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Cloudera CDP Data Engineer - Certification Sample Questions:

1. You need to migrate a large Hive-managed table into an Iceberg table within CDP while minimizing downtime.
Which strategy would you consider?

A) Use the ALTER TABLE statement in Hive to convert the table format to Iceberg.
B) Utilize Iceberg's migration feature to automatically handle the conversion.
C) Create an external Iceberg table pointing to the existing Hive data and then use Iceberg's INSERT OVERWRITE to copy the data.
D) Export the data from Hive and reload directly into a new Iceberg table.

2. 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'?

A)

B)

C)

D)

3. In a Kubernetes environment, why is it beneficial to run the Spark Driver in its own pod?

A) To automatically scale the Driver based on workload.
B) To reduce the cost of cloud resources.
C) To isolate the Driver from Executor pods for security reasons.
D) To use a different programming language for the Driver.

4. Which of the following is true about the Airflow Webserver?
A It schedules and executes tasks.

A) It stores metadata about DAGs and their execution status.
B) It provides a user interface for DAG configuration and monitoring.
C) It is used exclusively for monitoring pipeline logs.

5. What is the recommended approach in Apache Airflow for ensuring data quality checks are performed after data is loaded into multiple target systems, which might complete their loading processes at different times?

A) Utilize a BranchPythonOperator to dynamically route the workflow based on system availability.
B) Implement multiple ExternalTaskSensor instances, each waiting for a specific loading task to complete.
C) Schedule the data quality checks at a fixed delay after the longest expected load time.
D) Use a CrossDagDep operator to manage dependencies across multiple DAGs.

Solutions: