Microsoft DP-700 Exam Overview:
| Certification Vendor: | Microsoft |
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| Exam Name: | Implementing Data Engineering Solutions Using Microsoft Fabric |
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| Exam Number: | DP-700 |
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| Related Certifications: | Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Fabric Analytics Engineer Associate |
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| Exam Format: | Multiple choice, Case studies, Scenario-based questions, Multiple response |
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| Certificate Validity Period: | 1 year (renewable) |
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| Available Languages: | English, German, Portuguese (Brazil), Korean, Spanish, Simplified Chinese, French, Japanese |
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| Real Exam Qty: | 40-60 |
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| Passing Score: | 700/1000 |
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| Exam Price: | Varies by region (approx. $165 USD) |
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| Exam Duration: | 100-120 |
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| Recommended Training: | Microsoft Learn DP-700 Learning Path
Microsoft Fabric Documentation |
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| Exam Registration: | Microsoft Learn Certification Exam Page
Pearson VUE Microsoft Exams |
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| Sample Questions: | Microsoft DP-700 Sample Questions |
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| Exam Way: | Online proctored via Pearson VUE or in-person at authorized testing centers |
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| Pre Condition: | No formal prerequisites, but recommended experience with Azure data services and basic data engineering concepts |
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| Official Syllabus URL: | https://learn.microsoft.com/credentials/certifications/exams/dp-700/ |
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Microsoft DP-700 Exam Syllabus Topics:
| Topic | Details |
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| Topic 1 | - Implement and manage an analytics solution: This section of the exam measures the skills of Microsoft Data Analysts regarding configuring various workspace settings in Microsoft Fabric. It focuses on setting up Microsoft Fabric workspaces, including Spark and domain workspace configurations, as well as implementing lifecycle management and version control. One skill to be measured is creating deployment pipelines for analytics solutions.
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| Topic 2 | - Monitor and optimize an analytics solution: This section of the exam measures the skills of Data Analysts in monitoring various components of analytics solutions in Microsoft Fabric. It focuses on tracking data ingestion, transformation processes, and semantic model refreshes while configuring alerts for error resolution. One skill to be measured is identifying performance bottlenecks in analytics workflows.
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| Topic 3 | - Ingest and transform data: This section of the exam measures the skills of Data Engineers that cover designing and implementing data loading patterns. It emphasizes preparing data for loading into dimensional models, handling batch and streaming data ingestion, and transforming data using various methods. A skill to be measured is applying appropriate transformation techniques to ensure data quality.
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Reference: https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-700/
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