Microsoft DP-600 Practice Exam Questions & Answers
5 Free Questions
· Last reviewed: September 6, 2026
· Prepared & Reviewed by the ValidExamDumps Editorial Team
Exam Facts
Microsoft DP-600 Exam Details
Key details for this exam, checked against the published exam outline
192
Practice Questions (Our Bank)
100 minutes
Exam Duration
700 out of 1000
Passing Score
USD 165
Exam Fee (United States)
- Exam Code
- DP-600
- Full Name
- Implementing Analytics Solutions Using Microsoft Fabric
- Issuing Body
- Microsoft
- Question Format (Our Bank)
- Multiple Choice, Hotspot, Drag & Drop, Case Studies
- Delivery
- Online proctored or at a Pearson VUE test centre
- Eligibility
- Subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions using Microsoft Fabric components
Practice Questions
Free DP-600 Practice Questions
Each question shows the correct answer and an explanation of why it is right
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You have a Fabric tenant that contains a new semantic model in OneLake.
You use a Fabric notebook to read the data into a Spark DataFrame.
You need to evaluate the data to calculate the min, max, mean, and standard deviation values for all the string and numeric columns.
Solution: You use the following PySpark expression:
df.show()
Does this meet the goal?
Correct Answer:
B
Explanation
The df.show() method also does not meet the goal. It is used to show the contents of the DataFrame, not to compute statistical functions. Reference = The usage of the show() function is documented in the PySpark API documentation.
You have a Fabric tenant that contains a lakehouse. You plan to use a visual query to merge two tables.
You need to ensure that the query returns all the rows that are present in both tables. Which type of join should you use?
Correct Answer:
C
Explanation
When you need to return all rows that are present in both tables, you use a full outer join. This type of join combines the results of both left and right outer joins and returns all rows from both tables, with matching rows from both sides where available. If there is no match, the result is NULL on the side of the join where there is no match.
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?
Correct Answer:
D
Explanation
Creating parameters in Power Query is the foundational step for incremental refresh. These parameters define the date ranges that determine which rows are new or modified since the last refresh. Without these parameters, the system cannot distinguish between data that needs updating and data that should remain unchanged. Other steps like partition configuration follow after the parameters are established.
You have a Fabric tenant that contains a Microsoft Power Bl report.
You are exploring a new semantic model.
You need to display the following column statistics:
* Count
* Average
* Null count
* Distinct count
* Standard deviation
Which Power Query function should you run?
Correct Answer:
B
Explanation
The Table.Profile function in Power Query is used to generate column statistics such as count, average, null count, distinct count, and standard deviation. You can use this function as follows:
Invoke the Power Query Editor.
Apply the Table.Profile function to your table.
The result will be a table where each row represents a column from the original table, and each column in the result represents a different statistic such as those listed in the requirement.
You have a Microsoft Power Bl report named Report1 that uses a Fabric semantic model.
Users discover that Report1 renders slowly.
You open Performance analyzer and identify that a visual named Orders By Date is the slowest to render. The duration breakdown for Orders By Date is shown in the following table.
What will provide the greatest reduction in the rendering duration of Report1?
Correct Answer:
D
Explanation
Based on the duration breakdown provided, the major contributor to the rendering duration is categorized as 'Other,' which is significantly higher than DAX Query and Visual display times. This suggests that the issue is less likely with the DAX calculation or visual rendering times and more likely related to model performance or the complexity of the visual. However, of the options provided, optimizing the DAX query can be a crucial step, even if 'Other' factors are dominant. Using DAX Studio, you can analyze and optimize the DAX queries that power your visuals for performance improvements. Here's how you might proceed:
Open DAX Studio and connect it to your Power BI report.
Capture the DAX query generated by the Orders By Date visual.
Use the Performance Analyzer feature within DAX Studio to analyze the query.
Look for inefficiencies or long-running operations.
Optimize the DAX query by simplifying measures, removing unnecessary calculations, or improving iterator functions.
Test the optimized query to ensure it reduces the overall duration.
Domain 1: Prepare data
45% - 50%
Create objects in a lakehouse or warehouse and copy data efficiently. Transform data through dataflows, Spark notebooks, and Data Factory pipelines. Optimize query performance and organize data for analytical readiness.
Sample questions from this domain above:
Q2Q3Q5
Domain 2: Implement and manage semantic models
25% - 30%
Design and construct semantic models that structure data meaningfully for analysis. Build DAX calculations and establish table relationships. Optimize large-scale semantic models to enhance efficiency and usability in enterprise environments.
Sample question from this domain above:
Q1
Domain 3: Maintain a data analytics solution
25% - 30%
Implement security through row-level security and object-level security alongside Purview governance. Monitor solution health and handle capacity management. Maintain the analytics development lifecycle through proper deployment and version control.
Sample question from this domain above:
Q4
FAQ
DP-600 Exam FAQ
Common questions about the exam itself
How hard is the DP-600 exam compared to other Microsoft data certifications?
DP-600 is moderately challenging and very hands-on. It expects you to work across the entire Fabric stack from data ingestion through modelling to reporting. It sits between the analyst-focused PL-300 and the engineer-focused DP-700, demanding both breadth and depth in a single exam.
What background do I need before attempting DP-600?
You should have expertise in designing, creating, and deploying enterprise-scale analytics solutions using Fabric components like lakehouses, warehouses, notebooks, and semantic models. Prior experience with SQL, DAX, and data transformation is expected. Knowledge of Power BI is beneficial but not mandatory.
Which objective area causes candidates the most trouble on DP-600?
Semantic model design typically challenges candidates because it requires both understanding DAX expressions and making architectural decisions about table relationships and calculated columns. Spend time practising DAX writing and working through real-world model optimization scenarios.
How long should I plan to prepare for DP-600?
A realistic preparation timeframe is 8 to 12 weeks if you already work with data platforms. If you are new to Fabric, plan for 12 to 16 weeks to become comfortable with the platform. The exact time depends on your existing experience with SQL, DAX, and cloud data services.
What happens on exam day for DP-600?
You have 100 minutes to answer approximately 40 questions. The exam includes multiple-choice, multiple-response, drag-and-drop ordering questions, and at least one case study. Some items present DAX or T-SQL code and ask you to identify or complete the correct statement.
What are the retake rules for DP-600?
You must wait 24 hours after your first failed attempt before retaking. For subsequent attempts, there is a 14-day waiting period between each attempt. You can attempt the exam a maximum of five times within a 12-month period. After five failures, you must wait 12 months from your first attempt before trying again.
How long does the Fabric Analytics Engineer Associate certification stay valid?
The certification is valid for one year. You can renew it free of charge by completing an online assessment on Microsoft Learn before the expiration date. The renewal assesses your current knowledge of the technology.
What job role does DP-600 lead to?
DP-600 qualifies you as a Fabric Analytics Engineer, a role that designs, builds, and maintains enterprise-scale analytics solutions on Microsoft Fabric. Organisations migrating from Synapse or standalone Power BI increasingly seek this credential as a senior data analytics qualification.
How does DP-600 relate to the other Fabric certification exams?
DP-600 focuses on analytics and semantic modelling. If you write more DAX than Spark code, DP-600 is for you. DP-700 covers Fabric data engineering and suits candidates writing more Spark. PL-300 is the Power BI analyst foundation, and many teams now expect DP-600 as the senior Fabric credential alongside or after PL-300.
Can I reschedule my DP-600 exam after booking it?
Yes, you can reschedule through your Pearson VUE account online. The specific rescheduling rules and any associated fees depend on how close your exam date is and whether Microsoft or Pearson VUE has promotional policies in effect at the time of rescheduling.
