Cloudera CDP-3002 Exam : CDP Data Engineer - Certification Exam

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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. What does setting the Spark configuration parameter spark.sql.shuffle.partitions impact?

A) The serialization format of data
B) The memory allocation for executor instances
C) The compression codec used for shuffle files
D) The default level of parallelism for joins and aggregations

2. You've deployed a Spark application using CDE that works heavily with Iceberg tables. To optimize performance, you want to ensure effective use of Kubernetes resources. Which of the following strategies helpful? (Choose two)

A) Leverage Kubernetes taints and tolerations to dedicate specific nodes to Iceberg workloads.
B) Implement Kubernetes liveness and readiness probes for your Spark driver and executor pods.
C) Set pod anti-affinity rules to prevent multiple Spark tasks from being scheduled on the same node.
D) Always use the latest available version of Spark.
E) Configure dynamic resource allocation for your Spark executors.

3. How does Hive handle bucketing when the data inserted into a bucketed table does not evenly distribute across the buckets?

A) Hive dynamically adjusts the number of buckets to evenly distribute the data.
B) Hive distributes the data based on the hash value of the bucketing column, potentially leading to skewed buckets.
C) Hive rejects the data insertion and raises an error.
D) Hive automatically rebalances the data across buckets using a round-robin distribution.

4. What is the correct way to define a start date for a DAG in Apache Airflow, ensuring that the DAG does not trigger immediately upon deployment?

A) Set the start date to a future date using the datetime module.
B) Leave the start date undefined.
C) Use datetime.now() as the start date.
D) Use ) to automatically set the start date to one day before the current date.

5. How can you ensure that a set of tasks in an Airflow DAG are executed in parallel after a specific initial task is completed?

A) Use the parallelism parameter in the airflow.cfg file
B) Set depends_on_past=True for all tasks
C) Use the SequentialExecutor
D) Use the ]] and [[ operators to set task dependencies

Solutions: