DP-900 Azure Databricks 2

Question 1

What is the Azure Databricks workspace?

Accepted Answer

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

Answer

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

Question 2

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

Accepted Answer

Time travel

Answer

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

Question 3

What is MLflow in the context of Azure Databricks?

Accepted Answer

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

Answer

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

Question 4

How are Azure Databricks clusters billed?

Accepted Answer

Based on Databricks Units (DBUs) consumed during cluster operation

Answer

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.

Question 5

What is a Databricks Job?

Accepted Answer

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

Answer

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.

DP-900 Azure Data Practice Test

DP-900 Azure Data Practice Test

DP-900 Azure Databricks 2