This PDE practice question tests your understanding of designing data processing systems. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Dataflow pipeline retries
Why wrong: Dataflow retries are separate and not managed by Composer.
DAG retry_delay
Composer can retry the entire DAG on failure with a delay.
BigQuery job retries
BigQuery jobs can be retried in case of transient errors.
Cloud Composer high availability
Why wrong: HA ensures uptime but does not provide retry logic.
Task retries and retry_delay
Individual tasks can be retried with configurable delays.
Answer choices
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
Option B is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
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.
Related concept
Read the scenario before looking for a memorised answer.
BigQuery job retries
Why this is correct
BigQuery jobs can be retried in case of transient errors.
Related concept
Read the scenario before looking for a memorised answer.
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.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is confusing 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.
Detailed technical explanation
In Apache Airflow, `retry_delay` is a parameter in the `default_args` dictionary of a DAG, specifying the time (e.g., `timedelta(minutes=5)`) to wait before retrying a failed task. This works alongside `retries` (number of retry attempts) and `retry_exponential_backoff` (exponential backoff) to handle transient failures like network timeouts or API rate limits. For BigQuery jobs, Cloud Composer can use the `BigQueryInsertJobOperator` which has built-in retry logic via the `retry` parameter, leveraging Google API client libraries to retry on HTTP 429 or 500 errors.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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FAQ
Designing data processing systems — This question tests Designing data processing systems — Read the scenario before looking for a memorised answer..
The correct answer is: DAG retry_delay — Option B is correct because 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This PDE 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 PDE exam.
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