Developing Azure Solutions - 70-532
This exam is for candidates who are experienced in designing, programming, implementing, automating, and monitoring Microsoft Azure solutions. Passing this exam validates a candidate’s ability to create and manage Azure Resource Manager Virtual Machines, design and implement storage and data strategy, manage identity, application, and network services, and design and implement Azure PaaS compute and web and mobile services.
Implementing Azure Infrastructure Solutions - 70-533
Candidates for this exam implement infrastructure solutions in Microsoft Azure. Candidates have experience implementing and monitoring cloud and hybrid solutions as well as supporting application lifecycle management.
Architecting Azure Solutions - 70-535
Passing Exam 535: Architecting Microsoft Azure Solutions validates the earners ability to define the appropriate cloud native, cloud migration, and hybrid cloud solutions to meet the required functional, operational, and deployment requirements through the solution lifecycle. Candidates demonstrate an understanding of DevOps technologies, provisioning Azure resources using ARM templates, and designing highly resilient workloads running on Azure.
Configuring and Operating a Hybrid Cloud with Azure Stack - 70-537
Passing Exam 537: Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack validates the skills and knowledge necessary to plan, deploy, package, update, and maintain the Azure Stack infrastructure. Candidates also demonstrate the ability to offer hybrid cloud resources and requested services, and to manage IaaS and PaaS.
Designing and Implementing Cloud Data Platform Solutions - 70-473
Passing this exam validates a candidate’s skills in designing and implementing both on-premises and cloud-based data platform solutions. Candidates demonstrate how to identify tradeoffs and make decisions for designing public and hybrid cloud solutions and how to define the appropriate infrastructure and platform solutions to meet the required functional, operational, and deployment requirements through the solution lifecycle.
Designing and Implementing Big Data Analytics Solutions - 70-475
This certification exam is targeted towards data management professionals, data architects, data scientists, and data developers who design big data analytics solutions on Microsoft Azure. Passing this exam validates a candidate’s ability to design real-time processing solutions, design big batch processing and interactive solutions, as well as operationalize end-to-end cloud analytics solutions.
Analyzing Big Data with Microsoft R - 70-773
Passing Exam 773: Analyzing Big Data with Microsoft R validates the skills and knowledge necessary to process and analyze data sets larger than memory using R.
Perform Cloud Data Science with Azure Machine Learning - 70-774
Passing Exam 774: Perform Cloud Data Science with Azure Machine Learning validates the skills and knowledge necessary to use Azure cloud services to build and deploy intelligent solutions. Candidates demonstrate an understanding of Azure data services and machine learning, as well as data science processes such as filtering and transforming data sets, model estimation, and model evaluation.
Perform Data Engineering on Microsoft Azure HDInsight - 70-775
Passing Exam 775: Perform Data Engineering on Microsoft Azure HDInsight validates the skills and knowledge necessary to implement big data engineering workflows on HDInsight. Candidates demonstrate an understanding of big data analytics solutions and the capabilities of batch data processing, real-time processing, and interactive processing, and apply the Microsoft cloud ecosystem to design and implement big data engineering workflows and to use open source technologies for strategic value-add.
Perform Big Data Engineering on Microsoft Cloud Services - 70-776
Passing Exam 776: Perform Big Data Engineering on Microsoft Cloud Services validates the skills and knowledge necessary to design analytics solutions and build operationalized solutions on Azure. Candidates are familiar with the features and capabilities of batch data processing, real-time processing, and operationalization technologies, as well as can apply the Microsoft cloud ecosystem to designs and to implement big data analytics solutions to meet their project’s needs.