KCNA Cloud Native Observability Practice Question
Which tool is specifically designed for distributed tracing and is a Cloud Native Computing Foundation (CNCF) graduated project?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Jaeger
Jaeger is a CNCF graduated project focused on distributed tracing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Grafana
Why it's wrong here
Grafana visualises traces from backends such as Jaeger or Tempo; it does not itself provide distributed tracing instrumentation or a CNCF-graduated tracing project. It is tempting because Grafana dashboards commonly display trace data, but the CNCF-graduated tracing tool is Jaeger.
- ✗
Fluentd
Why it's wrong here
Fluentd is a log collection and forwarding agent, aggregating and shipping log records rather than capturing spans across service calls. It is tempting because Fluentd is CNCF-graduated and central to observability pipelines, and would be correct when the requirement is unified log aggregation and routing rather than distributed tracing.
- ✓
Jaeger
Why this is correct
Jaeger provides distributed tracing by propagating context across service boundaries, letting you visualise request flows and pinpoint latency in microservices. It satisfies the CNCF graduated constraint, unlike Prometheus (metrics) or Fluentd (logs), making it the tool specifically designed for tracing in cloud-native environments.
- ✗
Prometheus
Why it's wrong here
Prometheus is a metrics collection and time-series monitoring system, not a distributed tracing tool; it records numeric samples rather than spans across services. It is tempting because Prometheus is CNCF-graduated and often deployed alongside tracing, and would be correct when the requirement is metric scraping and alerting rather than request-path tracing.
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Same concept, more angles
2 more ways this is tested on KCNA
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which TWO of the following tools are commonly used for distributed tracing in cloud-native environments? (Select two.)
easy- ✓ A.Zipkin
- B.Grafana
- ✓ C.Jaeger
- D.Fluentd
- E.Prometheus
Why A: Zipkin (A) is correct because it is a dedicated distributed tracing system that collects and visualizes latency data across microservice call chains using trace and span IDs propagated via headers such as B3. Jaeger (C) is also correct because it is a CNCF-graduated distributed tracing platform that instruments requests across services, supports OpenTracing/OpenTelemetry, and provides trace storage and a UI for span analysis. Grafana (B) is primarily a visualization and dashboarding layer that can query tracing backends but is not itself a tracing system. Fluentd (D) is a log collection and forwarding agent, and Prometheus (E) is a metrics monitoring and time-series database, neither of which performs distributed request tracing.
Variation 2. Which tool is primarily used for distributed tracing in cloud native environments?
medium- A.Grafana
- B.Fluentd
- ✓ C.Jaeger
- D.Prometheus
Why C: Jaeger is an open-source, CNCF-graduated distributed tracing system originally built by Uber, designed to collect, store, and visualize traces across microservices. It implements the OpenTracing/OpenTelemetry data model and provides a UI for trace analysis, making it the canonical tracing tool in cloud native environments. Its architecture (agents, collectors, query service, storage backends) is purpose-built for distributed tracing.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This KCNA practice question is part of Courseiva's free CNCF certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the KCNA exam.