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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 (A)

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 (A)

Which of the following is true about the Lakehouse platform?

It is based on Apache Spark and Delta Lake (A) Signup and view all the answers

True or false: Photon Engine is written in Python?

False (B) Signup and view all the answers

Who is the major contributor to Apache Spark?

Databricks (D) 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.