DP-900 Azure Databricks

Question 1

Azure Databricks is primarily built on which open-source distributed computing framework?

Accepted Answer

Apache Spark

Answer

Apache Hadoop

Answer

Apache Kafka

Answer

Apache Flink

Question 2

What collaborative feature do Azure Databricks workspaces provide for data teams?

Accepted Answer

Interactive notebooks supporting multiple languages

Answer

Shared SQL Server instances

Answer

Shared Power BI dashboards

Answer

Shared Azure DevOps pipelines

Question 3

Which data storage layer within Azure Databricks provides ACID transaction support and versioning for data lakes?

Accepted Answer

Delta Lake

Answer

Azure Blob Storage

Answer

Azure Data Factory

Answer

Azure Table Storage

Question 4

What is an Azure Databricks cluster?

Accepted Answer

A set of computation resources used to run notebooks and jobs

Answer

A group of Azure virtual networks

Answer

A collection of Azure SQL databases

Answer

A group of Azure Blob Storage containers

Question 5

Which programming languages are natively supported in Azure Databricks notebooks?

Accepted Answer

Python, Scala, SQL, and R

Answer

Python, Java, C#, and Go

Answer

Python, JavaScript, TypeScript, and Ruby

Answer

SQL, T-SQL, PL/SQL, and MySQL

Question 6

How does Azure Databricks integrate with Azure Data Lake Storage Gen2?

Accepted Answer

It can mount ADLS Gen2 as a file system or access it directly via Spark

Answer

It cannot connect to Azure Data Lake Storage Gen2

Answer

It requires a dedicated Azure Data Factory pipeline to read data

Answer

It only supports reading data, not writing to ADLS Gen2

Question 7

What is the primary advantage of using Azure Databricks for large-scale data processing compared to a single-node approach?

Accepted Answer

Ability to process data in parallel across multiple nodes

Answer

Lower storage costs

Answer

Built-in data visualization

Answer

Native integration with Excel