KCNA Cloud Native Observability Practice Question
Which THREE of the following are benefits of using a service mesh for observability? (Select three.)
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
✓
Distributed tracing across services
A service mesh provides visibility into inter-service communication, adds distributed tracing without code changes, and collects metrics like request latency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reduced network latency
Why it's wrong here
Service mesh may add slight latency due to sidecar proxies.
- ✗
Centralized logging of all application logs
Why it's wrong here
Service mesh typically does not handle application logs; it handles network-level telemetry.
- ✓
Distributed tracing across services
Why this is correct
Service mesh can propagate trace context and generate spans for each hop.
- ✓
Collection of detailed metrics for service-to-service communication
Why this is correct
Service mesh proxies collect metrics like request count, latency, error rate.
- ✓
Automatic instrumentation of application code for traces
Why this is correct
Service mesh can add tracing headers without modifying application code.
Go deeper
Related to this question
Learn chapter
Observability: Monitoring, Logging, and Tracing
Key term
Service Mesh
A service mesh is a dedicated infrastructure layer that manages communication between microservices, handling tasks like service discovery, load balancing, encryption, and observability without requiring changes to application code.
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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.