Databricks and Apache Spark Quiz
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Questions and Answers

True or false: Delta Lake provides ACID transactional features to handle streaming and batch data processing?

True

What is the purpose of the Unity Catalog?

  • To facilitate AI and ML model DevOps lifecycle
  • To provide capabilities to secure data assets and govern data access (correct)
  • To add ACID transactional features and scalable metadata
  • To handle Streaming and batch data processing
  • True or false: The Unity Catalog is used to secure data assets and govern data access?

    True

    Which of the following is true about the Lakehouse platform?

    <p>It is based on Apache Spark and Delta Lake</p> Signup and view all the answers

    True or false: Photon Engine is written in Python?

    <p>False</p> Signup and view all the answers

    Who is the major contributor to Apache Spark?

    <p>Databricks</p> Signup and view all the answers

    Study Notes

    • Databricks is the promoter and major contributor to Apache Spark, and they built a cloud-native service, enhancing its capabilities over time.
    • The Lakehouse platform is based on Apache Spark and Delta Lake.
    • Delta Lake provides ways to add ACID transactional features and scalable metadata to handle Streaming and batch data processing.
    • Photon Engine is a query processing engine suitable for Adhoc, data engineering, and other range of workloads and written using C++ with built-in efficiencies.
    • MLOps facilitated AI and ML model DevOps lifecycle and built using open source ML Flow with major contributions from databricks.
    • The Unity Catalog provides capabilities to secure data assets and govern data access.

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    Description

    Test your knowledge about Databricks, Apache Spark, Delta Lake, Photon Engine, MLOps, and Unity Catalog with this quiz covering their features and capabilities.

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