Candidates for this exam should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions.
Azure data engineers help stakeholders understand the data through exploration, and they build and maintain secure and compliant data processing pipelines by using different tools and techniques. These professionals use various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.
Azure data engineers also help ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. They deal with unanticipated issues swiftly, and they minimize data loss. They also design, implement, monitor, and optimize data platforms to meet the data pipelines needs.
A candidate for this exam must have strong knowledge of data processing languages such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.
You may be eligible for ACE college credit if you pass this certification exam. See ACE college credit for certification exams for details.
The English language version of this exam will be updated on February 6, 2023. Please download the study guide in the “Tip” box for details on upcoming changes. If a localized version of this exam is available, it will be updated approximately eight weeks after this date. While Microsoft makes every effort to update localized versions as noted, there may be times when the localized versions of this exam are not updated on this schedule.
Passing score: 700. Learn more about exam scores.
Part of the requirements for: Microsoft Certified: Azure Data Engineer Associate
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- The English language version of this exam will be updated on February 6, 2023. Download the study guide in the preceding “Tip” box for more details about the skills measured and upcoming changes.
- Design and implement data storage (40—45%)
- Design and develop data processing (25—30%)
- Design and implement data security (10—15%)
- Monitor and optimize data storage and data processing (10—15%)
Two ways to prepare
Azure data engineers integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.
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