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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 (Q140-Q145):

NEW QUESTION # 140
Hotspot Question
You have a Fabric warehouse that contains a table named Sales.Orders. Sales.Orders contains the following columns.

You need to write a T-SQL query that will return the following columns.

How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct answer is worth one point.

Answer:

Explanation:

Explanation:
https://learn.microsoft.com/en-us/sql/t-sql/functions/datetrunc-transact-sql?view=sql-server-ver16
https://learn.microsoft.com/en-us/sql/t-sql/functions/datename-transact-sql?view=sql-server-ver16


NEW QUESTION # 141
You have a Fabric tenant that contains two lakehouses.
You are building a dataflow that will combine data from the lakehouses. The applied steps from one of the queries in the dataflow is shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Folding in Power Query refers to operations that can be translated into source queries. In this case, "some" of the steps can be folded, which means that some transformations will be executed at the data source level. The steps that cannot be folded will be executed within the Power Query engine. Custom steps, especially those that are not standard query operations, are usually executed within Power Query engine rather than being pushed down to the source system.
References =
* Query folding in Power Query
* Power Query M formula language


NEW QUESTION # 142
You have source data in a CSV file that has the following fields:
* SalesTra nsactionl D
* SaleDate
* CustomerCode
* CustomerName
* CustomerAddress
* ProductCode
* ProductName
* Quantity
* UnitPrice
You plan to implement a star schema for the tables in WH1. Thedimension tables in WH1 will implement Type 2 slowly changing dimension (SCD) logic.
You need to design the tables that will be used for sales transaction analysis and load the source data.
Which type of target table should you specify for the CustomerName, CustomerCode, and SaleDate fields? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 143
You have a Fabric workspace named Workspace1 that contains the following items:
A warehouse named Warehouse1
A semantic model named Model1
An interactive report named Report1
You need to allow a user named User1 to access a single table in Warehouse1.
The solution must follow the principle of least privilege.
What should you do first?

Answer: A

Explanation:
Requirement
Fabric workspace: Workspace1
Contains: Warehouse1, Model1, Report1
Task: Allow User1 to access a single table in Warehouse1.
Must follow principle of least privilege # grant only the exact permissions required.
Step 1: Evaluate Options
A). Assign object level permissions to User1 for Warehouse1.
In Fabric warehouses, you can grant permissions at the object level (table, schema, or column).
If the requirement is access to only one table, the correct approach is to grant SELECT permissions on that specific table.
This satisfies least privilege.
Correct. #
B). Assign the db_datareader role to User1 for Warehouse1.
db_datareader provides read access to all tables in the database/warehouse.
This violates least privilege.
Not correct.
C). Share Warehouse1 with User1.
Sharing grants access to the whole warehouse.
Too broad, not least privilege.
Not correct.
D). Assign the Viewer role to User1 for Workspace1.
Viewer role allows seeing all items in the workspace (warehouse, model, reports).
This would expose more than the single table.
Not correct.
Step 2: Correct Action
Use object-level permissions:
GRANT SELECT ON dbo.TableName TO [User1];
This ensures User1 can only query that specific table, nothing else.
References
Manage object-level security in Microsoft Fabric warehouses
Principle of least privilege in Fabric


NEW QUESTION # 144
You have a Fabric tenant that contains two workspaces named Workspace1 and Workspace2.
Workspace1 contains a lakehouse named Lakehouse1. Workspace2 contains a lakehouse named Lakehouse2. Lakehouse1 contains a table named dbo.Sales. Lakehouse2 contains a table named dbo.Customers.
You need to ensure that you can write queries that reference both dbo.Sales and dbo.Customers in the same SQL query without making additional copies of the tables.
What should you use?

Answer: D


NEW QUESTION # 145
......

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