DP-900 Azure Databricks 3

Question 1

Which of the following best describes the primary use case for Azure Databricks in an enterprise data platform?

Accepted Answer

Large-scale data engineering, machine learning, and collaborative analytics

Answer

Hosting transactional OLTP databases

Answer

Managing email and calendar data

Answer

Running traditional relational data warehouses

Question 2

What is Databricks Runtime?

Accepted Answer

A set of core components including Apache Spark and optimized libraries that run on Databricks clusters

Answer

A Python package manager for Databricks

Answer

The billing engine for Databricks usage

Answer

A container orchestration layer built on Kubernetes

Question 3

How does Azure Databricks differ from Azure Synapse Analytics Spark pools?

Accepted Answer

Azure Databricks is a standalone optimized Spark platform with advanced ML features, while Synapse Spark is integrated within a broader analytics workspace

Answer

Azure Databricks does not support Python, while Synapse does

Answer

Azure Databricks cannot read from Azure Data Lake, while Synapse can

Answer

Azure Databricks only supports batch processing, while Synapse supports streaming

Question 4

Which Azure Databricks feature enables multiple teams across data engineering, data science, and business analytics to work together?

Accepted Answer

Collaborative shared notebooks and workspace with role-based access

Answer

Azure Active Directory integration

Answer

Azure DevOps CI/CD pipelines

Answer

Azure Monitor dashboards

Question 5

What kind of data workloads is Azure Databricks designed to handle?

Accepted Answer

Both batch and streaming large-scale data processing

Answer

Only real-time streaming data

Answer

Only small datasets under 1 GB

Answer

Only structured relational data

Question 6

What is the relationship between Azure Databricks and Apache Spark?

Accepted Answer

Azure Databricks is a cloud-optimized platform built on and extending Apache Spark

Answer

Azure Databricks is a competitor to Apache Spark

Answer

Apache Spark is a feature inside Azure Databricks that can be disabled

Answer

Azure Databricks replaces Apache Spark with its own proprietary engine

Question 7

Which Azure service can Azure Databricks use for storing and sharing machine learning models in a governed registry?

Accepted Answer

Azure Machine Learning model registry

Answer

Azure Blob Storage model folders

Answer

Azure SQL Database model tables

Answer

Azure DevOps artifact feeds