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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. Considering Hive's optimization mechanisms, under which scenario might partition pruning fail to improve query performance?

A) When the table is partitioned on a column frequently used in query filters
B) When the partitioned table contains a small number of partitions
C) When querying data using the exact partition key in the WHERE clause
D) When querying data using a non-partition column as a filter

2. Your team is integrating PySpark with a MySQL database. You need to read data from a table named 'employees'. Which of the following PySpark code snippets correctly accomplishes this task?

A)

B)

C)

D)

3. How can you leverage Spark Streaming for real-time data processing and analytics?

A) Both A and B.
B) By defining a streaming DataFrame with a window function.
C) By utilizing Structured Streaming with Kafka as the source and sink.
D) By implementing custom logic for data ingestion, transformation, and output.

4. You notice a significant performance overhead when persisting a large RDD to disk. What potential factors could contribute to this, and how can you mitigate them?

A) Inefficient serialization format for the RDD data
B) All of the above
C) Insufficient disk space on the cluster nodes
D) Using HDFS as the storage location instead of local disks

5. After running a PySpark job, you want to analyze the performance and identify potential bottlenecks. Which tool should you use for this purpose?

A) Spark Web I-Jl.
B) PySpark SQL CLI.
C) PySpark DataFrame API.
D) Hadoop YARN ResourceManager.

Solutions: