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Cloudera CDP Data Engineer - Certification Exam Sample Questions (Q108-Q113):
NEW QUESTION # 108
What happens when a task in Airflow is marked as "skipped"?
- A. The skipped task's downstream tasks are automatically executed.
- B. The skipped task's downstream tasks are also skipped, unless their conditions for execution are met independently.
- C. Airflow retries the skipped task until it succeeds.
- D. The entire DAG is marked as failed, and no further tasks are executed.
Answer: B
Explanation:
When a task is marked as "skipped" in Airflow, any downstream tasks that depend on it are also skipped, unless those downstream tasks have their conditions for execution met independently through other branches of the DAG. This behavior allows for conditional execution paths within a DAG.
NEW QUESTION # 109
What is the impact of query vectorization in Cloudera's Optimization Framework?
- A. It enables the execution of SQL commands
- B. It slows down query execution by adding complexity
- C. It encrypts query results for security
- D. It improves query performance by processing batches of rows together
Answer: D
Explanation:
Query vectorization improves performance by allowing multiple rows to be processed together as a batch, instead of one row at a time. This reduces CPU usage and improves throughput for query operations-Explain Plans
NEW QUESTION # 110
You need to design your Airflow DAG for data quality checks to be scalable and manageable as the number of datasets and checks grows. How can you achieve this?
- A. Implement a modular design using sub-DAGs, where each sub-DAG encapsulates the data quality checks for a specific dataset.
- B. Utilize Airflow variables to store configuration details like data source paths and check thresholds.
- C. Leverage external configuration files (e.g., YAML or JSON) to define data quality checks and associated parameters.
- D. Hardcode all data quality checks and data sources directly within the DAG code.
Answer: A,C
Explanation:
While option C might be relevant for handling transient errors, option B and D combined offer a robust approach:'BranchPythonOperator': Allows you to evaluate the outcome of the data quality checks (success or failurE. within the 'PythonOperator'. Conditional Branching: Based on the check results, the DAG can either proceed with downstream tasks (success) or trigger error handling routines if the checks fail. Automatic Retries (optional): Configuring retries for the data quality checks can be added as a safeguard in case of temporary issues (option D.
NEW QUESTION # 111
What mechanism does Airflow provide to retry failed tasks?
- A. The retry_delay and retries parameters in task definitions
- B. The on failure callback function in DAG definitions
- C. Airflow Scheduler's automatic rerun feature
- D. Manual intervention and rerun via the Airflow Webserver
Answer: A
Explanation:
Airflow allows task retries by specifying retries (the number of retry attempts) and retry_delay (the time to wait between retries) parameters directly in the task definitions. This mechanism enables automatic retry of tasks that fail, helping to handle transient issues or dependencies that may not be ready, without needing manual intervention or relying on callbacks for handling failures.
NEW QUESTION # 112
You're building an Airflow DAG to automate data quality checks on the output of your ETL pipeline. The checks involve performing various data validation tasks like checking for missing values, ensuring data type consistency, and verifying data integrity based on specific business rules. How can you implement these checks within Airflow?
- A. Utilize Python libraries like Pandas or Spark for data manipulation and validation within the PythonOperator.
- B. Use the PythonOperator to write custom Python scripts for each individual check and chain them together in the DAG.
- C. All of the above
- D. Leverage dedicated Airflow operators like BigQueryCheckOperator or S3KeySensor (these operators are specific to certain data sources and not generally applicable for all data quality checks).
Answer: C
NEW QUESTION # 113
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