GCP-ADP Data Pipeline Orchestration Practice Question
Which Cloud Composer metric should you monitor to identify if your Airflow scheduler is struggling to parse your DAGs in a timely manner?
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
✓
dag_processing_total_parse_time
The 'dag_processing_total_parse_time' metric specifically tracks the time taken to process and parse DAG files.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
airflow_task_execution_time
Why it's wrong here
This tracks how long actual tasks take, not the scheduling process.
- ✗
dag_run_success_count
Why it's wrong here
This tracks business outcomes, not system performance.
- ✓
dag_processing_total_parse_time
Why this is correct
This metric tracks DAG parsing performance.
- ✗
scheduler_heartbeat
Why it's wrong here
This indicates if the scheduler is alive, not if it is efficient.
About these practice questions
One of 205 original GCP-ADP practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Google Cloud exam blueprint
This GCP-ADP practice question is part of Courseiva's free Google Cloud 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 GCP-ADP exam.