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Databricks Data Engineer Associate exam dumps: questions 501 to 531 of 531

Page 6 of the free Databricks Data Engineer Associate question bank for the Databricks Certified Data Engineer Associate exam. Questions 501 to 531 are listed below, the first 5 in full with answers and explanations. Back to page 1 for the exam overview and FAQ.

Question bank last updated January 2025

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Free Databricks Data Engineer Associate practice questions

Questions 501 to 505 of 531

Pick an answer before you open the explanation. Each question also has its own page with a permalink.

Databricks Data Engineer Associate Question 501

Select 2

You are tasked with creating a Databricks all-purpose cluster that is Unity Catalog (UC)-enabled. Which of the following steps must be performed to ensure the cluster is correctly configured for Unity Catalog?

  1. A

    Enable Unity Catalog on the cluster by setting the cluster access control to 'Unity Catalog'.

  2. B

    Configure the cluster to use a Unity Catalog-enabled runtime version.

  3. C

    Ensure that the cluster's workspace is attached to a Unity Catalog metastore.

  4. D

    Assign appropriate permissions to the cluster using the Unity Catalog metastore.

  5. E

    Enable the 'Unity Catalog' option in the cluster advanced settings.

Show answer and explanation

Correct answers: B, C

Explanation

To create a Unity Catalog-enabled all-purpose cluster, it is essential to configure the cluster to use a Unity Catalog-compatible runtime and ensure that the workspace is attached to a Unity Catalog metastore. These steps ensure that the cluster can integrate with Unity Catalog for data governance and access control.

  • A. Incorrect.

    Unity Catalog cannot be enabled simply by setting cluster access control to 'Unity Catalog'. Clusters must use specific runtime versions and be attached to the correct metastore.

  • B. Correct.

    This is correct. A Unity Catalog-enabled runtime (such as a Databricks Runtime version 11.3 or newer with UC support) is required for the cluster to integrate with Unity Catalog.

  • C. Correct.

    This is correct. The cluster's workspace must be attached to a Unity Catalog metastore because Unity Catalog requires a metastore to manage data governance.

  • D. Incorrect.

    While permissions are necessary for accessing data in Unity Catalog, they are not a configuration step for enabling Unity Catalog on a cluster.

  • E. Incorrect.

    There is no 'Unity Catalog' option in the cluster's advanced settings. Unity Catalog is enabled via runtime versions and metastore configurations.

Databricks Data Engineer Associate Question 502

Select 4

You are tasked with creating a Databricks SQL (DBSQL) warehouse for your organization's analytics team. Which of the following steps are necessary to successfully create a DBSQL warehouse in Databricks?

  1. A

    Navigate to the 'SQL Warehouses' tab in the Databricks SQL interface.

  2. B

    Specify a name for the warehouse and configure the cluster size.

  3. C

    Manually configure the underlying compute resources in the Databricks workspace.

  4. D

    Define the auto-stop timeout to optimize resource usage.

  5. E

    Ensure that the SQL warehouse is assigned to a Databricks workspace.

Show answer and explanation

Correct answers: A, B, D, E

Explanation

Creating a DBSQL warehouse in Databricks involves navigating to the appropriate interface, assigning a name, configuring essential parameters like cluster size and auto-stop timeout, and ensuring the warehouse is assigned to a workspace. Databricks automatically manages the compute resources, so manual configuration of compute nodes is not required.

  • A. Correct.

    Correct: To create a DBSQL warehouse, you must navigate to the 'SQL Warehouses' tab in the Databricks SQL interface.

  • B. Correct.

    Correct: Providing a name and selecting the cluster size are required steps when creating a DBSQL warehouse.

  • C. Incorrect.

    Incorrect: Databricks automatically handles the underlying compute resources for DBSQL warehouses, so manual configuration is not necessary.

  • D. Correct.

    Correct: Setting the auto-stop timeout helps manage costs by automatically shutting down the warehouse after inactivity.

  • E. Correct.

    Correct: A DBSQL warehouse must be assigned to a Databricks workspace to be operational and accessible.

Databricks Data Engineer Associate Question 503

Select 4

You are tasked with creating a Databricks SQL Warehouse for a team of analysts who need to query data frequently. Which of the following steps should you take to successfully create and configure the SQL Warehouse?

  1. A

    Navigate to the SQL persona in the Databricks workspace and click 'SQL Warehouses'.

  2. B

    Click on 'Create SQL Warehouse', provide a name, and configure the cluster size based on workload requirements.

  3. C

    Ensure the SQL Warehouse is attached to a Unity Catalog-enabled catalog for data governance and access control.

  4. D

    Set up a Databricks cluster and manually configure it to act as a SQL Warehouse.

  5. E

    Enable auto-stop to save costs during periods of inactivity.

Show answer and explanation

Correct answers: A, B, C, E

Explanation

Creating a Databricks SQL Warehouse involves navigating to the SQL persona, configuring the warehouse with appropriate settings (such as name, cluster size, and auto-stop), and optionally attaching it to a Unity Catalog for better data governance. Manually configuring a cluster is not required, as SQL Warehouses are a distinct feature designed for SQL operations.

  • A. Correct.

    Correct: Accessing the SQL persona and navigating to 'SQL Warehouses' is the initial step to create a SQL Warehouse in Databricks.

  • B. Correct.

    Correct: Providing a name and configuring the cluster size are necessary steps during the creation of a SQL Warehouse.

  • C. Correct.

    Correct: Attaching the SQL Warehouse to a Unity Catalog-enabled catalog ensures proper data governance and access control, which is a recommended best practice.

  • D. Incorrect.

    Incorrect: A Databricks SQL Warehouse is not created by manually configuring a cluster; it is a separate feature designed specifically for SQL workloads.

  • E. Correct.

    Correct: Enabling auto-stop is a cost-saving option available during SQL Warehouse configuration to pause the warehouse during inactivity.

Databricks Data Engineer Associate Question 504

Select 4

You are tasked with creating a DBSQL warehouse in Databricks for your organization's analytics workloads. Which of the following steps are necessary to successfully create and configure a DBSQL warehouse?

  1. A

    Navigate to the SQL persona in Databricks and access the 'SQL Warehouses' tab.

  2. B

    Specify the desired cluster size and configure auto-scaling options.

  3. C

    Enable Delta Sharing to allow external data sharing with partners.

  4. D

    Set the warehouse to auto-stop after a specified period of inactivity.

  5. E

    Assign user and group permissions to the warehouse for controlled access.

Show answer and explanation

Correct answers: A, B, D, E

Explanation

Creating a DBSQL warehouse involves accessing the SQL persona, configuring the cluster size and scaling options, enabling cost-saving features like auto-stop, and setting access permissions. While Delta Sharing is a useful feature, it is not relevant to the process of creating or configuring a DBSQL warehouse.

  • A. Correct.

    Correct: Accessing the 'SQL Warehouses' tab under the SQL persona is the first step in creating a DBSQL warehouse.

  • B. Correct.

    Correct: Choosing the cluster size and enabling auto-scaling ensures the warehouse can handle varying workloads efficiently.

  • C. Incorrect.

    Incorrect: Delta Sharing is not required to create or configure a DBSQL warehouse; it is a separate feature for sharing data externally.

  • D. Correct.

    Correct: Setting the auto-stop feature prevents unnecessary costs by stopping the warehouse after inactivity.

  • E. Correct.

    Correct: Configuring user and group permissions ensures secure and controlled access to the warehouse.

Databricks Data Engineer Associate Question 505

Select 2

You are tasked with creating a Databricks SQL (DBSQL) warehouse to support your team's analytics workloads. Which of the following configurations must you specify when creating the DBSQL warehouse?

  1. A

    The size or cluster type of the SQL warehouse

  2. B

    The workspace region where the SQL warehouse will run

  3. C

    The name of the SQL warehouse

  4. D

    The maximum number of concurrent queries allowed for the SQL warehouse

  5. E

    The default catalog and schema to be used by the SQL warehouse

Show answer and explanation

Correct answers: A, C

Explanation

When creating a Databricks SQL warehouse, you must configure its size (to control performance and cost) and provide a name for identification. Other options, like setting a default catalog or maximum concurrent queries, are either optional or managed elsewhere in the Databricks environment.

  • A. Correct.

    Correct: When creating a DBSQL warehouse, you must specify the size or cluster type to determine the level of performance and cost for the warehouse.

  • B. Incorrect.

    Incorrect: The workspace region is determined by the Databricks workspace itself and does not need to be specified when creating a DBSQL warehouse.

  • C. Correct.

    Correct: Naming the SQL warehouse is a required step so that it can be identified and managed later.

  • D. Incorrect.

    Incorrect: The maximum number of concurrent queries is not a required configuration during creation; this is managed automatically based on the warehouse size.

  • E. Incorrect.

    Incorrect: Setting a default catalog and schema is optional and not part of the required configurations when creating a DBSQL warehouse.

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Databricks Data Engineer Associate practice questions 501 to 531 of 531

Every question has a page with the answer and explanation. Numbers are stable, so you can bookmark or share them. The bank is split into 6 pages of up to 100 questions.

  1. 501.You are tasked with creating a Databricks all-purpose cluster that is Unity Catalog (UC)-enabled. Which of...
  2. 502.You are tasked with creating a Databricks SQL (DBSQL) warehouse for your organization's analytics team. Which...
  3. 503.You are tasked with creating a Databricks SQL Warehouse for a team of analysts who need to query data...
  4. 504.You are tasked with creating a DBSQL warehouse in Databricks for your organization's analytics workloads....
  5. 505.You are tasked with creating a Databricks SQL (DBSQL) warehouse to support your team's analytics workloads....
  6. 506.You are a data engineer tasked with creating a Databricks SQL (DBSQL) warehouse to support a team of...
  7. 507.You are working with a Databricks platform where data is organized using a three-layer namespace: catalog,...
  8. 508.You are tasked with querying a table named salesdata stored in a three-layer namespace structure...
  9. 509.You are working on a Databricks project where data is organized in a three-layer namespace. The database is...
  10. 510.You are working on a Databricks project where you need to query a table using the three-layer namespace...
  11. 511.You are working in a Databricks workspace with a catalog named 'main', a schema named 'sales', and a table...
  12. 512.A data engineering team is tasked with setting up access control for a Delta table in Databricks. They want...
  13. 513.You are managing a Databricks workspace and need to ensure that only specific users have access to sensitive...
  14. 514.A data engineering team is tasked with ensuring that only specific users have access to sensitive data in a...
  15. 515.A data engineer is tasked with restricting access to a specific Delta table in a Databricks workspace to only...
  16. 516.You are tasked with implementing data object access controls in a Databricks workspace. Your goal is to...
  17. 517.A data engineering team is designing a Databricks workspace architecture for their organization. They plan to...
  18. 518.A data engineering team is setting up a Databricks workspace and needs to configure the workspace's metastore...
  19. 519.A data engineering team is setting up multiple Databricks workspaces for their organization, each in a...
  20. 520.You are setting up a new Databricks workspace in a multi-region environment and need to ensure optimal...
  21. 521.A data engineering team is setting up a new Databricks workspace for their organization. They are also...
  22. 522.You are configuring a Databricks workspace to allow a data pipeline to securely write data to an Azure Data...
  23. 523.You are configuring a secure connection between a Databricks workspace and an external cloud storage account....
  24. 524.You are tasked with setting up a secure connection between Databricks and an external data source. Your...
  25. 525.You are designing a Databricks job that needs to connect to an Azure Data Lake Storage Gen2 account to read...
  26. 526.You are setting up a production Databricks workspace where multiple applications need to access a data lake...
  27. 527.A company uses Databricks Unity Catalog to manage data access across its organization. The company has...
  28. 528.A company is using Databricks Unity Catalog to manage data access across various business units. As part of...
  29. 529.A data engineering team is designing a Databricks Unity Catalog implementation for a company with multiple...
  30. 530.A company is designing its data governance strategy in Databricks and wants to ensure that each business unit...
  31. 531.A company is using Databricks Unity Catalog to manage its data lake. The organization consists of multiple...

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