Which statement accurately describes a key feature of Azure Databricks?

It is a data integration service for moving data between on-premises and cloud.

It provides a fully managed Apache Spark environment with collaborative workspaces.

It is primarily used for real-time messaging and event streaming.

It is a serverless SQL database for transactional workloads.

A manufacturing company uses Azure Databricks to process sensor data. They need to run a Spark job that transforms data every hour. They want to minimize costs by not having a running cluster when no jobs are active. What should they configure?

Use a job cluster that terminates after the job completes

Use an interactive cluster with autoscaling

Microsoft Certified:Azure Data Fundamentals

Domain 4Objective 1

Describe Common Elements of Large-Scale Analytics DP-900 Practice Questions (Page 6)

Part of the Describe an analytics workload on Azure domain, which accounts for 25–30% of the DP-900 exam. Microsoft does not publish an official question count, but from its 45-minute exam (~20–30 total, ~5–9 in this domain), expect 2–3 from this objective — we provide 35 practice questions to prepare you well beyond it. (estimate)

35questions here

7free pages

6concepts

25–30%of the exam

Questions 26–30

26foundation · easy
A data engineering team is designing an ingestion process for a new analytics platform. The source systems generate millions of events per second, and the team must ensure the ingestion layer can handle this rate without data loss. Which characteristic of the data is the primary concern in this scenario?
Select an answer first
27foundation · easy
Which statement accurately describes a key feature of Azure Databricks?
Select an answer first
28expert · hard
A company ingests data from multiple sources with varying velocities: real-time sensor data, hourly batch files, and daily database exports. They want to use a single ingestion service to handle all these patterns. Which service should they use?
Select an answer first
29application · medium
A manufacturing company uses Azure Databricks to process sensor data. They need to run a Spark job that transforms data every hour. They want to minimize costs by not having a running cluster when no jobs are active. What should they configure?
Select an answer first
30foundation · easy
A data engineer needs to orchestrate and automate data movement and transformation pipelines that load data from multiple sources into an analytical store. Which Azure service is designed for this purpose?
Select an answer first

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Describe Common Elements of Large-Scale Analytics DP-900 Practice Questions (Page 6)

Questions 26–30

Which statement accurately describes a key feature of Azure Databricks?

A company ingests data from multiple sources with varying velocities: real-time sensor data, hourly batch files, and daily database exports. They want to use a single ingestion service to handle all these patterns. Which service should they use?

A manufacturing company uses Azure Databricks to process sensor data. They need to run a Spark job that transforms data every hour. They want to minimize costs by not having a running cluster when no jobs are active. What should they configure?

A data engineer needs to orchestrate and automate data movement and transformation pipelines that load data from multiple sources into an analytical store. Which Azure service is designed for this purpose?

Keep studying — Describe an analytics workload on Azure