JOIN MICROSOFT DP-700 TO CLINCH IN YOUR CERTIFICATION

JOIN Microsoft DP-700 TO CLINCH IN YOUR CERTIFICATION

JOIN Microsoft DP-700 TO CLINCH IN YOUR CERTIFICATION

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Tags: DP-700 Reliable Exam Pdf, DP-700 Related Content, Latest DP-700 Material, Exam DP-700 Reviews, New DP-700 Exam Labs

The web-based Microsoft DP-700 practice exam is compatible with all browsers like Chrome, Mozilla Firefox, MS Edge, Internet Explorer, Safari, Opera, and more. Unlike the desktop version, it requires an internet connection. The Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) practice exam will ask real Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) exam questions. Consistent practice with it relieves exam stress and boosts self-confidence. The web-based Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) practice exam does not require additional software installation. All operating systems also support this Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) practice test.

Microsoft DP-700 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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.

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Newest Microsoft DP-700 Practice Questions in PDF Format for Quick Preparation

The Desktop DP-700 Practice Exam Software contains real Microsoft DP-700 exam questions. This provides you with a realistic experience of being in an DP-700 examination setting. This feature assists you in becoming familiar with the layout of the Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) test and enhances your ability to do well on Prepare for your DP-700 examination.

Microsoft Implementing Data Engineering Solutions Using Microsoft Fabric Sample Questions (Q33-Q38):

NEW QUESTION # 33
You need to ensure that usage of the data in the Amazon S3 bucket meets the technical requirements.
What should you do?

  • A. Create a workspace identity and enable high concurrency for the notebooks.
  • B. Create a shortcut and ensure that caching is enabled for the workspace.
  • C. Create a shortcut and ensure that caching is disabled for the workspace.
  • D. Create a workspace identity and use the identity in a data pipeline.

Answer: C

Explanation:
To ensure that the usage of the data in the Amazon S3 bucket meets the technical requirements, we must address two key points:


NEW QUESTION # 34
You have a Fabric workspace that contains a lakehouse and a notebook named Notebook1. Notebook1 reads data into a DataFrame from a table named Table1 and applies transformation logic. The data from the DataFrame is then written to a new Delta table named Table2 by using a merge operation.
You need to consolidate the underlying Parquet files in Table1.
Which command should you run?

  • A. VACUUM
  • B. BROADCAST
  • C. CACHE
  • D. OPTIMIZE

Answer: D

Explanation:
To consolidate the underlying Parquet files in Table1 and improve query performance by optimizing the data layout, you should use the OPTIMIZE command in Delta Lake. The OPTIMIZE command coalesces smaller files into larger ones and reorganizes the data for more efficient reads. This is particularly useful when working with large datasets in Delta tables, as it helps reduce the number of files and improves performance for subsequent queries or operations like MERGE.


NEW QUESTION # 35
You are implementing a medallion architecture in a Fabric lakehouse.
You plan to create a dimension table that will contain the following columns:
* ID
* CustomerCode
* CustomerName
* CustomerAddress
* CustomerLocation
* ValidFrom
* ValidTo
You need to ensure that the table supports the analysis of historical sales data by customer location at the time of each sale Which type of slowly changing dimension (SCD) should you use?

  • A. Type 1
  • B. Type 0
  • C. Type 3
  • D. Type 2

Answer: D


NEW QUESTION # 36
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: B

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 # 37
You need to troubleshoot the ad-hoc query issue.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 38
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