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Exam DP-200: Implementing an Azure Data Solution
Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to implement data solutions that use Azure data services.
Azure data engineers are responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.
Candidates for this exam must be able to implement data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics (formerly Azure SQL DW), Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.
Part of the requirements for: Microsoft Certified: Azure Data Engineer Associate
The benefit in Obtaining the DP-200 Exam Certification
- Candidates will get in-depth knowledge by completing the courses along with the access to revision materials for 6 months upon completion means they will have a wider skill set when it comes to the various technologies and systems than an uncertified professional. Certified Professional in this particular skill set is 74% more efficient when it comes to completing their tasks in a timely well-executed manner.
- Becoming Microsoft Certified Azure Data Engineer Associate means one thing you are worth more to the company and therefore more to yourself in the form of an upgraded pay package. On average a Microsoft Certified Azure Data Engineer Associate member of staff is estimated to be worth 30% more to a company than their uncertified professionals.
- After completion of Microsoft Certified Azure Data Engineer, Associate Certification candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.
- When Candidates applying for a job or looking to promotion in their current position, a Microsoft Certified Azure Data Engineer Associate certification in the field in which Candidates are applying will put you at the top of the list and make them a desirable candidate for employers.
- Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx
Microsoft DP-200 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Implementing an Azure Data Solution |
| Exam Number: | DP-200 |
| Available Languages: | English, Chinese (Simplified), Spanish (varies by availability), French, German, Korean, Japanese |
| Exam Price: | USD 165 (varies by country/region) |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | 1 year (renewable, subject to Microsoft certification policy) |
| Passing Score: | 700 (out of 1000) |
| Exam Duration: | 180 minutes |
| Exam Format: | Multiple choice, Case studies, Multiple response, Scenario-based questions |
| Related Certifications: | DP-203: Data Engineering on Microsoft Azure |
| Recommended Training: | Microsoft Learn - DP-200 Learning Path Azure Data Engineer Learning Path (DP-203 updated track) |
| Exam Registration: | Pearson VUE Microsoft Exams Microsoft Certification Dashboard |
| Sample Questions: | Microsoft DP-200 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 |
Microsoft DP-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Design and implement data storage | - Implement data storage solutions
|
| Secure and optimize data solutions | - Monitor and optimize data systems
|
| Develop data processing solutions | - Stream processing solutions
|
By Iris
