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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 (Q49-Q54):

NEW QUESTION # 49
You to need assign permissions for the data store in the AnalyticsPOC workspace. The solution must meet the security requirements.
Which additional permissions should you assign when you share the data store? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
* Data Engineers: Read All SQL analytics endpoint data
* Data Analysts: Read All Apache Spark
* Data Scientists: Read All SQL analytics endpoint data
The permissions for the data store in the AnalyticsPOC workspace should align with the principle of least privilege:
* Data Engineers need read and write access but not to datasets or reports.
* Data Analysts require read access specifically to the dimensional model objects and the ability to create Power BI reports.
* Data Scientists need read access via Spark notebooks. These settings ensure each role has the necessary permissions to fulfill their responsibilities without exceeding their required access level.


NEW QUESTION # 50
You have a Fabric workspace named Workspace1 that contains an eventstream named Eventstream1.
Eventstream1 reads data from an Azure event hub named Eventhub1.
Eventhub1 contains the following columns.
Name
Data type
MachineId
Int
Payload
Dynamic
Datetime
Datetime
Location
String
You need to add a continuous percentile calculation to the Payload column. The solution must minimize development effort.
What should you do?

Answer: A


NEW QUESTION # 51
You have a Fabric workspace named Workspace1 and a warehouse named Warehouse1.
Workspace1 contains a user named User1. User1 is assigned the Viewer role for Workspace1.
You need to ensure that User1 can share Warehouse1 with other users. The solution must follow the principle of least privilege.
Which role should you assign to User1?

Answer: C

Explanation:
To allow a Viewer to share a Warehouse while following the Principle of Least Privilege, you should assign the user the Member role.
The Member role is the lowest-level workspace role that includes the permission to share items (including Warehouses).
Permission to Share: Unlike Viewers or Contributors, Members can share items and manage permissions for those items.
Restricted Control: Members cannot delete the workspace, change its settings, or manage the roles of Admins/Members (unlike the Admin role).
Infrastructure Isolation: It provides the necessary administrative authority over content without giving full "owner" rights to the entire workspace environment.
Reference:
https://www.linkedin.com/pulse/understanding-role-based-access-control-rbac-fabric-abiola- uw8oe


NEW QUESTION # 52
You have a Fabric warehouse that contains a table named Staging.Sales. Staging.Sales contains the following columns.

You need to write a T-SQL query that will return data for the year 2023 that displays ProductID and ProductName arxl has a summarized Amount that is higher than 10,000. Which query should you use?

Answer: B

Explanation:
The correct query to use in order to return data for the year 2023 that displays ProductID, ProductName, and has a sum marized Amount greater than 10,000 is Option B. The reason is that it uses the GROUP BY clause to organize the data by ProductID and ProductName and then filters the result using the HAVING clause to only include groups where the sum of Amount is greater t han 10,000. Additionally, the DATEPART (YEAR, SaleDate) = ' 2023 ' part of the HAVING clause ensures that only records from the year 2023 are included. References = For more information, please visit the official documentation on T-SQL queries and the GROUP BY clause at T-SQL GROUP BY .


NEW QUESTION # 53
You have a Fabric workspace named Workspace 1 that contains a dataflow named Dataflow1. Dataflow1 has a query that returns 2.000 rows. You view the query in Power Query as shown in the following exhibit.

What can you identify about the pickupLongitude column?

Answer: A

Explanation:
The pickupLongitude column has duplicate values. This can be inferred because the 'Distinct count' is 935 while the 'Count' is 1000, indicating that there are repeated values within the column. References = Microsoft Power BI documentation on data profiling could provide further insights into understanding and interpreting column statistics like these.


NEW QUESTION # 54
......

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