Cloudera Certification CDP-3002

Unlimited use

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Simulation test system

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Cloudera CDP Data Engineer - Certification Sample Questions:

1. In Apache Spark, which of the following is the most effective strategy for minimizing data shuffling across nodes in a cluster?

A) Decreasing the number of partitions
B) Filtering data after a wide transformation
C) Using broadcast variables for small data
D) Increasing the number of partitions

2. You're working with a real-time streaming application using Spark Streaming. How can you ensure that your application gracefully handles late-arriving data and maintains data consistency?

A) Implement micro-batching with windowing and watermarking techniques
B) Ignore late-arriving data altogether
C) Recompute the entire stream from scratch for each late record
D) Use Spark's checkpointing functionality to recover from failures

3. Which of the following best describes the benefit of combining schema inference with manual schema specification in a data pipeline?

A) It offers a balance between flexibility and control, optimizing for both data exploration and consistent processing.
B) It reduces the diversity of data formats that can be processed.
C) It mandates that all data conform to a universal schema.
D) It eliminates the need for data serialization and deserialization.

4. You're implementing a data quality process for Iceberg tables in CDP Which of the following Iceberg features can help you enforce constraints and detect data anomalies? (Choose two)

A) Partitioning
B) Metadata tables
C) Manifest files
D) Iceberg table constraints (not yet fully supporteD.
E) Snapshots

5. Which of the following is true about persisting RDDs in Apache Spark?
A Persisting an RDD in memory allows for faster access but increases the risk of data loss.

A) Using MEMORY_ONLY_SER storage level reduces memory usage but increases CPU usage due to serialization.
B) It is not possible to persist an RDD using a combination of memory and disk.
C) Persisting an RDD to disk is generally recommended for all RDDs to prevent data loss.

Solutions: