Which Apache Airflow feature should be used to parameterize a DAG run for running data quality checks on different datasets dynamically?

• A.XComs
• B.Jinja templating
• C.Airflow Variables
• D.Custom Execution Context

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You need to filter a Spark DataFrame based on multiple conditions. How can you achieve this efficiently and concisely?

• A.Use multiple filter() calls with individual conditions
• B.Leverage chained filter() calls with logical operators like AND and OR
• C.Implement custom filtering logic using loops and conditional statements
• D.Use Spark SQL's WHERE clause with a complex expression

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You need to optimize the performance of a Spark query that involves joining data from multiple Hive tables. What strategies can you employ to improve efficiency?

• A.Increase the number of Spark executors without any further optimization
• B.Use broadcast joins for small tables involved in the join operation
• C.Pre-partition tables based on the join columns for faster data co-location
• D.All of the above

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For scripting and automation purposes, how can Cloudera's CLI tools be integrated into administrative workflows?

• A.By creating custom plugins for web browsers to manage Cloudera services.
• B.Incorporating CLI commands into shell scripts or automation tools like Ansible, Chef, or Puppet.
• C.Using exclusively manual CLI commands for each task without automation.
• D.CLI tools cannot be integrated into administrative workflows; they are only for interactive use.

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What is the role of a Spark driver in a distributed processing job?

• A.Manages communication between executors and workers
• B.Coordinates tasks across the cluster
• C.Stores and processes intermediate data
• D.Performs computations on individual data partitions

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