Free PDF Quiz 2026 Microsoft DP-600–Professional Frequent Updates

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Microsoft DP-600 Exam Syllabus Topics:

TopicDetails
Topic 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.
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
  • 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.

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q82-Q87):

NEW QUESTION # 82
You have a Fabric tenant that contains a lakehouse named Lakehouse1. Lakehouse1 contains a Delta table that has one million Parquet files.
You need to remove files that were NOT referenced by the table during the past 30 days. The solution must ensure that the transaction log remains consistent, and the ACID properties of the table are maintained.
What should you do?

Answer: A

Explanation:
To remove files from a Delta table that are no longer referenced by the current version of the table, you should run the VACUUM command.
https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-table-maintenance


NEW QUESTION # 83
You have a Microsoft Power Bl semantic model that contains measures. The measures use multiple calculate functions and a filter function.
You are evaluating the performance of the measures.
In which use case will replacing the filter function with the keepfilters function reduce execution time?

Answer: D

Explanation:
The KEEPFILTERS function modifies the way filters are applied in calculations done through the CALCULATE function. It can be particularly beneficial to replace the FILTER function with KEEPFILTERS when the filter context is being overridden by nested CALCULATE functions, which may remove filters that are being applied on a column. This can potentially reduce execution time because KEEPFILTERS maintains the existing filter context and allows the nested CALCULATE functions to be evaluated more efficiently.


NEW QUESTION # 84
Which type of data store should you recommend in the AnalyticsPOC workspace?

Answer: A


NEW QUESTION # 85
You have a Fabric tenant that contains a warehouse named Warehouse1. Warehouse1 contains two schemas name schema1 and schema2 and a table named schema1.city.
You need to make a copy of schema1.city in schema2. The solution must minimize the copying of data.
Which T-SQL statement should you run?

Answer: B

Explanation:
https://learn.microsoft.com/en-us/fabric/data-warehouse/clone-table
Microsoft Fabric offers the capability to create near-instantaneous zero-copy clones with minimal storage costs.


NEW QUESTION # 86
You have a Fabric tenant that contains a workspace named Workspace1. Workspace1 contains a single semantic model that has two Microsoft Power BI reports.
You have a Microsoft 365 subscription that contains a data loss prevention (DLP) policy named DLP1.
You need to apply DLP1 to the items in Workspace1.
What should you do?

Answer: D

Explanation:
Step 1: Understand the scenario
Workspace1 contains a semantic model and two Power BI reports.
A Microsoft 365 Data Loss Prevention (DLP) policy (DLP1) already exists.
Requirement: Apply DLP1 to the workspace items.
In Microsoft Fabric and Power BI, DLP policies are enforced through Microsoft Purview Information Protection (MIP) sensitivity labels.
Step 2: Evaluate each option
A). Apply a master data endorsement to the semantic model.
Endorsements (promoted, certified) help users find and trust datasets but do not enforce DLP policies.
Not correct.
B). Apply a certified endorsement to the semantic model.
Certification improves discoverability and trust, but again, it does not trigger DLP policy enforcement.
Not correct.
C). Create a workspace identity.
Workspace identity (service principal) is used for connecting to external resources with managed identity.
It does not relate to DLP policy application.
Not correct.
D). Apply sensitivity labels to the semantic model and reports.
Sensitivity labels (from Microsoft Purview) integrate with Microsoft 365 DLP policies.
When sensitivity labels are applied to Power BI datasets, reports, dashboards, and workspaces, DLP1 can enforce protections such as preventing sharing or exporting sensitive data.
This is the correct answer.
Step 3: Correct Action
To apply DLP1 to Workspace1 items, you must:
Configure sensitivity labels in Microsoft Purview.
Apply those sensitivity labels to the semantic model and reports inside Workspace1.
The existing DLP1 policy will then govern data handling for those items.
References
Sensitivity labels in Power BI
Apply sensitivity labels to Power BI items
DLP policies in Microsoft Purview


NEW QUESTION # 87
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