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Microsoft DP-600 Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • Implement and manage semantic models: This section of the exam measures the skills of architects and focuses on designing and optimizing semantic models to support enterprise-scale analytics. It evaluates understanding of storage modes and implementing star schemas and complex relationships, such as bridge tables and many-to-many joins. Architects must write DAX-based calculations using variables, iterators, and filtering techniques. The use of calculation groups, dynamic format strings, and field parameters is included. The section also includes configuring large semantic models and designing composite models. For optimization, candidates are expected to improve report visual and DAX performance, configure Direct Lake behaviors, and implement incremental refresh strategies effectively.
Thema 2
  • Maintain a data analytics solution: This section of the exam measures the skills of administrators and covers tasks related to enforcing security and managing the Power BI environment. It involves setting up access controls at both workspace and item levels, ensuring appropriate permissions for users and groups. Row-level, column-level, object-level, and file-level access controls are also included, alongside the application of sensitivity labels to classify data securely. This section also tests the ability to endorse Power BI items for organizational use and oversee the complete development lifecycle of analytics assets by configuring version control, managing Power BI Desktop projects, setting up deployment pipelines, assessing downstream impacts from various data assets, and handling semantic model deployments using XMLA endpoint. Reusable asset management is also a part of this domain.
Thema 3
  • Prepare data: This section of the exam measures the skills of engineers and covers essential data preparation tasks. It includes establishing data connections and discovering sources through tools like the OneLake data hub and the real-time hub. Candidates must demonstrate knowledge of selecting the appropriate storage type—lakehouse, warehouse, or eventhouse—depending on the use case. It also includes implementing OneLake integrations with Eventhouse and semantic models. The transformation part involves creating views, stored procedures, and functions, as well as enriching, merging, denormalizing, and aggregating data. Engineers are also expected to handle data quality issues like duplicates, missing values, and nulls, along with converting data types and filtering. Furthermore, querying and analyzing data using tools like SQL, KQL, and the Visual Query Editor is tested in this domain.

>> DP-600 Lernressourcen <<

Microsoft DP-600 Prüfung Übungen und Antworten

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric DP-600 Prüfungsfragen mit Lösungen (Q102-Q107):

102. Frage
Hotspot Question
You have a Fabric tenant.
You need to configure OneLake security for users shown in the following table.

The solution must follow the principle of least privilege.
Which permission should you assign to each user? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:
https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-sharing#sharing-and- permissions


103. Frage
You have a Fabric tenant that contains a workspace named Workspace1.
You plan to deploy a semantic model named Model1 by using the XMLA endpoint.
You need to optimize the deployment of Model1. The solution must minimize how long it takes to deploy Model1.
What should you do in Workspace1?

Antwort: A

Begründung:
When using XMLA endpoint for deployment or processing , the semantic model storage format impacts deployment times.
Small storage format allows faster metadata operations and shorter deployment times.
Large semantic model storage format is only needed for extremely large models ( > 10 GB dataset limit), and it increases deployment overhead.
The other options (B: service editing, C: cache for shortcuts) are unrelated to XMLA endpoint deployment performance.
Reference:
Power BI semantic model storage format


104. Frage
You have a Fabric tenant that contains 30 CSV files in OneLake. The files are updated daily.
You create a Microsoft Power Bl semantic model named Modell that uses the CSV files as a data source. You configure incremental refresh for Model 1 and publish the model to a Premium capacity in the Fabric tenant.
When you initiate a refresh of Model1, the refresh fails after running out of resources.
What is a possible cause of the failure?

Antwort: B

Begründung:
A possible cause for the failure is that query folding is NOT occurring (D). Query folding helps optimize refresh by pushing down the query logic to the source system, reducing the amount of data processed and transferred, hence conserving resources. Reference = The Power BI documentation on incremental refresh and query folding provides detailed information on this topic.


105. Frage
You have a Fabric workspace named Workspace1.
You have three groups named Group1, Group2, and Group3.
You need to assign a workspace role to each group. The solution must follow the principle of least privilege and meet the following requirements:
Group1 must be able to write data to Workspace1, but be unable to add members to Workspace1.
Group2 must be able to configure and maintain the settings of Workspace1.
Group3 must be able to write data and add members to Workspace1, but be unable to delete Workspace1.
Which workspace role should you assign to each group? To answer, drag the appropriate roles to the correct groups. Each role may

Antwort:

Begründung:

Explanation:

Comprehensive Detailed Explanation
Workspace Roles in Microsoft Fabric (same as Power BI workspaces):
Viewer
Can only read/view content.
Cannot create or edit.
Contributor
Can create and write data (datasets, reports, semantic models).
Cannot manage permissions or workspace settings.
Member
Can create and edit content.
Can also add/remove people to the workspace (except Admins).
Cannot delete the workspace itself.
Admin
Full control: can configure settings, add/remove members, and delete the workspace.
Step 1: Group1 Requirements
Must be able to write data .
Must NOT be able to add members.
# Contributor (can write but cannot manage membership).
Step 2: Group2 Requirements
Must be able to configure and maintain workspace settings .
# Only Admin role allows configuring workspace-level settings.
# Admin .
Step 3: Group3 Requirements
Must be able to write data .
Must be able to add members .
Must NOT be able to delete the workspace.
# This matches the Member role.


106. Frage
You have a Fabric warehouse named Warehousel that contains a table named Table! Tablel contains customer data.
You need to implement row-level security (RLS) for Tablel. The solution must ensure that users can see only their respective data.
Which two objects should you create? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Antwort: A,D


107. Frage
......

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DP-600 Zertifizierungsantworten: https://www.pass4test.de/DP-600.html

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