A team is migrating a set of Spark jobs from an older Databricks runtime to a newer one. The jobs use a mix of Scala and Python and rely on a specific version of a third-party library. The team wants to ensure the library is available and the jobs run with the same behavior. Which configuration should they use?

Select the same Databricks runtime version as before and install the library as a cluster library.

Select the latest Databricks runtime and install the library as a cluster library.

Select a runtime with Photon enabled and install the library as a workspace library.

Select the latest Databricks runtime and use a notebook-scoped library.

A company has a policy that only the data engineering team can create new clusters, while data scientists can use existing clusters. What should the administrator configure to enforce this policy?

Set the 'Can Manage' permission for clusters to the data engineering team only.

Disable cluster creation for all users.

Set the 'Can Create' permission for clusters to the data engineering team only.

Set the 'Can Attach To' permission for clusters to the data scientists group.

A data engineer needs to install a Python library that is not included in the default Databricks Runtime. The library must be available to all notebooks attached to a specific cluster. What is the recommended way to install this library?

Add the library to the workspace root folder

Create a new cluster for each notebook

Use pip install within each notebook

Install the library on the cluster using the Libraries UI or API

A company runs a data processing workload that has unpredictable spikes in demand. They want to use a cluster that automatically adjusts the number of workers based on the workload, while keeping costs down during low-usage periods. Which configuration should they use?

Enable autoscaling with a minimum and maximum node count on an all-purpose cluster.

Use a fixed-size cluster with a high node count.

Use a job compute cluster without autoscaling.

Disable autoscaling and set a termination time of 1 hour.

Microsoft Certified:Azure Databricks Data Engineer Associate

Domain 1Objective 1

Select and Configure Compute in a Workspace DP-750 Practice Questions (Page 2)

Part of the Set up and configure an Azure Databricks environment domain, which accounts for 15–20% of the DP-750 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~8–16 in this domain), expect 4–8 from this objective — we provide 27 practice questions to prepare you well beyond it. (estimate)

27questions here

6free pages

5concepts

15–20%of the exam

Questions 6–10

6application · medium
A team is migrating a set of Spark jobs from an older Databricks runtime to a newer one. The jobs use a mix of Scala and Python and rely on a specific version of a third-party library. The team wants to ensure the library is available and the jobs run with the same behavior. Which configuration should they use?
Select an answer first
7application · medium
A company has a policy that only the data engineering team can create new clusters, while data scientists can use existing clusters. What should the administrator configure to enforce this policy?
Select an answer first
8foundation · easy
A data engineer wants to reduce the startup time for a cluster by pre-provisioning a set of idle virtual machines that can be quickly attached to a cluster. Which Azure Databricks feature should the engineer use?
Select an answer first
9foundation · easy
A data engineer needs to install a Python library that is not included in the default Databricks Runtime. The library must be available to all notebooks attached to a specific cluster. What is the recommended way to install this library?
Select an answer first
10application · medium
A company runs a data processing workload that has unpredictable spikes in demand. They want to use a cluster that automatically adjusts the number of workers based on the workload, while keeping costs down during low-usage periods. Which configuration should they use?
Select an answer first

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Select and Configure Compute in a Workspace DP-750 Practice Questions (Page 2)

Questions 6–10

A company has a policy that only the data engineering team can create new clusters, while data scientists can use existing clusters. What should the administrator configure to enforce this policy?

A data engineer wants to reduce the startup time for a cluster by pre-provisioning a set of idle virtual machines that can be quickly attached to a cluster. Which Azure Databricks feature should the engineer use?

A data engineer needs to install a Python library that is not included in the default Databricks Runtime. The library must be available to all notebooks attached to a specific cluster. What is the recommended way to install this library?

A company runs a data processing workload that has unpredictable spikes in demand. They want to use a cluster that automatically adjusts the number of workers based on the workload, while keeping costs down during low-usage periods. Which configuration should they use?

Keep studying — Set up and configure an Azure Databricks environment