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Cloudera CDP Data Engineer - Certification Sample Questions:

1. In the context of Hive, what mechanism ensures that data is evenly distributed across buckets?

A) Natural key distribution
B) Manual data insertion scripts
C) A hash function applied to the bucketing column
D) External data balancing tools

2. 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) Leverage Spark SQL's schema inference capabilities to automatically adjust the DataFrame schema
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) Modify the Spark DataFrame schema to match the Hive table schema manually

3. A data analyst is performing a join operation in PySpark between a large DataFrame Clarge_df) and a much smaller DataFrame ('small_df). The process is very slow. What can the analyst do to optimize this join operation?

A) Increase the number of partitions in 'small_df'.
B) Utilize the 'broadcast' function in the join operation.
C) Use "key").
D) Apply before the join.

4. An Iceberg job fails with an "out of memory" error. Which Spark configuration changes might help? (Choose two)

A) Increase driver memory (spark.driver.memory)
B) Upgrade to a larger Kubernetes pod size.
C) Increase executor memory (spark.executor.memory)
D) Decrease the size of Spark partitions (spark.sql.shuffle.partitions)
E) Enable Spark broadcast joins

5. Consider a PySpark application that calculates the count of rows in a CSV file. The main application file is 'count_rows.py', and it uses a custom library 'data_utils.py'. After packaging, which 'spark-submit' command correctly submits this job including the custom library?

A) 'spark-submit --files data_utils.py count_rows.py'
B) 'spark-submit --archives data_utils.py count_rows.py'
C) 'spark-submit --jars data utils.py count_rows.py'
D) 'spark-submit -py-files data utils.py count_rows.py'

Solutions: