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What are the Different Types of Microsoft Azure Certifications You Can Explore in 2024?

Introduction:

To begin with, Microsoft Azure is a leading cloud computing platform developed by Microsoft. This platform provides individuals, companies, and governments with management, access, and development of applications and services. Furthermore, Microsoft Azure offers various services such as:

  • Compute: Virtual machines, App Service, Kubernetes Service
  • Storage: Blob storage, file storage, database services
  • Networking: Virtual networks, load balancing, DNS
  • Data Analytics: Data Factory, Data Lake Storage, Synapse Analytics
  • Artificial Intelligence: Machine Learning, Cognitive Services
  • Internet of Things: IoT Hub, IoT Central

Best Microsoft Azure Credentials:

Microsoft Azure provides businesses with various certifications that are useful for validating your skills and expertise in using its platform. These credentials ensure that you have great skills and can help you achieve your career goals. Choosing the best Azure certification for you depends on your career goals and current level of expertise. Now let’s have a look at the best MS Azure Certification you can explore in 2024.

Associate Level:

Microsoft Azure

  • Azure Fundamentals (AZ 900): The AZ 900 certification refers to a foundational certification that provides a general overview of Azure services and concepts.
  • Azure Data Fundamentals (DP 900): This certification focuses on Azure data services and data analytics.
  • Azure Administrator (AZ 104): This validates your ability to manage Azure resources and configure virtual networks.
  • Azure Network Administrator (AZ 124): This credential validates your expertise in designing and implementing cloud networks.
  • Azure Security Engineer (AZ 500): It shows that you have knowledge of cloud security best practices.

Expert Level:

Azure

  • Azure Solutions Architect Expert (AZ 305): This credential validates your ability to design and implement complex cloud solutions.
  • Azure Developer Expert (AZ 303): It showcases your skills in developing cloud-native applications.
  • Azure DevOps Engineer Expert (AZ 400): It shows your expertise in automating and managing cloud infrastructure.
  • Azure Data Engineer Expert (DP 300): This credential validates your skills in designing and building data pipelines and data warehouses.

Specialized Certifications:

MS AZURE

  • Azure AI Engineer Associate (AI 102): This credential validates your knowledge and skills in building and deploying AI models on Azure.
  • Azure Machine Learning Specialist (AI 100): Gaining this credential validates your expertise in using Azure Machine Learning.
  • Azure Data Scientist Associate (DP 203): This proves that you are a skilled professional in data science and machine learning on Azure.

Use Cases of Microsoft Azure:

Microsoft Azure is a comprehensive cloud computing platform that provides businesses with various services and capabilities. This platform comes with huge versatility and scalability making it suitable for a wide range of businesses and industries. Therefore, many companies use it and look towards hiring professionals with Microsoft Azure Certification. Let’s have a look at some of the popular use cases of MS Azure.

  • Web and Mobile Applications: Microsoft Azure is useful for building and deploying web and mobile applications on Azure. Along with this, it uses various services such as App Service, Azure Functions, and Azure Kubernetes Service.
  • Data Storage and Analytics: This solution is useful for storing and managing data using Azure Blob Storage, Azure Files, and Azure Disk Storage. Furthermore, it also leverages Azure Machine Learning for building and deploying AI models.
  • Internet of Things (IoT): This solution is also useful for connecting and managing IoT devices using Azure IoT Hub, Azure IoT Central, and Azure Time Series Insights.
  • Big Data: Microsoft Azure is useful for processing and analyzing large datasets using Azure HDInsight (Hadoop), Azure Data Lake Storage, and Azure Cosmos DB.
  • Artificial Intelligence (AI) and Machine Learning: Microsoft Azure is also useful for building and deploying AI models using Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
  • Hybrid Cloud: This is useful for connecting the on-premises data centers to Azure using Azure Stack or Azure Arc.

Conclusion:

Microsoft Azure offers a wide range of certifications to validate your skills and expertise in using its platform. Choosing the right certification depends on your career goals and current level of expertise. By pursuing Azure certifications, you can enhance your career prospects, demonstrate your proficiency in cloud computing, and open doors to exciting opportunities within the Microsoft Azure ecosystem.

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