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Azure Databricks Flashcards

7 cards from real DP-900 practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. What is the Azure Databricks workspace?

    Answer: An environment that organizes notebooks, clusters, jobs, and data into a unified interface

    The Azure Databricks workspace is a unified environment that organizes assets such as notebooks, clusters, jobs, libraries, and data, enabling team collaboration.

  2. Which feature of Delta Lake allows users to query data as it existed at a previous point in time?

    Answer: Time travel

    Delta Lake's time travel feature uses a transaction log to let users query historical versions of data using a timestamp or version number.

  3. What is MLflow in the context of Azure Databricks?

    Answer: An open-source platform for managing the machine learning lifecycle including experiments and model registry

    MLflow is an open-source platform integrated into Azure Databricks that helps manage the ML lifecycle, including experiment tracking, model versioning, and deployment.

  4. How are Azure Databricks clusters billed?

    Answer: Based on Databricks Units (DBUs) consumed during cluster operation

    Azure Databricks uses a consumption-based model where you are billed for Databricks Units (DBUs), which represent processing capability per hour, combined with underlying VM costs.

  5. What is a Databricks Job?

    Answer: A scheduled or triggered execution of a notebook or JAR on a cluster

    A Databricks Job is a way to schedule or trigger the automated execution of notebooks, Python scripts, or JAR files on a cluster for production workloads.

  6. Which two types of clusters does Azure Databricks offer?

    Answer: All-purpose clusters and job clusters

    Azure Databricks offers all-purpose clusters for interactive development and collaboration, and job clusters that are created for a single job and terminated after the job completes.

  7. What file format does Delta Lake use to physically store data?

    Answer: Parquet

    Delta Lake stores data in Parquet file format, which is a columnar storage format optimized for analytics workloads, combined with a transaction log for ACID compliance.