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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 Format:Multiple choice, Scenario-based, Case study
Exam Price:USD 165
Certificate Validity Period:2 years
Passing Score:700 / 1000
Exam Duration:100 minutes
Available Languages:German, Chinese (Simplified), Spanish, French, Japanese, Portuguese (Brazil), English
Real Exam Qty:40–60
Recommended Training:Microsoft Learn: DP-600 Learning Path
Exam Registration:Microsoft Certification Exam Registration
Sample Questions:Microsoft DP-600 Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No mandatory prerequisites; recommended experience with data modeling, SQL, DAX, and Microsoft Fabric components
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-600

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.

Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-600

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions:

Question #1

You have a Fabric workspace that contains a large warehouse.
You plan to create a lakehouse named Lakehousel for a sales dataset. Lakehousel will contain the following tables:
* Sales: Contains sales transactions
* Stores: Contains a unique list of store names and locations
* Loyalty: Contains a list of customers and their preferred stores
* Customers: Contains a unique list of customer names and addresses
* Products: Contains a unique list of available products and their descriptions You need to configure a star schema for Lakehousel.
Which table should you define as the fact table, and which type of relationship should you configure from the Sales table to the Customers table? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Question #2

You are creating a report and a semantic model in Microsoft Power Bl Desktop.
The Value measure has the expression 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.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Comprehensive Detailed Explanation
Step 1: Reviewing the provided DAX expression
SWITCH(
SELECTEDVALUE(Metric[Metric]),
" # of Customers " , " # " ,
" Gross Margin % " , " 0.00% " ,
" #,### "
)
This is applied as a dynamic format string.
It changes the display formatting of the Value measure depending on the selected metric.
Step 2: Identify the feature
The screenshot shows Format = Dynamic in the Power BI Modeling tab.
This confirms that a dynamic format string has been applied.
So, for the first blank # dynamic format string.
Step 3: Identify the output formats
If the metric = # of Customers # format is " # " # whole numbers.
If the metric = Gross Margin % # format is " 0.00% " # percentages.
Fallback # " #,### " # also whole numbers.
Thus, the measure supports both whole numbers and percentages.
So, for the second blank # percentages or whole numbers.
References
Dynamic format strings in Power BI
SWITCH function in DAX

Question #3

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.

Reveal Solution  Discussion  0

Correct Answer:


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.
Final Answer:
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

Question #4

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals.
More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
Your network contains an on-premises Active Directory Domain Services (AD DS) domain named contoso.
com that syncs with a Microsoft Entra tenant by using Microsoft Entra Connect.
You have a Fabric tenant that contains a semantic model.
You enable dynamic row-level security (RLS) for the mode! and deploy the model to the Fabric service.
You query a measure that includes the username () function, and the query returns a blank result.
You need to ensure that the measure returns the user principal name (UPNJ of a user.
Solution: You add user objects to the list of synced objects in Microsoft Entra Connect.
Does this meet the goal?

  • A. Yes
  • B. No
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

You have a Fabric tenant that contains a data pipeline.
You need to ensure that the pipeline runs every four hours on Mondays and Fridays.
To what should you set Repeat for the schedule?

  • A. By the minute
  • B. Hourly
  • C. Daily
  • D. Weekly
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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