Training: Prometheus Certified Associate (PCA) Certification Preparation

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jours

Exam:

Certifiant

Level:

Intermédiaire

Funding:

Eligible

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Prometheus Certified Associate (PCA) Certification Preparation Training

The Prometheus Certified Associate (PCA) certification preparation course is aimed at professionals who want to validate their understanding of observability principles and their mastery of Prometheus fundamentals. The Linux Foundation positions the PCA as a certification demonstrating fundamental knowledge of observability and skills in using Prometheus.

Targeted preparation to structure your knowledge and pass the exam

This course can be taken after Observability with Prometheus and Grafana or as stand-alone preparation for professionals who already have some monitoring experience. It revisits the essential Prometheus concepts, structures the domains expected in the exam and prepares you effectively for the certification.

Participant Profiles

DevOps engineers
Systems and cloud administrators
SREs
Platform engineers
Observability professionals
Candidates preparing for the PCA certification

Objectives

Consolidate the fundamental concepts of Prometheus
Review observability principles related to metrics and alerting
Master the basics of PromQL, scraping and Prometheus architecture
Understand best practices for configuration and operations
Structure a coherent review consistent with the expectations of the PCA certification

Prerequisites

Having completed Observability with Prometheus and Grafana or equivalent experience
Understanding the concepts of monitoring, metrics and alerting
Having basic Linux and networking knowledge
Prior hands-on practice with Prometheus is recommended

Course Content

Module 1: Fundamentals of Prometheus and observability

Concepts of monitoring and observability
Role of Prometheus in a monitoring chain
General architecture of Prometheus
Types of metrics and collection principles

Module 2: Data model and PromQL

Prometheus data model
Time series and labels
PromQL queries
Aggregations, filters and common functions
Leveraging metrics in operational scenarios

Module 3: Scraping, targets and exporters

Target configuration
Jobs and basic discovery
Exporters and metrics collection
Structuring labels and configuration
Common collection and diagnostic cases

Module 4: Alerting and operations

Principles of alerting
Alert rules
Introduction to Alertmanager
Best practices for monitoring and alerting
Organizing actionable monitoring

Module 5: Certification-focused review

Structured review of the concepts tested
Clarification of points to watch out for
Practice questions
Exam-style scenarios
Review tips and exam strategy

Documentation

Digital course materials included

Lab / Exercises

This course includes hands-on exercises designed to reinforce your knowledge and apply your skills in real-world professional scenarios.

Exam

This course prepares for the Prometheus Certified Associate (PCA) certification
Exam included in the course price

Complementary Courses

Eligible Funding

This training is eligible for Temptraining funding for temporary workers in Switzerland.

Additional Information

Why choose Prometheus and Grafana for cloud-native monitoring?

In a cloud-native ecosystem dominated by microservices and Kubernetes, traditional monitoring is no longer enough. Prometheus, a CNCF graduated project, has established itself as the de facto standard for metrics collection thanks to its pull model, its PromQL query language, and its native integration with the Kubernetes ecosystem. Paired with Grafana, the most widely adopted open-source visualization tool, it forms a powerful, flexible, and cost-effective observability stack.

Unlike proprietary solutions such as Datadog or New Relic, the Prometheus/Grafana stack is entirely open source, eliminating licensing costs that are often prohibitive at scale. Compared to legacy tools like Zabbix or Nagios, Prometheus offers an architecture natively designed for dynamic and containerized environments, with automatic service discovery and horizontal scalability via Thanos or Cortex.

The SRE and DevOps market in Switzerland

SRE and DevOps profiles who master cloud-native observability tools are in high demand. Companies in the financial, pharmaceutical, and technology sectors are actively seeking engineers capable of building robust monitoring platforms. Mastering Prometheus and Grafana is now a prerequisite for many Site Reliability Engineer (SRE), platform engineer, and cloud architect positions.

Prometheus Certified Associate (PCA) certification

For professionals looking to officially validate their skills, the PCA (Prometheus Certified Associate) certification from the CNCF is an excellent option. This training covers all the domains assessed by the PCA exam: Prometheus architecture, PromQL, alerting, and dashboarding. It provides solid preparation for candidates considering this certification.

FAQ

Do I need to know Kubernetes to take this training?

Basic Kubernetes concepts (pods, services, deployments) are recommended, especially for Module 5 dedicated to Kubernetes monitoring. However, the first four modules are accessible with only Linux and Docker knowledge.

What is the difference between Prometheus and tools like Datadog or Zabbix?

Prometheus is open source and natively designed for cloud-native and Kubernetes environments. Datadog is a proprietary SaaS solution, very comprehensive but costly at scale. Zabbix is a traditional monitoring tool, performant for classic infrastructures but less suited to containerized and dynamic architectures.

Does this training prepare for the PCA certification?

This training covers all domains of the PCA (Prometheus Certified Associate) program from the CNCF. While it is not specifically an exam preparation course, it provides the technical knowledge needed to approach the certification with confidence.

Do the labs require a specific environment?

No, all lab environments are provided during the training. You will work on pre-configured Kubernetes clusters with the full Prometheus/Grafana stack already deployed, allowing you to focus on learning.

How difficult is PromQL?

PromQL has a moderate learning curve. Module 3 of this training is entirely dedicated to progressive mastery of this language, from simple queries to advanced aggregation and prediction queries. Hands-on exercises accompany each concept.