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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:120 minutes
Exam Price:$165 USD (varies by country)
Real Exam Qty:40-60
Available Languages:French, Korean, Simplified Chinese, Spanish, Japanese, English, German, Portuguese (Brazil)
Passing Score:700 (out of 1000)
Related Certifications:PL-300
DP-203
DP-900
Certificate Validity Period:1 year (renewable via Microsoft certification renewal)
Exam Format:Case studies, Scenario-based questions, Multiple choice, Drag and drop
Recommended Training:Microsoft Fabric Documentation
DP-600 Learning Path (Microsoft Learn)
Exam Registration:Microsoft Certification Dashboard
Pearson VUE Microsoft Exams
Sample Questions:Microsoft DP-600 Sample Questions
Exam Way:Online proctored exam or in-person at Pearson VUE test centers
Pre Condition:No formal prerequisites required, but familiarity with data analytics, Power BI, and Azure data services is recommended.
Official Syllabus URL:https://learn.microsoft.com/credentials/certifications/fabric-analytics-engineer/

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Microsoft DP-600 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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 (Q112-Q117):

NEW QUESTION # 112
You have a Fabric workspace that contains a warehouse named Warehouse!. Warehousel contains the following data.

You need to create a T-SQL statement that will denormalize the tables and include the ContractType and StartDate attributes in the results. The solution must meet the following requirements:
* Include attributes from matching rows in the Contract table.
* Ensure that all the rows from the Employee table are preserved.
* Return the total number of employees per contract type for all the contract types that have more than two employees.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Comprehensive Detailed Explanation
We are tasked with writing a T-SQL query to denormalize the tables Employee and Contract in a Fabric warehouse.
Requirements Breakdown
Include attributes from matching rows in the Contract table
This means we must join Employee and Contract on EmployeeID .
Ensure that all rows from the Employee table are preserved
This requires a LEFT OUTER JOIN from Employee to Contract. If an employee has no contract, we still want the employee record included.
Return the total number of employees per contract type for all contract types that have more than two employees This means we need to:
Group by ContractType
Count distinct EmployeeID
Filter groups where that count > 2.
To filter aggregated results, we use HAVING , not WHERE.
Completed Query
WITH result AS (
SELECT
e.EmployeeID,
e.EmployeeName,
e.EmployeePosition,
c.ContractType,
c.StartDate
FROM Employee AS e
LEFT OUTER JOIN Contract AS c
ON c.EmployeeID = e.EmployeeID
)
SELECT
ContractType,
COUNT ( DISTINCT EmployeeID) AS TotalEmployees
FROM result
GROUP BY ContractType
HAVING COUNT ( DISTINCT EmployeeID) > 2 ;
Why This is Correct
LEFT OUTER JOIN ensures all employees are included, regardless of contracts.
HAVING allows filtering aggregated groups by employee counts.
The query returns ContractType , StartDate (as requested in denormalization), and aggregated employee counts.
References
T-SQL JOINs in Microsoft Fabric
Aggregate functions and HAVING clause
Denormalization best practices in Fabric warehouses


NEW QUESTION # 113
You are developing a Microsoft Power BI semantic model. Two tables in the data model are not connected in a physical relationship. You need to establish a virtual relationship between the tables. Which DAX function should you use?

Answer: B


NEW QUESTION # 114
You have the following KQL query.

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:

We are analyzing this KQL query:
Sales
| where Status != " Cancelled "
| where OrderDate > = ago(30d)
| summarize TotalSales = sum(SalesAmount) by ProductCategory
| where TotalSales > 0
Statement 1:
" The query excludes sales that have a Status of Cancelled. "
Yes # where Status != " Cancelled " filters them out.
Statement 2:
" The query calculates the total sales of each product category for the last 30 days. " Yes # where OrderDate > = ago(30d) ensures only last 30 days.
summarize TotalSales = sum(SalesAmount) by ProductCategory groups by category.
Statement 3:
" The query includes product categories that have had zero sales during the last 30 days. " No # The final filter where TotalSales > 0 excludes categories with zero sales.
Excludes Cancelled sales # Yes
Calculates total sales by product category for last 30 days # Yes
Includes product categories with zero sales # No
References:
KQL where operator
KQL summarize operator


NEW QUESTION # 115
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Fabric tenant that contains a semantic model named Model1.
You discover that the following query performs slowly against Model1.

You need to reduce the execution time of the query.
Solution: You replace line 4 by using the following code:

Does this meet the goal?

Answer: B

Explanation:
The command:
DESCRIBE DETAIL Customer
Returns metadata about the Delta table, such as format, schema, partitioning, size, number of files, and creation/modification timestamps.
However, it does not provide information about whether maintenance tasks (such as OPTIMIZE , VACUUM , or Z-Ordering) were performed on the table.
To check maintenance history, you would typically use:
DESCRIBE HISTORY Customer
which shows operations executed on the table (e.g., OPTIMIZE, VACUUM, MERGE).
Since DESCRIBE DETAIL does not satisfy the requirement, the solution does not meet the goal.
Reference:
DESCRIBE DETAIL in Delta Lake
DESCRIBE HISTORY in Delta Lake


NEW QUESTION # 116
You have a Microsoft Power BI Premium Per User (PPU) workspace that contains a semantic model.
You have an Azure App Service app named App1 that modifies row-level security (RLS) for the model by using the XMLA endpoint.
App1 requires users to sign in by using their Microsoft Entra credentials to access the XMLA endpoint.
You need to configure App1 to use a service account to access the model.
What should you do first?

Answer: A

Explanation:
Adding a managed identity to App1 will allow it to authenticate and access resources securely without needing to manage credentials explicitly. This is the first step in configuring the app to use a service account for accessing the model via the XMLA endpoint.


NEW QUESTION # 117
......

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