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- Total Questions: 164
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From a free demo to downloadable study files and browser-based practice, Actual4dump keeps DP-500 preparation in one place. Candidates preparing for Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI in 2026 can review 164 practice questions, track progress, and keep materials current with free updates.
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Microsoft DP-500 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI |
| Exam Number: | DP-500 |
| Exam Format: | Multiple Choice, Case Study, Drag and Drop, Multiple Response, Yes/No |
| Real Exam Qty: | 40-60 |
| Exam Price: | $165 USD |
| Passing Score: | 700/1000 |
| Certificate Validity Period: | 12 months |
| Exam Duration: | 120 minutes |
| Available Languages: | German, English, Portuguese (Brazil), French, Korean, Spanish, Japanese, Chinese (Simplified) |
| Related Certifications: | Microsoft Certified: Azure Enterprise Data Analyst Associate |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or authorized Pearson VUE test center. Exam retired on April 30, 2024. |
| Pre Condition: | No mandatory prerequisite exam. Candidates should have advanced Power BI skills, experience with Azure Synapse Analytics, Power Query, DAX, T-SQL, and enterprise-scale analytics solutions. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-500/ |
Microsoft DP-500 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement and Manage Data Models | 30-35% | - Implement advanced modeling techniques
|
| Topic 2: Query and Transform Data | 20-25% | - Query data sources
|
| Topic 3: Explore and Visualize Data | 20-25% | - Create visualizations and reports
|
| Topic 4: Implement and Manage a Data Analytics Environment | 25-30% | - Administer analytics environments
|
Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI: Frequently Asked Questions
The DP-500 exam leads to the Azure Enterprise Data Analyst Associate certification from Microsoft. It is positioned at the Associate level. The exam validates the knowledge and skills expected of candidates preparing for Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI.
Related certifications include:
- Microsoft Certified: Azure Enterprise Data Analyst Associate
The DP-500 exam includes 40-60 questions and allows 120 minutes. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for DP-500 is 700/1000, and the official exam fee is $165 USD. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
No mandatory prerequisite exam. Candidates should have advanced Power BI skills, experience with Azure Synapse Analytics, Power Query, DAX, T-SQL, and enterprise-scale analytics solutions.
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
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If you purchase the corresponding DP-500 preparation material and do not pass that exam within 60 days of purchase, you may apply for a full refund under the 100% Money Back Guarantee. The request requires a scanned exam enrollment slip and the official Score Report PDF, submitted within two days after the exam. Eligible requests are processed within seven days.
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The current DP-500 outline is organized into 4 top-level domains. The first listed areas include:
- Implement and Manage a Data Analytics Environment (25-30%)
- Query and Transform Data (20-25%)
- Implement and Manage Data Models (30-35%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Sample Questions:
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 Power Bl Premium capacity.
From the Power Bl Premium Capacity Metrics app, you discover the following:
* There is insufficient CPU to execute dataset refreshes.
* Out-of-memory throttling occurs when the dataset is waiting.
You need to recommend a solution to resolve the performance issues.
Solution: You move the datasets to a larger capacity.
Does this meet the goal?
- A. Yes
- B. No
You use Azure Synapse Analytics and Apache Spark notebooks to You need to use PySpark to gain access to the visual libraries. Which Python libraries should you use?
- A. Matplotlib only
- B. TensorFlow only
- C. Matplotlib and TensorFlow
- D. Matplotlib and Seaborn
- E. Seaborn and TensorFlow
- F. Seaborn only
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
The enterprise analytics team needs to create a view for the survey response dat a. The solution must meet the technical requirements.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You are configuring an aggregation table as shown in the following exhibit.
The detail table is named FactSales and the aggregation table is named FactSales(Agg).
You need to aggregate SalesAmount for each store.
Which type of summarization should you use for SalesAmount and StoreKey? To answer, select the appropriate options in the answer area, NOTE: Each correct selection is worth one point.

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 Power Bl Premium capacity.
From the Power Bl Premium Capacity Metrics app, you discover the following:
* There is insufficient CPU to execute dataset refreshes.
* Out-of-memory throttling occurs when the dataset is waiting.
You need to recommend a solution to resolve the performance issues.
Solution: You assign Premium per user licenses to all workspace members.
Does this meet the goal?
- A. Yes
- B. No
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