Microsoft 070-774 certification exam is designed for professionals who wish to demonstrate their skills in performing cloud data science with the Azure Machine Learning platform. 070-774 exam tests the candidate's ability to design and implement machine learning models using Azure Machine Learning, as well as their knowledge of data preparation and feature engineering, model evaluation, and deployment.
Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
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Microsoft 070-774 is a certification exam designed for IT professionals who want to validate their ability to perform cloud data science using Azure Machine Learning. 070-774 exam is primarily designed for data scientists, data analysts, software developers, and other cloud computing professionals who are interested in pursuing data science operations using Azure Machine Learning.
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Microsoft 070-774 exam consists of multiple-choice questions that cover a range of topics related to Azure Machine Learning. 070-774 exam can be taken in-person at a testing center or online, and candidates have two hours to complete the exam. Upon passing the exam, candidates will receive a Microsoft Certified Professional (MCP) certification, which demonstrates their proficiency in using Azure Machine Learning to perform cloud-based data science tasks.
Microsoft 070-774 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Operationalize and Manage Azure Machine Learning Services | - Deploy models using Azure ML - Consume related Cognitive Services APIs - Consume ML models - Manage ML projects and workspaces |
| Develop Machine Learning Models | - Initialize and train models - Validate models - Select appropriate algorithm/method |
| Prepare Data for Analysis in Azure Machine Learning | - Cleanse data for Azure ML - Perform feature engineering - Explore and summarize data - Import and export data to/from Azure ML |
| Use Other Services for Machine Learning | - Build/use neural networks (Microsoft Cognitive Toolkit) - Streamline development with existing resources - Perform data sciences at scale via HDInsight - Perform database analytics using SQL Server R Services |
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