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Microsoft DP-600 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Implementing Analytics Solutions Using Microsoft Fabric
Exam Number:	DP-600
Exam Duration:	100 minutes
Certificate Validity Period:	2 years
Exam Price:	USD 165
Exam Format:	Scenario-based, Multiple choice, Case study
Real Exam Qty:	40–60
Passing Score:	700 / 1000
Available Languages:	English, Chinese (Simplified), Portuguese (Brazil), German, Spanish, Japanese, French
Recommended Training:	Microsoft Learn: DP-600 Learning Path
Exam Registration:	Microsoft Certification Exam Registration
Sample Questions:	Microsoft DP-600 Sample Questions
Exam Way:	Online proctored or onsite at authorized test centers
Pre Condition:	No mandatory prerequisites; recommended experience with data modeling, SQL, DAX, and Microsoft Fabric components
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-600

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Microsoft DP-600 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
Topic 3	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.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q155-Q160):

NEW QUESTION # 155
You have a Fabric tenant that contains a workspace named Workspace1. Workspace1 is assigned to a Fabric capacity.
You need to recommend a solution to provide users with the ability to create and publish custom Direct Lake semantic models by using external tools. The solution must follow the principle of least privilege.
Which three actions in the Fabric Admin portal should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

A. From the Capacity settings, set XMLA Endpoint to Read Write.
B. From the Tenant settings, enable Publish to Web.
C. From the Tenant settings, set Allow XMLA Endpoints and Analyze in Excel with on-premises datasets to Enabled.
D. From the Tenant settings, set Allow Azure Active Directory guest users to access Microsoft Fabric to Enabled.
E. From the Tenant settings, set Users can create Fabric items to Enabled.
F. From the Tenant settings, select Users can edit data model in the Power BI service.

Answer: A,C,F

NEW QUESTION # 156
You need to ensure the data loading activities in the AnalyticsPOC workspace are executed in the appropriate sequence. The solution must meet the technical requirements.
What should you do?

A. Create and schedule a Spark job definition.
B. Create and schedule a Spark notebook.
C. Create a dataflow that has multiple steps and schedule the dataflow.
D. Create a pipeline that has dependencies between activities and schedule the pipeline.

Answer: D

Explanation:
To meet the technical requirement that data loading activities must ensure the raw and cleansed data is updated completely before populating the dimensional model, you would need a mechanism that allows for ordered execution. A pipeline in Microsoft Fabric with dependencies set between activities can ensure that activities are executed in a specific sequence. Once set up, the pipeline can be scheduled to run at the required intervals (hourly or daily depending on the data source).

NEW QUESTION # 157
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.

Answer:

Explanation:

Explanation:

You need to configure OneLake security for two users with the following requirements:
User1 : Read all the Spark data
User2 : Read all the SQL endpoint data
The available permissions are: Read , ReadAll , and ReadData .
Understanding the permissions:
Read # Grants access to metadata but not the data itself.
ReadData # Grants access to query data through SQL endpoints (SQL-based access).
ReadAll # Grants access to read data across all engines (including Spark and SQL endpoints).
Applying least privilege principle:
User1 (Spark access): Needs to read all the Spark data # Assign ReadAll because Spark requires this permission to access data in OneLake.
User2 (SQL endpoint access): Needs to read SQL endpoint data only # Assign ReadData , as this grants access to SQL endpoints without over-provisioning Spark access.
User1: ReadAll
User2: ReadData
References:
Microsoft Fabric OneLake permissions
Fabric Lakehouse & SQL Endpoint security

NEW QUESTION # 158
You have a Microsoft Fabric tenant that contains a dataflow.
You are exploring a new semantic model.
From Power Query, you need to view column information as shown in the following exhibit.

Which three Data view options should you select? Each correct answer presents part of the solution.

A. Show column value distribution
B. Show column profile in details pane
C. Enable details pane
D. Enable column profile
E. Show column quality details

Answer: A,D,E

Explanation:
Show column value distribution: This option provides a visual representation of the distribution of values in each column, which is visible in the exhibit.
Enable column profile: This option displays statistics and other detailed information about each column, including value distribution, which aligns with the data shown in the exhibit.
Show column quality details: This option shows the quality of the data in each column, indicating valid, error, and empty values, as displayed in the exhibit.

NEW QUESTION # 159
You need to resolve the issue with the pricing group classification.
How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 160
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