Which statement correctly compares Jaeger and Zipkin?

Jaeger is a logging framework, while Zipkin is a tracing library

Jaeger is a tracing backend that supports multiple storage backends, while Zipkin is a metrics collection agent

Zipkin is a commercial product, while Jaeger is open source

Both Jaeger and Zipkin are open-source distributed tracing systems that can receive and visualize trace data

A team is troubleshooting a slow checkout flow. The frontend service calls the payment service, which then calls a fraud-check service. The frontend logs show a 3-second delay, but the payment service logs show only 200ms of processing. The team suspects the delay is in the fraud-check service but cannot confirm because each service logs independently. What should the team do to pinpoint the delay?

Use a network packet analyzer to capture all traffic between the three services and manually correlate the packets by timestamp.

Instrument all three services with a tracing library that propagates a trace ID and span IDs via HTTP headers, then view the resulting trace in a tracing backend.

Add a shared correlation ID to the logs of all three services and search for that ID across the log files.

Increase the log verbosity of the payment service to DEBUG level so it records the response time of the fraud-check call.

What does a span with an error status in a trace indicate?

The trace data was not exported correctly

The operation represented by the span failed or encountered an error

The entire trace is invalid and should be ignored

The service that created the span is down

How can traces be correlated with logs to provide more context during troubleshooting?

By including the trace ID in log entries, allowing logs to be filtered by trace

By using the same timestamp for logs and traces

By storing logs and traces in the same database table

By disabling sampling for any service that generates logs

What does it mean to 'instrument' an application for tracing?

To add code or configuration that generates trace data for operations within the application

To deploy the application to a production environment with monitoring enabled

To configure the application's firewall rules to allow trace data to be sent externally

To compile the application with debug symbols for performance profiling

LPI DevOps Tools Engineer

Domain 4Objective 4

704.4 Tracing (weight: 2) DEVOPS-TOOLS-ENGINEER Practice Questions (Page 1)

Part of the 704 Security and Observability domain, which makes up ~26% of our current practice bank. Linux Professional Institute does not publish an official question count, but from its 90-minute exam (~35–60 total, ~9–16 in this domain), expect 2–4 from this objective — we provide 29 practice questions to prepare you well beyond it. (estimate)

29questions here

6free pages

8concepts

Questions 1–5

1foundation · easy
Which statement correctly compares Jaeger and Zipkin?
Select an answer first
2application · medium
A team is troubleshooting a slow checkout flow. The frontend service calls the payment service, which then calls a fraud-check service. The frontend logs show a 3-second delay, but the payment service logs show only 200ms of processing. The team suspects the delay is in the fraud-check service but cannot confirm because each service logs independently. What should the team do to pinpoint the delay?
Select an answer first
3foundation · easy
What does a span with an error status in a trace indicate?
Select an answer first
4foundation · easy
How can traces be correlated with logs to provide more context during troubleshooting?
Select an answer first
5foundation · easy
What does it mean to 'instrument' an application for tracing?
Select an answer first

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