最新のCDP-3002問題集で試験を準備する

Cloudera CDP-3002 試験概要:

Cloudera CDP-3002 試験シラバストピック:

Cloudera CDP Data Engineer - Certification 認定 CDP-3002 試験問題：

1. Which component of the Cloudera Data Engineering service is responsible for managing and scheduling data pipelines?

A) Cloudera Navigator
B) CDH Management Console
C) Cloudera Scheduler
D) Cloudera Manager

2. Which Spark SQL join strategy is selected by default when the Catalyst optimizer cannot determine the size of tables involved in a join?

A) BroadcastHashJoin
B) CartesianJoin
C) ShuffleHashJoin
D) SortMergeJoin

3. In the context of improving join performance in Spark, what does "salting" involve?

A) Physically co-locating related data on the same node
B) Encrypting the data before performing a join
C) Adding a random prefix to keys to distribute skewed data more evenly
D) Seasoning the data with random noise for privacy

4. You're designing a schema for an Iceberg table that will store time-series sensor dat a. Which of the following considerations is most important for optimal query performance and storage efficiency?

A) Partitioning the data by both sensor ID and timestamp.
B) Using nested structs to represent the complex structure of sensor readings.
C) Normalizing sensor data across multiple tables to reduce redundancy.
D) Pre-aggregating sensor data at hourly intervals before inserting into the Iceberg table.

5. You're developing a Spark application with multiple stages, and you want to ensure that later stages only start processing after all data from the previous stage is complete. How can you achieve this dependency management in Spark?

A) Set appropriate configuration for spark.sql.shuffe.partitions
B) Use explicit rdd.persist() calls in each stage
C) Leverage Spark's lineage tracking and stage boundaries
D) Implement custom logic to track completion of each stage

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