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Free PDF 2025 Cloudera CDP-3002: Marvelous CDP Data Engineer - Certification Exam Exam Online

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Cloudera CDP Data Engineer - Certification Exam Sample Questions (Q199-Q204):

NEW QUESTION # 199
A team is planning to use PySpark to read data from an Apache Cassandra database. Which of the following options correctly demonstrates how to load data from a Cassandra table named in the keyspace 'sales'?

Answer: D

Explanation:
Option B is correct as it uses the specific format for Cassandra ('org.apache.spark.sql.cassandra') and correctly specifies the keyspace and table options.

NEW QUESTION # 200
What is a potential downside of overly granular partitioning in Hive tables?

A. Simplified data management
B. Increased data security
C. Reduced query performance due to metadata overhead
D. Automatic data deduplication

Answer: C

Explanation:
Overly granular partitioning in Hive tables can lead to a large number of partitions, which increases the metadata that Hive needs to manage. This can negatively impact query performance because Hive must load and process this extensive metadata before executing queries, potentially leading to slower response times.

NEW QUESTION # 201
You have a PySpark application packaged as 'MyPySparkApp-0. I-py3-none-any.whl'. In your 'app.py', you utilize a function from an external library, 'numpy', listed in your 'requirements.txt'. How should you deploy this application to ensure 'numpy' is available at runtime?

A. Upload both 'app.py' and 'MyPySparkApp-0.1-py3-none-any.whl' and submit using 'spark-submit --py-files MyPySparkApp-0.1-py3-none- any.whl app.py'.
B. Upload 'MyPySparkApp-0.1-py3-none-any.whl' only and submit using 'spark-submit --py-files MyPySparkApp-0.1-py3-none-any.whl'.
C. Upload 'app.py' and manually install 'numpy' on all nodes before submitting using 'spark-submit app.py'.
D. Upload 'app.py' only and submit using 'spark-submit app.py'.

Answer: A

Explanation:
The application 'app.py' depends on the 'numpy' library, which is packaged in the wheel file 'MyPySparkApp-0.1-py3-none- any.whl'. Therefore, both the application file and the wheel file need to be uploaded. The application is then submitted with the '-- py-files' option to include the wheel file, ensuring 'numpy' is available at runtime.

NEW QUESTION # 202
In Airflow, what is a Hook used for?

A. To define the execution order of tasks
B. To visualize task execution and logs
C. To connect to external systems and databases
D. To retry failed tasks automatically

Answer: C

Explanation:
Hooks in Apache Airflow are interfaces to external systems and databases, allowing for easy connection and interaction with these systems as part of a task. They abstract away the connection details, providing a consistent and simplified API for tasks to access external data sources or services.

NEW QUESTION # 203
How does Apache NiFi support schema inference during data flow management?

A. Utilizing external schema repositories exclusively for schema management
B. By enforcing static schemas for all data flows
C. Through processors that automatically detect data formats and schemas
D. By manually specifying schemas for each data source

Answer: C

Explanation:
Apache NiFi supports schema inference through its processors that can automatically detect and apply schemas to the data as it flows through the system. This capability allows NiFi to manage data flows more dynamically, accommodating various data formats and schemas without requiring manual specification for each data source, thus enhancing flexibility in data ingestion and processing.

NEW QUESTION # 204
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