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Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're facing a schema mismatch between a Spark DataFrame and a Hive table when trying to write the DataFrame to the table. What are the potential causes and how can you address them?

A) Modify the Spark DataFrame schema to match the Hive table schema manually
B) Ignore the schema mismatch and write the data anyway, potentially leading to data corruption
C) Use HiveQL's ALTER TABLE statement to modify the Hive table schema
D) Leverage Spark SQL's schema inference capabilities to automatically adjust the DataFrame schema

2. Your team is deploying a Spark application on a Kubernetes cluster. To ensure high availability, you need to decide how many executor instances to configure. Which of the following configurations in your PySpark application would correctly set the number of executor instances?

A)

B)

C)

D)

3. You want to write the results of a Spark DataFrame operation to a Parquet file for efficient storage and retrieval. What approach can you achieve this efficiently?

A) Convert the DataFrame to a temporary table and then use HiveQL commands to write to Parquet
B) Use Spark SQL's CREATE TABLE statement with the Parquet format specified
C) Leverage the DataFrame.write.parquet() method with appropriate options
D) Use the DataFrame.write.text() method and specify the output format as Parquet

4. When configuring a Spark job to run on Kubernetes within the Cloudera Data Engineering (CDE. service, which property is crucial for specifying the Docker image to be used by the executors?

A) spark.kubernetes.container.image
B) spark.kubernetes.executor.container.image
C) spark.cde.container.image
D) spark.executor.image

5. Which of the following is a best practice for organizing tasks within a DAG in Apache Airflow?

A) Group tasks with similar functionalities using SubDAGs for better readability and maintainability.
B) Place all tasks directly in the root DAG to simplify monitoring and execution.
C) Use a single Pythonoperator to execute all tasks as functions for efficiency.
D) Dynamically generate tasks at runtime to avoid defining them explicitly in the DAG.

Solutions: