Azure DevOps Certification: An Easy Guide(2021)


Candidates for the DevOps Engineer Specialist credential should provide subject matter experience in delivering market performance through individuals, systems, and technology. Designing and executing solutions for teamwork, code, architecture, source control, authentication, enforcement, continuous integration, testing, execution, reporting, and feedback are among the responsibilities of this role. This credential requires knowledge in both Azure administration and growth, as well as expertise in at least one of these fields. In this article, we will discuss DevOps certification, az 400, azure DevOps certification and, aws DevOps certification.

In this article let us look at:

  1. What is Azure DevOps?
  2. Why Azure DevOps Certification?
  3. Microsoft Certified: Azure DevOps Engineer Expert
  4. Exam AZ-400: Microsoft Azure DevOps Solutions
  5. Recommended Azure DevOps Certification Training

1. What is Azure DevOps?

Microsoft’s Azure DevOps framework is a Software as a Service (SaaS) platform that offers a complete DevOps toolchain for designing and deploying software. It also interfaces with the majority of popular tools, making it an excellent option for orchestrating a DevOps toolchain. DevOpsGroup has a large number of consumers who have considered Azure DevOps to be a good match for their needs, regardless of language, application, or cloud. Despite its October 2018 launch, Azure DevOps is not a newcomer to the DevOps scene. Its ancestors can be tracked all the way back to the 2006 release of Visual Studio Team System. Microsoft has over 80,000 internal customers and this is a proven software with a diverse feature set.

2. Why Azure DevOps Certification?

The Microsoft DevOps Engineer Expert credential is for practitioners who integrate individuals, systems, and technology to generate value through goods and services that address end-user demands and business goals continuously. Professionals who are actually immersed in DevOps culture and activities are included in this category.

If you can develop and execute solutions for version control, compliance, infrastructure as code, configuration management, build, release, and testing using Azure technologies, you’ll be a good candidate for this credential.

Both programs are available in two formats:

Azure DevOps Services is a collection of Azure cloud-based development and operations services.

For on-premises infrastructures, Azure DevOps Servers (formerly Visual Studio Team Foundation Server, VTFS) are available.

3. Microsoft Certified: Azure DevOps Engineer Expert

Professionals in Azure DevOps merge resources, systems, and technology to offer useful goods and services that fulfil end-user demands and business goals continuously.

These experts improve product delivery by streamlining processes, strengthening coordination and teamwork, and automating processes. They create and implement continuous integration, testing, distribution, reporting, and input methods for application code and infrastructure.

4. Exam AZ-400: Microsoft Azure DevOps Solutions

  • AZ-400: Microsoft Azure DevOps Engineer Expert (Microsoft Azure DevOps Engineer Expert) (Microsoft Azure DevOps Engineer Expert
  • The following is a prerequisite: There are no prerequisites for taking the Azure DevOps Certification Exam at this time. If you want to win the Microsoft Certified: DevOps Engineer Expert Badge, you’ll need to pass either the AZ-104 or AZ-204 test as well. You can learn more about the [AZ-104] Azure Administrator credential by reading this blog post.
  • Time allotted for the exam: 150-210 minutes
  • The number of questions is between 40 and 60. (One lab with around 10 subtasks)
  • 700 is the minimum passing score (Out of 1000)
  • The cost of the exam is USD 165.00.
  • Validity: Beginning in June 2021, Microsoft has declared that all role-based and speciality certifications will be valid for one year from the day you passed the Credential Exam. Microsoft’s licensing policy has been simplified; beginning in June 2021, you will easily update your certification for free by passing an exam on Microsoft Learn. There is an annual procedure for Microsoft to renew the authenticity of a certification.
  • English, Korean, Japanese, and Simplified Chinese are the exam languages.

There are also several other requirements to be aware of before taking the AZ 400 test.

  • Agile knowledge is a plus.
  • The ability to use Azure technology to plan and execute DevOps practices for version control, configuration management, build compliance, release, and testing.
  • Expertise in streamlining implementation by optimizing procedures, automating processes, and integrating program code and infrastructure techniques.

It is still preferable to find a proper training course from a well-recognized site when it comes to studying for the qualification test. This course is available on a variety of websites, including Udemy, Dotnettricks, and Cloudacademy. This course also provides real-world hands-on experiments, case studies, and other activities to help you develop a complete understanding of Azure and DevOps. As a result, taking the course would greatly improve the odds of passing the official Azure DevOps test. 


This brings us to the end of the discussion on Azure DevOps certification. Are you interested in being a Microsoft Certified Azure DevOps Engineer Expert? This blog post is for you if you’ve ever wanted to pass the AZ 400 qualification exam. We covered all of the important Azure DevOps exam information in this blog post, including weightage, course length, exam period, and much more! This exam involves DevOps experts who can combine systems, people, and technology to produce services and goods that fulfil business goals and customer expectations continuously. This guide provides information and resources to prepare you for the Microsoft DevOps Engineer Expert certification. 

If you are interested in making a career in the Data Science domain, our 11-month in-person Postgraduate Certificate Diploma in Data Science course can help you immensely in becoming a successful Data Science professional. 


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