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Microsoft 070-774 exam is a must-take for professionals who want to excel in the field of data science and machine learning using Azure Machine Learning. Perform Cloud Data Science with Azure Machine Learning certification provides a distinguishing mark of excellence that is highly valued in the industry. Additionally, the skills and knowledge gained through preparing for the exam can have a significant impact on the professional's career growth and advancement opportunities. By passing the exam, professionals demonstrate that they have practical knowledge and skills that are highly relevant to the field of Azure Machine Learning.
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Microsoft 070-774 exam is intended for professionals who work with data science, machine learning, or artificial intelligence in organizations that use Azure. This includes data scientists, machine learning engineers, artificial intelligence developers, and data analysts. 070-774 exam is also suitable for professionals who want to demonstrate their knowledge of Azure Machine Learning to potential employers. Regardless of your role, passing 070-774 exam will provide you with a strong foundation in Azure Machine Learning and give you a competitive edge in the job market.
Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
Microsoft 070-774 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Prepare Data for Analysis in Azure Machine Learning | - Import and export data to/from Azure ML - Explore and summarize data - Cleanse data for Azure ML - Perform feature engineering |
| Develop Machine Learning Models | - Initialize and train models - Validate models - Select appropriate algorithm/method |
| Operationalize and Manage Azure Machine Learning Services | - Consume related Cognitive Services APIs - Deploy models using Azure ML - Consume ML models - Manage ML projects and workspaces |
| Use Other Services for Machine Learning | - Build/use neural networks (Microsoft Cognitive Toolkit) - Perform data sciences at scale via HDInsight - Perform database analytics using SQL Server R Services - Streamline development with existing resources |
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