hardMultiple Select
PDE Practice Question: A company uses Cloud Composer to orchestrate…
A company uses Cloud Composer to orchestrate Dataproc and BigQuery jobs. They need to implement retry logic for transient failures. Which THREE features can help?
⚠ Common exam trap
Watch out — candidates often confuse infrastructure-level high availability (Option D) with application-level retry logic, leading candidates to select HA as a retry mechanism when it only ensures environment uptime, not task-level failure recovery.
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 retry_delay
Cloud Composer (Apache Airflow) allows setting `retry_delay` at the DAG level to define the time delay between task retries. This is a native Airflow feature that helps handle transient failures by automatically retrying failed tasks after a specified delay, reducing manual intervention.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Dataflow pipeline retries
Why it's wrong here
Dataflow retries are separate and not managed by Composer.
- ✓
DAG retry_delay
Why this is correct
Composer can retry the entire DAG on failure with a delay.
- ✓
BigQuery job retries
Why this is correct
BigQuery jobs can be retried in case of transient errors.
- ✗
Cloud Composer high availability
Why it's wrong here
HA ensures uptime but does not provide retry logic.
- ✓
Task retries and retry_delay
Why this is correct
Individual tasks can be retried with configurable delays.
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