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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. A data engineer is deploying a Spark application on a Kubernetes cluster. To minimize downtime during updates, which Kubernetes deployment strategy should be considered?

A) Pod Autoscaling
B) Node Affinity
C) Rolling Updates
D) Persistent Volumes

2. You are developing a PySpark application that processes a large dataset. Your application involves a transformation that requires shuffling data across the Executors. Which of the following responsibilities of the Spark Driver is most directly involved in this process?

A) Interpreting the user application and creating an execution plan.
B) Managing the lifecycle of Executor pods in Kubernetes.
C) Managing the shuffling and aggregation of data across Executors.
D) Monitoring the progress and status of tasks on the Executors.

3. What is the impact of query vectorization in Cloudera's Optimization Framework?

A) It encrypts query results for security
B) It improves query performance by processing batches of rows together
C) It enables the execution of SQL commands
D) It slows down query execution by adding complexity

4. What happens when a task in Airflow is marked as "skipped"?

A) The skipped task's downstream tasks are also skipped, unless their conditions for execution are met independently.
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) Airflow retries the skipped task until it succeeds.

5. Which Spark SQL join strategy is selected by default when the Catalyst optimizer cannot determine the size of tables involved in a join?

A) BroadcastHashJoin
B) ShuffleHashJoin
C) CartesianJoin
D) SortMergeJoin

Solutions: