Apache Airflow Certification Practice Test 03
Real Company Scenario Questions
Apache Airflow Certification Practice Test 03
Real Company Scenario Questions
Insightful Saga — Modern Data Engineering Certification Preparation
Question 41
A newly joined Data Engineer at a global retail company is asked to support a nightly sales pipeline. The workflow currently performs the following steps: 1. Wait for sales files from 500 stores 2. Load files into cloud storage 3. Execute Databricks transformations 4. Load curated data into Snowflake 5. Refresh reporting tables Business users complain that the workflow sometimes starts before all stores have submitted their files, resulting in incomplete reports. What is the MOST appropriate improvement?
Sensors can ensure all required files arrive before downstream processing begins.
Question 42
A banking company runs customer onboarding pipelines every night. Recently, a source API has become unstable and occasionally fails for a few minutes before recovering. Support engineers are repeatedly rerunning failed DAGs manually. What should be implemented?
Question 43
A healthcare company orchestrates a workflow containing: - Extract Patient Records - Validate Records - Load Records - Send Compliance Notification Management requires the notification to be sent only if the load completes successfully. What Airflow capability should be used?
Question 44
A telecommunications company processes call-detail records every hour. The workflow occasionally takes longer than expected and breaches the agreed SLA window. Management wants automatic visibility whenever this happens. What should be configured?
Question 45
A retail company has one Airflow DAG responsible for: - Extracting files - Data quality checks - Transformation - Reporting loads - Notifications The DAG has become difficult to maintain because it contains more than 150 tasks. What should be considered?
Task Groups help organize complex DAGs without changing execution behavior.
Question 46
A newly hired Airflow Engineer reviews a workflow that loads customer data into Snowflake every night. Business users report duplicate customer records in reports. Investigation reveals that the same DAG run was triggered twice for the same execution date. What should be reviewed first?
Question 47
An airline company runs flight operations workflows in Airflow. A downstream task depends on three upstream tasks. Management states: "The final reporting task should run if at least one upstream source completes successfully." Which Airflow capability should be evaluated?
Question 48
A global insurance company processes claims from multiple countries. Source systems sometimes deliver late files. Leadership wants the orchestration platform to recover automatically once files arrive. What Airflow capability best supports this?
Question 49
A company has several DAGs sharing the same legacy database. The database team requests that no more than five concurrent connections be opened at any time. How should this requirement be enforced?
Question 50
A manufacturing company orchestrates predictive maintenance pipelines. The workflow: 1. Collect Sensor Data 2. Run Databricks Processing 3. Generate Predictions 4. Store Results in Snowflake Management wants the entire process visible in one orchestration platform. Why is Airflow a good fit?
Question 51
A newly joined Engineer notices the same extraction logic repeated in ten separate DAGs. The company wants to reduce maintenance effort. What is the BEST recommendation?
Question 52
A finance workflow failed at 3:00 AM. Business users must receive reports by 6:00 AM. Management wants failed jobs automatically retried before support teams are notified. What feature should be configured?
Question 53
A healthcare company wants operational visibility across hundreds of DAGs. Leadership wants: - Success Rates - Failure Counts - Average Runtime - SLA Compliance What should be implemented?
Question 54
A retail company receives sales files from 100 suppliers. Only after all suppliers deliver files should processing begin. What orchestration challenge is being solved?
Question 55
A banking company stores API credentials in plain text inside DAG code. Security teams reject this design. What should be used instead?
Question 56
A support engineer notices a DAG stuck for hours waiting on an external file. What type of task is MOST likely responsible?
Question 57
A logistics company runs hourly logistics updates. Engineers accidentally paused the DAG. Business users now report missing updates. What should be checked first?
Question 58
A company has Dev, QA and Production Airflow environments. Developers frequently hardcode environment-specific values. Deployments often fail. What architectural improvement should be introduced?