How does the Cloudera Data Engineering service integrate with cloud storage solutions like Amazon S3 or Azure Blob Storage?

• A.Requires custom scripting for each cloud storage provider.
• B.Utilizes built-in connectors for seamless access.
• C.Requires manual configuration for each storage bucket.
• D.Not directly supported, requires external tools.

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In a PySpark application running on Kubernetes, you want to enable dynamic allocation of Executors. Which configuration setting is essential to turn on this feature?

• A.'spark.dynamicAllocation.enabled'
• B.'spark.kubernetes.dynamicAllocation.enabled'
• C.'spark.kubernetes.executor.dynamicAllocation'
• D.'spark.executor.instances'

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You want to write the results of a Spark DataFrame back to a Hive table. How can you achieve this efficiently?

• A.Convert the DataFrame to a temporary table and then use HiveQL operations
• B.Use the DataFrame.write.saveAsTable("table_name") method
• C.Implement a custom function to write individual rows to the Hive table
• D.Use the hiveContext.sql("lNSERT INTO table_name SELECT FROM df') method

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How can you use Apache Airflow to ensure a data quality check stops the workflow if it fails, without failing subsequent tasks that are not dependent on the data quality check?

• A.Use the BranchPythonOperator to split the workflow conditionally.
• B.Use the ShortCircuitOperator with a condition that returns False if the check fails.
• C.Set trigger_rule='all_done' on subsequent tasks.
• D.Use the TaskGroup with trigger_rule='one_failed' for the data quality check task.

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You're implementing a data quality process for Iceberg tables in CDP Which of the following Iceberg features can help you enforce constraints and detect data anomalies? (Choose two)

• A.Snapshots
• B.Iceberg table constraints (not yet fully supporteD.
• C.Partitioning
• D.Manifest files
• E.Metadata tables

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