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Microsoft 70-774: Perform Cloud Data Science with Azure Machine Learning is one of the exam options offered by Microsoft to the candidates who wish to earn the MCSE: Data Management and Analytics certificate.

The Microsoft 70-774 test is always a great option for IT professionals who have earned the MCSA: SQL 2016 Database Development certification and wish to climb up the ladder in their field by pursuing MCSE: Data Management and Analytics.

The Microsoft 70-774 exam focuses on Bot Framework, Azure Machine Learning, and Cognitive Services. This certification test is designed for those individuals who are data analysts or data scientists. They usually build and install intelligent solutions using Microsoft Azure cloud services. The exam tests the candidates’ understanding of the general data science processes, such as model evaluation, model estimation, and filtration and transformation of data sets.

The Microsoft 70-774 exam measures skills that are related to Machine Learning and the way of combining it with big data in order to automate the procedure of gaining insights and foretelling future behavior of people, devices, and systems. Skills measured in the test include the following ones:

• Preparing data for analyzing in Azure Machine Learning and exporting from the Azure Machine Learning: The questions under this topic are centered on exporting and importing data from and to Azure Machine Learning, exploring and summarizing data, performing feature engineering, and cleansing data for Azure Machine Learning.
• Machine Learning models development: The questions from this area test the knowledge in selecting an appropriate method or algorithm. This part of the exam checks whether the candidate has the skills in initializing and training appropriate models, as well as validating models.
• Manage and operationalize Azure Machine Learning services: Questions under this topic are aimed at checking the candidate’s ability to use Azure Machine Learning to deploy models. In addition, the students are tested on management of Azure Machine Learning workspaces and projects and consuming models of Azure Machine Learning.
• Using other services for Machine Learning: The focus is on the ability to build neural networks with Microsoft Cognitive Toolkit, use SQL Server R Services to perform database analytics on Azure, use HDInsights to act upon data sciences at scale, and use existing resources for streamline development.

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