This course provides practice exams for the OpenTelemetry Certified Associate (OTCA) certification. It is focused on exam preparation and assessment.

The course includes multiple practice tests delivered through Udemy's practice test system. Questions are multiple-choice and structured to reflect the format and difficulty level of the OTCA exam. Each question includes a clear explanation for correct and incorrect answers. Learners can review results, retake tests, and track performance to identify gaps and improve readiness.

Practice Test Features:

• Practice mode: untimed, answers can be reviewed during the test, suitable for learning and revision

• Exam mode: timed, answers are revealed only after submission, simulates real exam conditions

• Detailed explanations for every question

• Score reports and performance breakdown by topic

• Unlimited retakes

Practice mode: untimed, answers can be reviewed during the test, suitable for learning and revision

Exam mode: timed, answers are revealed only after submission, simulates real exam conditions

Detailed explanations for every question

Score reports and performance breakdown by topic

Unlimited retakes

The practice exams cover all OTCA knowledge domains, including:

Fundamentals of Observability:

• Observability concepts and telemetry signals (traces, metrics, logs)

• Monitoring vs. observability differences

• Distributed systems and cloud-native architecture basics

• Observability pillars and best practices

Observability concepts and telemetry signals (traces, metrics, logs)

Monitoring vs. observability differences

Distributed systems and cloud-native architecture basics

Observability pillars and best practices

The OpenTelemetry API and SDK:

• Manual instrumentation techniques

• Auto-instrumentation and zero-code instrumentation

• Context propagation and W3C Trace Context

• Semantic conventions for HTTP, gRPC, and databases

• Sampling strategies (head-based and tail-based)

• Exporters, processors, and SDK configuration

• Resource attributes and instrumentation scopes

Manual instrumentation techniques

Auto-instrumentation and zero-code instrumentation

Context propagation and W3C Trace Context

Semantic conventions for HTTP, gRPC, and databases

Sampling strategies (head-based and tail-based)

Exporters, processors, and SDK configuration

Resource attributes and instrumentation scopes

The OpenTelemetry Collector:

• Collector architecture (receivers, processors, exporters, connectors)

• Deployment patterns (agent mode vs. gateway mode)

• OTLP protocol configuration (gRPC and HTTP)

• Pipeline configuration and data transformation

• Batch processing and memory management

• Integration with backends (Jaeger, Prometheus, Loki, Grafana)

Collector architecture (receivers, processors, exporters, connectors)

Deployment patterns (agent mode vs. gateway mode)

OTLP protocol configuration (gRPC and HTTP)

Pipeline configuration and data transformation

Batch processing and memory management

Integration with backends (Jaeger, Prometheus, Loki, Grafana)

Maintaining and Debugging Observability Pipelines:

• Troubleshooting data loss and pipeline issues

• Performance optimization and scaling strategies

• Health checks and internal diagnostics

• OpenTelemetry Operator and Kubernetes integration

• Legacy observability system integration

Troubleshooting data loss and pipeline issues

Performance optimization and scaling strategies

Health checks and internal diagnostics

OpenTelemetry Operator and Kubernetes integration

Legacy observability system integration

This course is intended for DevOps engineers, SREs, application developers, platform engineers, and IT professionals preparing for the OTCA exam. Basic understanding of observability and distributed systems is recommended. The goal is to help learners understand exam topics, question structure, and time management.

Disclaimer: This course is an independent resource and is not affiliated with, endorsed by, or sponsored by the Linux Foundation or the Cloud Native Computing Foundation (CNCF).