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  1. Home
  2. Cloudera Certification
  3. CDP-3002 Exam
  4. Cloudera.CDP-3002.v2025-11-21.q109 Dumps
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Question 21

Your project involves integrating Spark with a NoSQL database, MongoDB. You need to write a DataFrame 'df into a MongoDB collection named 'orders'. Which PySpark code snippet correctly achieves this?

Correct Answer: B
Option B is correct as it uses the official MongoDB Spark connector C com.mongodb.spark.sql') and specifies the URI correctly, pointing to the MongoDB collection.
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Question 22

For a Hive table that is both partitioned and bucketed, what considerations must be taken into account to optimize a join query involving this table?

Correct Answer: C
For a Hive table that is both partitioned and bucketed, optimizing a join query involves aligning both the partitioning and bucketing columns with the join columns where possible. This alignment allows Hive to leverage both partition pruning and bucketing strategies to reduce the amount of data scanned and processed during the join. By ensuring that the join operation can take advantage of both partitioning (to eliminate irrelevant partitions) and bucketing (to facilitate efficient join strategies like map-side joins), query performance can be significantly improved.
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Question 23

Which command line tool is essential for interacting with Cloudera's Hadoop ecosystem for file operations?

Correct Answer: C
The Hadoop fs command line tool is essential for interacting with Cloudera's Hadoop ecosystem for performing file operations. It provides a wide array of functionalities to access and manage files on the Hadoop Distributed File System (HDFS), enabling users to list, copy, move, and delete files, among other operations, directly from the command line.
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Question 24

Which approach can help mitigate issues with schema inference for complex data types in a big data environment?

Correct Answer: D
Combining schema inference with schema evolution and the ability for users to define or adjust schemas for complex datasets offers a flexible approach to managing data. Schema inference provides an initial understanding of the data structure, schema evolution allows the schema to adapt to changes over time, and user-defined schemas enable precise control over complex data types, ensuring accurate and efficient data processing.
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Question 25

In Apache Airflow, what is the purpose of setting max_active_runs in a DAG's configuration?

Correct Answer: B
The max_active_runs setting in a DAG's configuration limits the number of DAG runs that can be executed concurrently. This is useful for controlling resource utilization and ensuring that the Airflow instance does not get overwhelmed by too many parallel executions of the same DAG.
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