CDP Data Engineer - Certification Exam CDP-3002 exam vce dumps preparation

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Cloudera CDP Data Engineer - Certification Sample Questions:

1. Which of the following commands is used to install PySpark in your development environment?

A) yarn add pyspark
B) npm install pyspark
C) pip install pyspark
D) brew install pyspark

2. You want to use Spark to perform aggregations on data stored in Hive tables. How can you achieve this efficiently and seamlessly?

A) Implement custom UDFs (User-Defined Functions) in Spark for complex aggregations
B) Write custom aggregation logic using Spark functions and loop through the entire DataFrame
C) Leverage Spark SQL's built-in aggregation functions like SUM and COUNT
D) Use HiveQL's aggregation capabilities and then convert the results back to a Spark DataFrame

3. Which Spark configuration parameter should be increased to improve performance when dealing with large broadcast variables?

A) spark.broadcast.blockSize
B) spark.default.parallelism
C) spark.executor.memory
D) spark.driver.memory

4. Explain the concept of lineage tracking in Spark and its benefits for fault tolerance and debugging.

A) Both A and B.
B) Lineage tracks the dependencies between data transformations, enabling efficient re-execution on failures.
C) Lineage allows for caching intermediate results, improving performance.
D) It creates a log of all operations performed on data, aiding in debugging issues.

5. You want to schedule your Airflow DAG to run every hour, starting at midnight (00:00). How can you achieve this scheduling configuration?

A) Use the cron expression "@hourly".
B) Set the schedule_interval parameter to "0 0 ".
C) Define a custom Python function to schedule the DAG at the desired time.
D) Utilize Airflow triggers to initiate the DAG execution at midnight.

Solutions: