The valid metric name among the options is go_goroutines, which follows all these rules. It starts with a letter (g), uses underscores to separate words, and contains only allowed characters.
By contrast:
go routines is invalid because it contains a space.
go.goroutines is invalid because it contains a dot (.), which is reserved for recording rule naming hierarchies, not metric identifiers.
99_goroutines is invalid because metric names cannot start with a number.
Following these conventions ensures compatibility with PromQL syntax and Prometheus' internal data model.
Extracted from Prometheus documentation -- Metric Naming Conventions and Data Model Rules sections.
How can you select all the up metrics whose instance label matches the regex fe-.*?
PromQL supports regular expression matching for label values using the =~ operator. To select all time series whose label values match a given regex pattern, you use the syntax {label_name=~'regex'}.
In this case, to select all up metrics where the instance label begins with fe-, the correct query is:
up{instance=~'fe-.*'}
Explanation of operators:
= exact match.
!= not equal.
=~ regex match.
!~ regex not match.
Option D uses the correct =~ syntax. Options A and B use invalid PromQL syntax, and option C is almost correct but includes a misplaced extra quote style (~''), which would cause a parsing error.
Verified from Prometheus documentation -- Expression Language Data Selectors, Label Matchers, and Regular Expression Matching Rules.
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"
In Prometheus alerting rules, you can dynamically reference label values in annotations and labels using template variables. Each alert has access to its labels via the variable $labels, which allows direct insertion of label data into alert messages or descriptions.
To include the value of the instance label dynamically in the description, replace the placeholder INSTANCE_NAME_HERE with:
description: 'Instance {{$labels.instance}} down'
or equivalently:
description: 'Instance $labels.instance down'
Both forms are valid --- the first follows Go templating syntax and is the recommended format.
This ensures that when the alert fires, the instance label (e.g., a hostname or IP) is automatically included in the message, producing outputs like:
Instance 192.168.1.15:9100 down
Options B, C, and D are invalid because $value, $expr, and $metric are not recognized context variables in alert templates.
Verified from Prometheus documentation -- Alerting Rules Configuration, Using Template Variables in Annotations and Labels, and Prometheus Templating Guide (Go Templates and $labels usage) sections.
How can you use Prometheus Node Exporter?
The Prometheus Node Exporter is a core system-level exporter that exposes hardware and operating system metrics from *nix-based hosts. It collects metrics such as CPU usage, memory, disk I/O, filesystem space, network statistics, and load averages.
It runs as a lightweight daemon on each host and exposes metrics via an HTTP endpoint (default: :9100/metrics), which Prometheus scrapes periodically.
Key clarification:
It does not instrument applications (A).
It does not collect metrics directly from application HTTP endpoints (B).
It is unrelated to HTTP probing tasks --- those are handled by the Blackbox Exporter (D).
Thus, the correct use of the Node Exporter is to collect and expose hardware and OS-level metrics for Prometheus monitoring.
Extracted and verified from Prometheus documentation -- Node Exporter Overview, Host-Level Monitoring, and Exporter Usage Best Practices sections.
What is api_http_requests_total in the following metric?
api_http_requests_total{method="POST", handler="/messages"}
In Prometheus, the part before the curly braces {} represents the metric name. Therefore, in the metric api_http_requests_total{method='POST', handler='/messages'}, the term api_http_requests_total is the metric name. Metric names describe the specific quantity being measured --- in this example, the total number of HTTP requests received by an API.
The portion within the braces defines labels, which provide additional dimensions to the metric. Here, method='POST' and handler='/messages' are labels describing request attributes. The metric name should follow Prometheus conventions: lowercase letters, numbers, and underscores only, and ending in _total for counters.
This naming scheme ensures clarity and standardization across instrumented applications. The metric type (e.g., counter, gauge) is declared separately in the exposition format, not within the metric name itself.
Verified from Prometheus documentation -- Metric and Label Naming, Data Model, and Instrumentation Best Practices sections.
Security & Privacy
Satisfied Customers
Committed Service
Money Back Guranteed