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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing an Azure Data Solution |
| Exam Number: | DP-200 |
| Passing Score: | 700 (out of 1000) |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | 1 year (renewable, subject to Microsoft certification policy) |
| Related Certifications: | DP-203: Data Engineering on Microsoft Azure |
| Exam Price: | USD 165 (varies by country/region) |
| Available Languages: | Korean, French, Japanese, English, Chinese (Simplified), German, Spanish (varies by availability) |
| Exam Duration: | 180 minutes |
| Exam Format: | Multiple choice, Scenario-based questions, Multiple response, Case studies |
| Recommended Training: | Azure Data Engineer Learning Path (DP-203 updated track) Microsoft Learn - DP-200 Learning Path |
| Exam Registration: | Pearson VUE Microsoft Exams Microsoft Certification Dashboard |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored or onsite testing center (Pearson VUE) |
| Pre Condition: | Basic understanding of data concepts and experience with Azure data services is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-200 |
| Section | Objectives |
|---|---|
| Topic 1: Develop data processing solutions | - Stream processing solutions
|
| Topic 2: Design and implement data storage | - Implement data storage solutions
|
| Topic 3: Secure and optimize data solutions | - Monitor and optimize data systems
|
The Microsoft Implementing an Azure Data Solution is Microsoft's certification exam for Microsoft Certified: Azure Data Engineer Associate (legacy path), at the Associate level. It's demanding enough to intimidate — timed practice is the cure. Related credentials include DP-203: Data Engineering on Microsoft Azure.
Yes:
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180 minutes for 40-60 questions. The Prep4sureGuide APP engine imitates the real test — set timed exams, mark performance, point out mistakes — so exam day feels rehearsed.
The Microsoft Implementing an Azure Data Solution blueprint spans 3 domains — including Secure and optimize data solutions, Develop data processing solutions, Design and implement data storage. The complete outline above lists every subtopic; our IT staff keep the material aligned daily.
Basic understanding of data concepts and experience with Azure data services is recommended. Eligibility rules change over time, so verify the current requirements on the official page (official DP-200 exam page) before registering.
USD 165 (varies by country/region) per attempt, 700 (out of 1000) to pass. Retakes cost the full fee — practice whenever you want with the 242 practice questions for the DP-200 exam at Prep4sureGuide.
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You implement an Azure SQL Data Warehouse instance.
You plan to migrate the largest fact table to Azure SQL Data Warehouse. The table resides on Microsoft SQL Server on-premises and is 10 terabytes (TB) is size.
Incoming queries use the primary key Sale Key column to retrieve data as displayed in the following table:
You need to distribute the large fact table across multiple nodes to optimize performance of the table.
Which technology should you use?
Correct Answer: E 🗳️
Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).
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 questions 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 need to configure data encryption for external applications.
Solution:
1. Access the Always Encrypted Wizard in SQL Server Management Studio
2. Select the column to be encrypted
3. Set the encryption type to Randomized
4. Configure the master key to use the Windows Certificate Store
5. Validate configuration results and deploy the solution
Does the solution meet the goal?
Correct Answer: B 🗳️
Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).
A company runs Microsoft Dynamics CRM with Microsoft SQL Server on-premises. SQL Server Integration Services (SSIS) packages extract data from Dynamics CRM APIs, and load the data into a SQL Server data warehouse.
The datacenter is running out of capacity. Because of the network configuration, you must extract on premises data to the cloud over https. You cannot open any additional ports. The solution must implement the least amount of effort.
You need to create the pipeline system.
Which component should you use? To answer, select the appropriate technology in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:

References:
https://docs.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtime
A company plans to use Platform-as-a-Service (PaaS) to create the new data pipeline process. The process must meet the following requirements.
Ingest:
* Access multiple data sources
* Provide the ability to orchestrate workflow
* Provide the capability to run SQL Server Integration Services packages.
Store:
* Optimize storage for big data workloads.
* Provide encryption of data at rest.
* Operate with no size limits.
Prepare and Train:
* Provide a fully-managed and interactive workspace for exploration and visualization.
* Provide the ability to program in R, SQL, Python, Scala, and Java.
* Provide seamless user authentication with Azure Active Directory.
Model & Serve:
* Implement native columnar storage.
* Support for the SQL language
* Provide support for structured streaming.
You need to build the data integration pipeline.
Which technologies should you use? To answer, select the appropriate options in the answer area.
Correct Answer:

References:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/data-guide/technology-choices/pipeline-orchestration-data-movement
https://docs.microsoft.com/en-us/azure/azure-databricks/what-is-azure-databricks
Use the following login credentials as needed:
Azure Username: xxxxx
Azure Password: xxxxx
The following information is for technical support purposes only:
Lab Instance: 10543936
You need to create an elastic pool that contains an Azure SQL database named db2 and a new SQL database named db3.
To complete this task, sign in to the Azure portal.
Correct Answer:
Step 1: Create a new SQL database named db3
1. Select SQL in the left-hand menu of the Azure portal. If SQL is not in the list, select All services, then type SQL in the search box.
2. Select + Add to open the Select SQL deployment option page. Select Single Database. You can view additional information about the different databases by selecting Show details on the Databases tile.
3. Select Create:
4. Enter the required fields if necessary.
5. Leave the rest of the values as default and select Review + Create at the bottom of the form.
6. Review the final settings and select Create. Use Db3 as database name.
On the SQL Database form, select Create to deploy and provision the resource group, server, and database.
Step 2: Create your elastic pool using the Azure portal.
1. Select Azure SQL in the left-hand menu of the Azure portal. If Azure SQL is not in the list, select All services, then type Azure SQL in the search box.
2. Select + Add to open the Select SQL deployment option page.
3. Select Elastic pool from the Resource type drop-down in the SQL Databases tile. Select Create to create your elastic pool.
4. Configure your elastic pool with the following values:
Name: Provide a unique name for your elastic pool, such as myElasticPool.
Subscription: Select your subscription from the drop-down.
ResourceGroup: Select the resource group.
Server: Select the server
5. Select Configure elastic pool
6. On the Configure page, select the Databases tab, and then choose to Add database.
7. Add the Azure SQL database named db2, and the new SQL database named db3 that you created in Step 1.
8. Select Review + create to review your elastic pool settings and then select Create to create your elastic pool.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/sql-database/sql-database-elastic-pool-failover-group-tutorial
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