MCQ's for Azure Databricks

Azure Databricks is an analytics platform based on which of the following technologies?

• Apache Kafka

• Apache Hadoop

• Apache Spark

• Microsoft Power BI

Which of the following is NOT a component of the Databricks architecture?

• Workspace

• DBFS (Databricks File System)

• Workflow Manager

• Kubernetes Cluster

Which of the following features does the Azure Databricks compute engine NOT support?

• Machine Learning

• Data Engineering

• Real-Time Streaming

• Web Application Development

True or False: Azure Databricks provides ACID compliance and supports Delta Lake for transaction management.

• True

• False

What purpose does the DBFS (Databricks File System) serve in Azure Databricks?

• Stores structured data tables only

• Provides distributed storage for storing data files in Databricks workspaces

• Hosts workflows and pipelines

• Stores code notebooks only

What is a primary advantage of using Delta Lake in Azure Databricks?

• It provides caching capabilities for better performance

• It offers ACID transactions and time travel capabilities

• It enables secure access control using Azure AD

• It supports only real-time data processing

Yes/No: Can you configure different cluster sizes for different tasks in Azure Databricks?

• True

• False

In the Databricks architecture, which of the following best describes a Workspace?

• It is a distributed storage system for managing data.

• It is an environment where users can organize their notebooks, libraries, and experiments.

• It is a configuration interface for managing clusters only.

• It is used solely for job scheduling.

In a scenario where you need to upload a file and create a Delta table from it in Azure Databricks, which of these steps would NOT be necessary?

• Uploading the file to DBFS

• Defining a schema for the Delta table

• Writing data to the Delta table with the write command

• Registering the Delta table in the Azure Blob Storage account

What is Delta Lake in Azure Databricks?

• A tool for real-time data streaming

• A database management system

• A storage layer providing ACID transactions on Apache Spark

• A data visualization tool