Databricks Fundamentals
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Questions and Answers

What technology does Delta Lake NOT offer?

  • Data encryption (correct)
  • Predictive optimization
  • Scalable metadata handling
  • Liquid clustering

    • Which of the following features is provided by the Unity catalog?

  • Batch processing support
  • Scalable data storage
  • Automated monitoring (correct)
  • Liquid clustering

    • What aspect does the Databricks Data Intelligence platform combine with the Data Lakehouse?

  • Data replication
  • Traditional databases
  • AI-driven analytics (correct)
  • Big data analytics

    • Which feature is NOT part of Delta Lake's capabilities?

    <p>Columnar storage</p> Signup and view all the answers

    The control plane primarily manages which of the following?

    <p>Web application settings</p> Signup and view all the answers

    In the context of Databricks, what does the data plane refer to?

    <p>Physical storage and clusters</p> Signup and view all the answers

    Which capability is NOT supported by the Databricks clean rooms?

    <p>Public data sharing</p> Signup and view all the answers

    Which of the following best describes a feature of Delta sharing?

    <p>Sharing between organizations</p> Signup and view all the answers

    How does the Unity catalog enhance data management?

    <p>By providing fine-grained access controls</p> Signup and view all the answers

    Which of the following is NOT a feature of Delta Lake?

    <p>Data encryption techniques</p> Signup and view all the answers

    Which compliance certifications are directly associated with Databricks?

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

    What feature does Serverless computation provide in Databricks?

    <p>Automatic scaling of resources</p> Signup and view all the answers

    What is the primary goal of the Photon engine?

    <p>Accelerate data and analytics workflows</p> Signup and view all the answers

    Which of the following is NOT a feature of Databricks SQL?

    <p>Manual debugging processes</p> Signup and view all the answers

    What does the Delta Live Tables feature provide?

    <p>Automated streaming ingestion and transformation</p> Signup and view all the answers

    What does DatabricksX allow users to do?

    <p>Build and train custom LLMs</p> Signup and view all the answers

    Which feature is part of orchestration in Databricks?

    <p>Intelligent ETL processes</p> Signup and view all the answers

    Which technology does Databricks primarily use to streamline data analysis?

    <p>Text-to-SQL capabilities</p> Signup and view all the answers

    What type of support does Databricks provide for data privacy and compliance?

    <p>Support for specific compliance such as HIPAA and GDPR</p> Signup and view all the answers

    Which aspect of data science and AI does Databricks emphasize?

    <p>Quick production deployment of models</p> Signup and view all the answers

    Study Notes

    Data Lakehouse Paradigm

    • Emphasizes unified security, governance, and cataloging for data.
    • Offers a unified data storage approach for reliability and sharing.
    • Uses Delta Lake for data storage, a file-based open-source format providing ACID transactions, scalable data and metadata handling, audit history, schema enforcement, and support for various operations.
    • Leverages Unity Catalog for data discovery, classification, user management, access control, data lineage, automated monitoring, auditing, and data sharing.

    Databricks Data Intelligence Platform

    • Combines the Data Lakehouse paradigm with advanced AI capabilities.
    • Offers Databricks AI, Delta Live Tables (ETL), Workflows (Orchestration), and Databricks SQL (Data Warehousing) components.
    • These components are supported by the Data Intelligence Engine, Unity Catalog, and Delta Lake.

    Databricks Data Governance

    • Implements robust data governance through:
      • Unity Catalog for centralized governance and security.
      • Delta Sharing for secure data sharing between organizations.
      • Databricks Marketplace for commercialization of datasets.
      • Databricks Clean Rooms for private, secure computing environments fostering collaboration.

    Control Plane and Data Plane

    • Control Plane encompasses:
      • The web application interface.
      • Configurations, notebooks, repositories, and Databricks SQL.
      • Cluster management.
    • It manages security for the Data Plane.
    • Data Plane consists of clusters and cloud storage.
    • Includes data encryption measures for data at rest and in motion.

    Compliance

    • Databricks adheres to various compliance standards including SOC 2 Type II, ISO 27001, ISO 27017, ISO 27018, FedRAMP High, HITRUST, HIPAA, and PCI.
    • It is ready for GDPR and CCPA compliance.

    Serverless Data Plane

    • Offers serverless computation capabilities for cost reduction, improved productivity, and increased efficiency.
    • Provides elastic scalability, automatically scaling up and down based on demand.
    • Introduces three-layer isolation with data encryption for enhanced security.

    Photon

    • A query engine designed to accelerate data and analytics workflows.
    • Utilizes Delta/Parquet data formats and delivers data in the same formats.
    • Compatible with Spark APIs for seamless integration.
    • Aims to accelerate data and analytics workflows, particularly useful for SQL-based jobs, IoT use cases, data privacy and compliance, and loading data into Delta and Parquet formats.

    Databricks SQL

    • Simplifies data analysis through its text-to-SQL feature, auto-generating code/queries, and assisting with problem diagnosis and solutions.
    • Integrates with Unity Catalog for enhanced data management.
    • Provides optimal TCO, performance, and intelligent workloads for Data Warehousing.
    • Offers elastic allocation of resources for flexible scaling.

    Orchestration

    • Workflows facilitate intelligent ETL processes, AI-driven debugging, end-to-end monitoring, and seamless integration with a broad ecosystem.

    Delta Live Tables

    • Enables automated and scalable streaming ingestion and transformation processes.
    • Provides automated autoscaling for efficient resource management.
    • Features intelligent orchestration, error handling, and optimization.
    • Offers automated checkpoints for restarting interrupted processes and incremental data refresh functionality.

    Data Science and AI

    • Allows secure model training, rapid model deployment to production, and cost-effective deployment of Large Language Models (LLMs).
    • Supports custom models, model serving, RAGs (Retrieval-Augmented Generation), MLOps (ML Flow), AutoML, monitoring, and governance.

    DatabricksX

    • Empowers users to build their own LLMs, train models, and perform RAGs cost-effectively.

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