Cloudera CDP Data Engineer - Certification : CDP-3002

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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. When deploying a Spark application in Kubernetes, what is the purpose of specifying the '-conf spark.kubernetes.driver.pod.name=spark-driver-pod' in the 'spark-submit' command?

A) To define the Docker image for the Driver pod.
B) To assign a specific node for the Driver pod.
C) To name the Executor pods.
D) To specify the name of the Spark Driver pod.

2. How does Spark handle data shuffling during distributed processing?

A) By transferring only required data between executors
B) By broadcasting all data to each executor
C) Spark doesn't perform data shuffling
D) By storing all data on a single node

3. When performing a bucketed join between two tables, what must be true for the join to be executed as a map-side join, thereby maximizing performance?

A) Both tables must be partitioned, not bucketed, on the join columns.
B) Only one table needs to be bucketed, regardless of the bucket count.
C) Both tables must be bucketed on the join columns with a different number of buckets.
D) Both tables must be bucketed on the join columns with the same number of buckets and the same hash function.

4. In a distributed environment like Apache Spark, under what conditions might a sort merge join perform more efficiently than a broadcast join?

A) When one of the datasets is significantly larger than the other, and broadcasting the smaller dataset would lead to excessive memory usage.
B) When both datasets are large, roughly equal in size, and already partitioned on the join key.
C) When both datasets are small enough to fit into the memory of a single node.
D) Whenever there is sufficient network bandwidth to handle data shuffling.

5. What does the appearance of "Filter Early" in an Explain Plan suggest about the execution strategy of a SQL query in Cloudera's SQL engines?

A) It suggests that the query optimizer has chosen to apply filtering operations as early as possible to reduce data volume
B) It means that all filtering operations are applied after join operations
C) It signals that the query will bypass filtering operations to improve performance
D) It indicates that filtering operations are postponed until the end of the query execution

Solutions: