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Microsoft DP-600 Exam Syllabus Topics:

TopicDetails
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
  • 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 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.

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q84-Q89):

NEW QUESTION # 84
You have a Fabric tenant that contains a complex semantic model. The model is based on a star schema and contains many tables, including a fact table named Sales. You need to create a diagram of the model. The diagram must contain only the Sales table and related tables. What should you use from Microsoft Power Bl Desktop?

Answer: D


NEW QUESTION # 85
You have a Fabric tenant that contains a lakehouse named Lakehouse! 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: C

Explanation:
VACUUM in Delta Lake removes unreferenced files older than a retention period (default 7 days, but configurable, e.g., 30 days).
It ensures that the transaction log remains consistent and ACID properties are maintained.
OPTIMIZE with V-Order or Z-Order improves file organization and query performance, but it does not remove unused files.
Deleting files manually from OneLake would break the transaction log consistency.
Correct answer: C. Run the VACUUM command.
Reference: VACUUM in Delta Lake


NEW QUESTION # 86
You have a semantic model that contains the following tables:
* Sales
* Product
* Location
You are creating a DAX measure named Measure1 that will calculate the percentage of all the sales of a selected product. Heasure1 will use the following DAX formula.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 87
You have a Fabric warehouse named Watehousel that contains a table named TaxiTrips. TaxiTrips contains the following columns.

You need to create a query that shows the top three taxi companies based on the total miles traveled.
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:

Explanation:


NEW QUESTION # 88
You have a Fabric tenant that contains a workspace named Workspace1. Workspace1 contains a data pipeline named Pipeline1 and a lakehouse named Lakehouse1.
You perform the following actions:
Create a workspace named Workspace2.
Create a deployment pipeline named DeployPipeline1 that will deploy items from Workspace1 to Workspace2.
Add a folder named Folder1 to Workspace1.
Move Lakehouse1 to Folder1.
Run DeployPipeline1.
Which structure will Workspace2 have when DeployPipeline1 is complete?

Answer: C

Explanation:
Scenario:
Workspace1 contains: Pipeline1 and Lakehouse1.
A folder named Folder1 is created in Workspace1.
Lakehouse1 is moved into Folder1.
A deployment pipeline DeployPipeline1 deploys from Workspace1 # Workspace2.
Key Behavior:
Deployment pipelines in Microsoft Fabric maintain the folder hierarchy of items when deploying between workspaces.
If an item (Lakehouse1) is placed in a folder (Folder1), the same folder structure is replicated in the target workspace.
Items not placed in the folder (Pipeline1) remain at the root level.
Result in Workspace2 after deployment:
Pipeline1 remains at the root.
Lakehouse1 is placed inside Folder1.


NEW QUESTION # 89
......

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