GCP-ADP · domain
Data Pipeline Orchestration
Practise Google Cloud Associate Data Practitioner (GCP-ADP) Data Pipeline Orchestration practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.
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What to know about Data Pipeline Orchestration
Data Pipeline Orchestration questions test whether you can apply the concept in context, not just recognise a definition.
How the topic appears in realistic exam-style scenarios.
Which detail in the question changes the correct answer.
How to eliminate plausible but wrong options.
How to connect the question back to the wider exam objective.
Watch out for
Common Data Pipeline Orchestration exam traps
- ▸Answering from memory before reading the full scenario.
- ▸Missing a constraint such as cost, availability, security, scope or command context.
- ▸Choosing a broad answer when the question asks for the most specific fix.
- ▸Ignoring why the wrong options are tempting.
Question index
All Data Pipeline Orchestration questions (36)
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You are using Airflow with a Cloud Composer environment. You want to ensure that a specific task runs on a specific day of the week. How do you configure the schedule?
Medium2Which TWO of the following are true about Workflows' serverless nature?
Medium3What is the primary function of the Airflow 'Executor' in Cloud Composer?
Easy4Which THREE of the following are components of a Workflows definition?
Easy5Which TWO of the following services can trigger Workflows executions?
Easy6A task in your Airflow DAG involves a long-running process that might exceed the default Airflow worker pod timeout. How should you handle this?
Hard7Which THREE of the following are key benefits of using Cloud Composer for data orchestration?
Medium8In Cloud Composer, what is the default behavior if a DAG execution takes longer than the 'dagrun_timeout' setting?
Easy9A Cloud Composer environment is experiencing high latency in the Airflow UI. What is a common cause and mitigation for this?
Hard10You need to pass a JSON object into a Workflows execution. How should you format the argument in the 'gcloud workflows executions' command?
Medium11Which TWO of the following are best practices for managing Cloud Composer DAG dependencies?
Medium12You are migrating a legacy Airflow environment to Cloud Composer. You need to ensure that local Python packages used by custom operators are installed correctly. What is the recommended approach?
Hard13Which THREE of the following are valid methods for troubleshooting failed tasks in Cloud Composer?
Hard14You are orchestrating a pipeline with Workflows that invokes several Cloud Functions. You need to pass the output of one function as an argument to the next. What is the correct syntax?
Medium15Which THREE of the following Cloud Composer 2 features provide improved performance over Composer 1?
Hard16Which TWO of the following are valid ways to trigger a Cloud Composer DAG?
Easy17Which Cloud Composer metric should you monitor to identify if your Airflow scheduler is struggling to parse your DAGs in a timely manner?
Easy18You are deploying a Cloud Composer 2 environment and need to ensure that the DAG files are automatically synchronized to all workers. Where should you store these files?
Easy19Which THREE of the following are valid Airflow connection types in Cloud Composer?
Medium20A Cloud Composer DAG is failing because the Airflow database is locking up during high-concurrency periods. What is the most effective way to address this?
Hard21You are troubleshooting a stuck task in Cloud Composer. You want to see the stdout/stderr logs for that specific task attempt. Where can you find them?
Medium22You have a Workflow that must wait for a specific time duration before proceeding. Which step type is most appropriate?
Medium23Which property in a Workflows YAML definition is required to define the entry point of the workflow?
Easy24Which component of Cloud Composer acts as the primary interface for managing and triggering DAGs manually?
Easy25In a Cloud Composer DAG, you need to trigger a BigQuery job that runs as a service account other than the one assigned to the GKE nodes. How should you implement this?
Hard26Your organization uses Workflows to orchestrate multi-step API calls. You need to handle transient failures in a specific HTTP request by retrying it up to 5 times with exponential backoff. Which block should you use?
Medium27You want to dynamically generate tasks in an Airflow DAG based on the number of files in a GCS bucket. What is the standard way to do this?
Hard28Which THREE of the following are common steps in a typical data pipeline orchestration pattern?
Easy29Which TWO of the following are common reasons a Workflows execution might stay in a 'PENDING' or 'FAILED' state?
Hard30Which command-line tool do you primarily use to deploy and manage Workflows?
Easy31You need to run a Workflows execution based on a schedule. Which Google Cloud service is designed to manage this triggering?
Hard32Your team needs to audit all modifications made to DAG files in the GCS bucket used by Cloud Composer. What is the most efficient way to achieve this?
Hard33When configuring a Workflows execution, you want to ensure the workflow can be triggered by an HTTP POST request. Which feature allows this?
Easy34When using Cloud Scheduler to trigger a Workflows execution, what is the best practice for authenticating the scheduler to the Workflows API?
Easy35Which TWO of the following strategies help reduce Cloud Composer costs?
Hard36You need to run a task in Cloud Composer only if the previous task failed. Which Trigger Rule should you use?
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Frequently asked questions
- What does the Data Pipeline Orchestration domain cover on the GCP-ADP exam?
- Data Pipeline Orchestration questions test whether you can apply the concept in context, not just recognise a definition.
- How many questions are in this domain?
- This page lists all 36 Data Pipeline Orchestration questions in the GCP-ADP question bank. The actual exam draws from this domain proportionally to its weighting in the official exam blueprint.
- What is the best way to practise this domain?
- Start with a short focused session (10 questions) to identify gaps, then work through explanations. Repeat with a longer session once the weak areas feel solid.
- Can I practise only Data Pipeline Orchestration questions?
- Yes — the session launcher on this page filters questions to this domain only. Choose any session length for inline explanations and scoring.