Data Formats Parquet ORC Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering Data Ingestion

Data Formats Parquet ORC Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    Which of the following best describes the primary structural advantage of both Parquet and ORC compared to CSV files?

  2. 2

    You are designing a data lake architecture for a Hadoop-based ecosystem where Hive is the primary query engine. Which format is generally considered the 'native' choice for Hive to achieve the best performance?

  3. 3

    Which of the following scenarios best justifies choosing Apache Parquet over ORC?

  4. 4

    Both Parquet and ORC utilize 'predicate pushdown'. What does this feature accomplish during data ingestion?

  5. 5

    When configuring a Spark job to write a Parquet file, you notice the resulting output consists of thousands of tiny files. What is the most significant technical drawback of this 'small file problem' in columnar formats?