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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. An Airflow DAG is designed to ingest data from multiple sources, transform it, and load it into a data warehouse. The transformation step is resource-intensive and should not run during peak hours (9 AM to 5 PM). How can you configure the DAG to meet this requirement?

A) Set the max_active_runs parameter to limit executions during peak hours.
B) Utilize the BranchPythonOperator to dynamically skip the transformation task during peak hours.
C) Configure the DAG's schedule interval and use the TimeDelta sensor for precise timing.
D) Use the time_sensor operator to delay the transformation task until off-peak hours.

2. What benefit does bucketing provide for join operations in Hive?

A) It enables cross-database joins by default.
B) It can reduce the cost of joins by enabling map-side joins.
C) It allows for the join condition to be omitted in queries.
D) It ensures data privacy by encrypting join keys.

3. What are the potential consequences of persisting all intermediate RDDs in Spark with the MEMORY ONLY storage level?

A) No impact on the application, as Spark manages memory efficiently
B) Increased risk of application crashes due to memory exhaustion
C) Improved performance due to faster data access
D) All intermediate data will be automatically persisted to disk

4. What is the significance of "Sort Merge Join" appearing in an Explain Plan in Cloudera's SQL engines?

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

5. How does dynamic schema inference impact the processing of streaming data in real-time analytics platforms?

A) It enables the platform to adapt to changes in data format without downtime.
B) It decreases the overall throughput of the analytics platform.
C) It significantly increases the latency of data processing operations.
D) It requires streaming data to be stored before its schema can be inferred.

Solutions: