Career Opportunities and Salary Potential

Completing the Microsoft DP-201 exam and obtaining the Microsoft Certified: Azure Data Engineer Associate certification provides the individuals with numerous prospects. First of all, this certificate prepares the professionals for a career of an Azure Data Engineer. However, the holders of this associate-level option can also explore other positions. The job titles that will also become available to you after getting certified include an Azure Cloud Engineer, a Cloud Solutions Systems Engineer, a Software Engineer, a DevOps Engineer, a Senior DevOps Engineer, among others. According to PayScale, an Azure Data Engineer with 1-4 years of experience earns an average of $90,496 per year, but the same professional with 5-9 years of experience can get about $98,686 per annum.

Reference: https://www.microsoft.com/en-us/learning/exam-dp-201.aspx

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The Need for Microsoft DP-201 Exam

Nowadays, the term “cloud” has become a common word. It is important for your employer and clients to trust you with the management and planning of cloud-based services, especially Microsoft Office 365. Several job vacancies require candidates to have this certification before they even see your resume and you can pass easily with our DP-201 Dumps. This test engine is a handy guide for those who want to read up on Office 365 skills. Transportation is easy & available, just verify your exam eligibility and schedule your exam. Displayed below are the best resources that can help you study for the exam. Fields of expertise include plans and subscriptions, deployment, implementation, and administrative management of Office 365.

The content of the Microsoft DP-201 exam revolves around three main topics that comprise of specific knowledge and skills that the candidates should develop before sitting for the test. The details of these areas are outlined below:

Topic 1. Designing Azure Data Storage Solutions (40-45%)

• Designing non-relational Cloud data stores: here the applicants should demonstrate that they are capable of designing data partitions and distribution; designing for scale (latency, throughput, and multi-region); designing a solution that utilizes Data Lake Storage Gen2, Blob storage, or Cosmos DB; selecting the proper Cosmos DB API; designing a strategy for disaster recovery; designing for high availability.
• Designing relational Cloud data stores: this subtopic focuses on such abilities as designing data partitions and distribution; designing for scale (comprising latency & throughput); designing a solution that utilizes Azure Synapse Analytics; designing a strategy for disaster recovery; designing for high availability.
• Suggesting an Azure data storage solution in compliance with given requirements: this requires one’s skills in choosing the proper data storage solution in order to satisfy the technical & business requirements; choosing the type of partition distribution.

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