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A candidate for the Azure Data Engineer Associate certification should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.
Responsibilities for this role include helping stakeholders understand the data through exploration, building and maintaining secure and compliant data processing pipelines by using different tools and techniques. This professional uses various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.
An Azure data engineer also helps ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints. This professional deals with unanticipated issues swiftly and minimizes data loss. An Azure data engineer also designs, implements, monitors, and optimizes data platforms to meet the data pipeline needs.
A candidate for this certification must have solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.
Candidates for this exam are solution architects who lead successful implementations and focus on how solutions address the broader business and technical needs of organisations. This role requires the ability to identify opportunities to solve business problems.
Candidates should have functional and technical knowledge of Microsoft Power Platform, Dynamics 365 customer engagement apps, related Microsoft cloud solutions, and other third-party technologies. They apply knowledge and experience throughout an engagement. Candidates perform proactive and preventative work to increase the value of the customer’s investment and promote organizational health.
Candidates should have experience across functional and technical disciplines of Microsoft Power Platform. They should be able to facilitate design decisions across development, configuration, integration, infrastructure, security, licensing, availability, storage, and change management. This role balances a project's business needs while meeting functional and non-functional requirements.
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