Show you can work with data on Google Cloud, from ingesting and analyzing it with BigQuery and Looker to managing access, and track your readiness for the Associate Data Practitioner exam.

Fundamental

Prepare and test your skills

Fundamental

Prepare and test your skills

Concept

logs

Topic in 2 exam domains

X LinkedIn Facebook Reddit

logs · Concept
Logs · Concept
Logs · Service · Google Cloud logging
Logs · Feature · goog.gdc.logging.v1 interface
logs · Feature · gcloud functions command group

Logs are time-stamped records of discrete events, such as failures, errors, or state changes, occurring within a system or application. On Associate Data Practitioner it comes up as diagnostic telemetry used to troubleshoot pipeline failures, distinguish execution errors across stages, and configure monitoring alerts.

What you can expect on the exam

Diagnosing Dataflow stages with job and worker logs. Be ready to inspect job-level logs and worker-level logs to pinpoint stage failures and isolate error counts within the Dataflow interface.
Differentiating log types in Cloud Logging. You may need to distinguish between access logs, error logs, and application logs in Cloud Logging to isolate security anomalies and operational issues.
Tracing error details and code locations. Be ready to locate contextual information within logs, such as specific error messages, stack traces, and source code locations, to diagnose application failures.
Following a stage-level investigation flow. Expect to navigate from pipeline execution history to job details and stage logs to isolate a true bottleneck step during backlog propagation.

Where this appears on the exam

2 subdomains in 1 of 4 domains

Section 3
Data Pipeline Orchestration
1. 3.2Schedule, automate, and monitor basic data processing tasks
  - Monitor Dataflow pipeline progress using the Dataflow job UI
  - Review and analyze logs in Cloud Logging and Cloud Monitoring

How learners score on this topic

Last updated November 2, 2026

Associate Data Practitioner

Show you can work with data on Google Cloud, from ingesting and analyzing it with BigQuery and Looker to managing access, and track your readiness for the Associate Data Practitioner exam.

Fundamental

Prepare and test your skills

Fundamental

Prepare and test your skills

Concept

logs

Topic in 2 exam domains

X LinkedIn Facebook Reddit

logs · Concept
Logs · Concept
Logs · Service · Google Cloud logging
Logs · Feature · goog.gdc.logging.v1 interface
logs · Feature · gcloud functions command group

What you can expect on the exam

Diagnosing Dataflow stages with job and worker logs. Be ready to inspect job-level logs and worker-level logs to pinpoint stage failures and isolate error counts within the Dataflow interface.
Differentiating log types in Cloud Logging. You may need to distinguish between access logs, error logs, and application logs in Cloud Logging to isolate security anomalies and operational issues.
Tracing error details and code locations. Be ready to locate contextual information within logs, such as specific error messages, stack traces, and source code locations, to diagnose application failures.
Following a stage-level investigation flow. Expect to navigate from pipeline execution history to job details and stage logs to isolate a true bottleneck step during backlog propagation.

Where this appears on the exam

2 subdomains in 1 of 4 domains

Section 3
Data Pipeline Orchestration
1. 3.2Schedule, automate, and monitor basic data processing tasks
  - Monitor Dataflow pipeline progress using the Dataflow job UI
  - Review and analyze logs in Cloud Logging and Cloud Monitoring

How learners score on this topic

Last updated November 2, 2026

What you can expect on the exam

Where this appears on the exam

Related topics

How learners score on this topic

What you can expect on the exam

Where this appears on the exam

Related topics

How learners score on this topic