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KCNA Cloud Native Observability Practice Question

Which tool is specifically designed for log aggregation and is built by Grafana Labs as a lightweight, cost-effective alternative to traditional log systems?

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

✓

Loki

Loki is a log aggregation system optimized for Kubernetes, designed to be cost-effective and easy to operate.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Loki

    Why this is correct

    Loki indexes only metadata labels rather than full log text, storing compressed chunks in object storage, which satisfies the lightweight, cost-effective constraint. Built by Grafana Labs, it aggregates logs alongside Prometheus-style metrics, making it the purpose-built alternative to traditional full-text indexing systems such as Elasticsearch.

  • ✗

    Zipkin

    Why it's wrong here

    Zipkin is a distributed tracing system that records span timing across service calls, so it does not ingest or index log lines. Its OpenTracing heritage and Grafana dashboards make it tempting in observability contexts, but Loki is the Grafana Labs log aggregation tool; Zipkin suits latency tracing, not log centralisation.

  • ✗

    Prometheus

    Why it's wrong here

    Prometheus is a metrics monitoring and time-series database, not a log aggregation system; Loki is Grafana Labs' log tool. It tempts because Prometheus and Loki share label-based querying and Grafana integration, so it is the correct choice for metrics collection rather than logs.

  • ✗

    Jaeger

    Why it's wrong here

    Jaeger performs distributed tracing, capturing spans across microservices to diagnose latency, not aggregating log streams. It is tempting because Grafana Labs also maintains it and it ships in observability stacks, but Loki is the Grafana-built log aggregation system; Jaeger would be chosen for tracing request flows, not centralising logs.

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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.