Linux Foundation PCA Exam Details & Actual Exam Questions
- Exam Code/Number: PCA
- Exam Name/Title: Prometheus Certified Associate Exam
- Certification Provider: Linux Foundation
- Corresponding Certification: Cloud & Containers
- Exam Questions: 62
- Updated On: Jul,13 2026
- Certification Level: Associate
Linux Foundation Prometheus Certified Associate Exam Questions
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(22 Up Votes)Linux Foundation PCA Exam Overview:
| Certification Vendor: | Linux Foundation |
| Exam Name: | Prometheus Certified Associate (PCA) Exam |
| Exam Number: | PCA |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | 3 years |
| Passing Score: | 75% |
| Related Certifications: | Certified Kubernetes Administrator (CKA) Certified Kubernetes Application Developer (CKAD) Kubernetes and Cloud Native Associate (KCNA) |
| Available Languages: | English |
| Exam Price: | USD 250 |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple Choice, Multiple Select, Performance-based conceptual questions |
| Sample Questions: | Linux Foundation PCA Sample Questions |
| Exam Way: | Online proctored exam (remote) |
| Pre Condition: | No formal prerequisites required; basic Linux, Kubernetes, and monitoring concepts recommended. |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/prometheus-certified-associate/ |
Linux Foundation PCA Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Alerting and Recording Rules | - Alertmanager configuration and routing - Alert rules and recording rules |
| Topic 2: PromQL (Prometheus Query Language) | - Basic PromQL queries and selectors - Aggregation and operators - Query troubleshooting and optimization |
| Topic 3: Instrumentation and Exporters | - Exporters and metrics endpoints - Client libraries and instrumentation best practices |
| Topic 4: Service Discovery and Targets | - Kubernetes service discovery integration - Static and dynamic service discovery |
| Topic 5: Prometheus Fundamentals | - Core concepts of metrics and monitoring - Prometheus architecture and components - Data model and time series fundamentals |
| Topic 6: Observability in Cloud Native Environments | - Monitoring Kubernetes workloads - Operational best practices for Prometheus |
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