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Cloudera CDP Data Engineer - Certification Exam Sample Questions (Q120-Q125):

NEW QUESTION # 120
Your Airflow DAG includes tasks that can potentially fail due to various reasons. How can you handle such failures and ensure the overall workflow continues as intended?

A. Implement custom logic within each task to handle potential errors and retry failed tasks manually.
B. Configure the DAG to automatically retry failed tasks a specific number of times.
C. Utilize Airflow XCom to share information about failed tasks with downstream tasks for alternative processing.
D. All of the above

Answer: B,D

Explanation:
While option A might work for simple cases, it's not efficient for event-driven workflows. Option B highlights the use of Airflow sensors:Airflow Sensors: Allow the DAG to wait for specific conditions (e.g., a file to appear, a specific key in S3) before triggering, ensuring timely execution based on external events or data availability.

NEW QUESTION # 121
What is the purpose of partitioning data in Spark?

A. To improve data compression efficiency
B. To enforce data access control
C. To optimize data visualization
D. To enable parallel processing across multiple nodes

Answer: D

Explanation:
Partitioning divides data into smaller, independent subsets that can be processed concurrently by different executors, leading to faster processing times.

NEW QUESTION # 122
What is the significance of "Sort Merge Join" appearing in an Explain Plan in Cloudera's SQL engines?

A. It indicates that the query will benefit from additional indexes
B. It is the least preferred join method due to its high CPU usage
C. It signifies that the join operation is performed by sorting and then merging two datasets, which can be efficient for large, sorted datasets
D. It suggests that the join operation is performed without sorting, leading to faster execution

Answer: C

Explanation:
A). "Sort Merge Join" involves sorting two datasets and then merging them based on the join condition. This method can be efficient for large datasets that are already sorted or partially sorted, as it leverages the order of data to reduce the computational overhead of the join operation.

NEW QUESTION # 123
In the context of Cloudera's Optimization Framework, what role does data statistics collection play?

A. It reduces the need for data compression
B. It helps the optimizer make informed decisions about data layout and query execution plans
C. It provides metadata for security enforcement
D. It is used to generate more data

Answer: B

Explanation:
Collecting data statistics (like row counts, data distribution, and column cardinality) is crucial for the optimizer. It uses these statistics to make informed decisions about the most efficient way to execute queries, including data layout and choosing the best execution plan.

NEW QUESTION # 124
In Apache Airflow, what is the purpose of setting max_active_runs in a DAG's configuration?

A. To specify the maximum number of DAG runs that can be executed in parallel.
B. To control the number of retries for a failed task.
C. To determine the maximum number of DAG files that can be parsed at any given time.
D. To limit the number of task instances that can run concurrently within the DAG.

Answer: A

Explanation:
The max_active_runs setting in a DAG's configuration limits the number of DAG runs that can be executed concurrently. This is useful for controlling resource utilization and ensuring that the Airflow instance does not get overwhelmed by too many parallel executions of the same DAG.

NEW QUESTION # 125
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