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Cloudera CDP Data Engineer - Certification Exam Sample Questions (Q192-Q197):

NEW QUESTION # 192
When leveraging caching in Spark, which scenario illustrates the use of the MEMORY ONLY SER storage level most effectively?

A. Caching datasets that require fast, sequential access without the need for serialization.
B. Caching large datasets that do not fit into memory when stored in deserialized form.
C. Caching small, static datasets used in lookup operations.
D. Caching datasets that are frequently accessed and modified.

Answer: B

Explanation:
The MEMORY_ONLY_SER storage level caches data in memory but in serialized form, which is more space-efficient than storing data in deserialized form (MEMORY_ONLY). This makes MEMORY ONLY_SER most effective for caching large datasets that do not fit into memory in their deserialized form, as serialization reduces the size of the data at the cost of requiring deserialization upon access, which can add computational overhead.

NEW QUESTION # 193
You're working with a large Spark DataFrame and need to perform an aggregation operation (e.g., can you improve the performance of the aggregation? SUM, COUNT). How

A. Increase the number of Spark executors without further optimization
B. Use Spark SQL's built-in aggregation functions like SUM and COUNT
C. Leverage partitioning techniques to group relevant data together
D. All of the above

Answer: D

Explanation:
While increasing executors A might help, it's not the sole solution. Using built-in functions B is essential. Partitioning the DataFrame C based on the column involved in the aggregation reduces data shuffling across the network, significantly improving performance, especially for large datasets.

NEW QUESTION # 194
What happens when a task in Airflow is marked as "skipped"?

A. Airflow retries the skipped task until it succeeds.
B. The entire DAG is marked as failed, and no further tasks are executed.
C. The skipped task's downstream tasks are automatically executed.
D. The skipped task's downstream tasks are also skipped, unless their conditions for execution are met independently.

Answer: D

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 # 195
How can you use Apache Airflow to ensure a data quality check stops the workflow if it fails, without failing subsequent tasks that are not dependent on the data quality check?

A. Use the BranchPythonOperator to split the workflow conditionally.
B. Use the TaskGroup with trigger_rule='one_failed' for the data quality check task.
C. Use the ShortCircuitOperator with a condition that returns False if the check fails.
D. Set trigger_rule='all_done' on subsequent tasks.

Answer: C

Explanation:
The ShortCircuitOperator in Apache Airflow allows a task to conditionally skip following tasks in the workflow based on a condition. If the data quality check fails (i.e., the condition returns FalsE. , subsequent tasks directly dependent on it will be skipped, but it will not affect other parts of the workflow that do not depend on this check.

NEW QUESTION # 196
What is the best practice for handling DAG dependencies in Apache Airflow when one DAG's output is another DAG's input?

A. Use the TriggerDagRunOperator to trigger one DAG from another upon completion.
B. Manually trigger the dependent DAG after the first DAG completes.
C. Directly call one DAG from another using the PythonOperator.
D. Use the ExternalTaskSensor to wait for a task in another DAG to complete.

Answer: D

Explanation:
The ExternalTaskSensor is designed to wait for a specific task in another DAG to complete before proceeding. This is a robust way to handle dependencies between DAGs, ensuring that the downstream DAG only starts its execution once the necessary output from the upstream DAG is ready, without tightly coupling the two DAGs' execution logic.

NEW QUESTION # 197
......

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