Free PDF Quiz Authoritative Microsoft - Exam DP-700 Testking

Free PDF Quiz Authoritative Microsoft - Exam DP-700 Testking


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Microsoft DP-700 Exam Syllabus Topics:

  • Topic Details Topic 1 Implement and manage an analytics solution: This section of the exam measures the skills of Microsoft Data Analysts regarding configuring various workspace settings in Microsoft Fabric. It focuses on setting up Microsoft Fabric workspaces, including Spark and domain workspace configurations, as well as implementing lifecycle management and version control. One skill to be measured is creating deployment pipelines for analytics solutions.
  • Topic 2 Monitor and optimize an analytics solution: This section of the exam measures the skills of Data Analysts in monitoring various components of analytics solutions in Microsoft Fabric. It focuses on tracking data ingestion, transformation processes, and semantic model refreshes while configuring alerts for error resolution. One skill to be measured is identifying performance bottlenecks in analytics workflows.
  • Topic 3 Ingest and transform data: This section of the exam measures the skills of Data Engineers that cover designing and implementing data loading patterns. It emphasizes preparing data for loading into dimensional models, handling batch and streaming data ingestion, and transforming data using various methods. A skill to be measured is applying appropriate transformation techniques to ensure data quality.


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Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q69-Q74):

NEW QUESTION # 69

You need to schedule the population of the medallion layers to meet the technical requirements.

What should you do?

  • A. Schedule a notebook.
  • B. Schedule an Apache Spark job.
  • C. Schedule a data pipeline that calls other data pipelines.
  • D. Schedule multiple data pipelines.

Answer: C

Explanation:

The technical requirements specify that:

Medallion layers must be fully populated sequentially (bronze # silver # gold). Each layer must be populated before the next.

If any step fails, the process must notify the data engineers.

Data imports should run simultaneously when possible.

Why Use a Data Pipeline That Calls Other Data Pipelines?

A data pipeline provides a modular and reusable approach to orchestrating the sequential population of medallion layers.

By calling other pipelines, each pipeline can focus on populating a specific layer (bronze, silver, or gold), simplifying development and maintenance.

A parent pipeline can handle:

- Sequential execution of child pipelines.

- Error handling to send email notifications upon failures.

- Parallel execution of tasks where possible (e.g., simultaneous imports into the bronze layer).


NEW QUESTION # 70

You have two Fabric workspaces named Workspace1 and Workspace2.

You have a Fabric deployment pipeline named deployPipeline1 that deploys items from Workspace1 to Workspace2. DeployPipeline1 contains all the items in Workspace1.

You recently modified the items in Workspaces1.

The workspaces currently contain the items shown in the following table.


Items in Workspace1 that have the same name as items in Workspace2 are currently paired.

You need to ensure that the items in Workspace1 overwrite the corresponding items in Workspace2. The solution must minimize effort.

What should you do?

  • A. Run deployPipeline1 without modifying the items in Workspace2.
  • B. Rename each item in Workspace2 to have the same name as the items in Workspace1.
  • C. Delete all the items in Workspace2, and then run deployPipeline1.
  • D. Back up the items in Workspace2, and then run deployPipeline1.

Answer: A

Explanation:

When running a deployment pipeline in Fabric, if the items in Workspace1 are paired with the corresponding items in Workspace2 (based on the same name), the deployment pipeline will automatically overwrite the existing items in Workspace2 with the modified items from Workspace1. There's no need to delete, rename, or back up items manually unless you need to keep versions. By simply running deployPipeline1, the pipeline will handle overwriting the existing items in Workspace2 based on the pairing, ensuring the latest version of the items is deployed with minimal effort.


NEW QUESTION # 71

You have a Fabric deployment pipeline that uses three workspaces named Dev, Test, and Prod.

You need to deploy an eventhouse as part of the deployment process.

What should you use to add the eventhouse to the deployment process?

  • A. GitHub Actions
  • B. a deployment pipeline
  • C. an Azure DevOps pipeline

Answer: C

Explanation:

A deployment pipeline in Fabric is designed to automate the process of deploying assets (such as reports, datasets, eventhouses, and other objects) between environments like Dev, Test, and Prod. Since you need to deploy an eventhouse as part of the deployment process, a deployment pipeline is the appropriate tool to move this asset through the different stages of your environment.


NEW QUESTION # 72

You are implementing the following data entities in a Fabric environment:

Entity1: Available in a lakehouse and contains data that will be used as a core organization entity Entity2: Available in a semantic model and contains data that meets organizational standards Entity3: Available in a Microsoft Power BI report and contains data that is ready for sharing and reuse Entity4: Available in a Power BI dashboard and contains approved data for executive-level decision making Your company requires that specific governance processes be implemented for the data.

You need to apply endorsement badges to the entities based on each entity's use case.

Which badge should you apply to each entity? To answer, drag the appropriate badges the correct entities.

Each badge may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.


Answer:

Explanation:


Explanation:



NEW QUESTION # 73

You have a Fabric workspace that contains an eventhouse and a KQL database named Database1. Database1 has the following:

Policy1 sends data from Table1 to Table2.

The following is a sample of the data in Table2.


Recently, the following actions were performed on Table1:

You plan to load additional records to Table2.

Which two records will load from Table1 to Table2? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

  • A.

  • B.

  • C.

  • D.

Answer: A,B

Explanation:

Changes to Table1 Structure:

Impact of Changes:

Record B:

Accepted because it fully matches Table2's structure and data types.

Record D:

Accepted because it fully matches Table2's structure and data types.


NEW QUESTION # 74

......

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