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Microsoft 070-774 certification exam is designed for individuals who are looking to validate their skills in performing cloud data science using Azure Machine Learning. Perform Cloud Data Science with Azure Machine Learning certification is ideal for data scientists, data engineers, and other professionals who are looking to enhance their knowledge and skills in cloud-based 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.
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Microsoft 070-774 Certification Exam is a valuable credential for professionals who want to demonstrate their expertise in using Azure Machine Learning for cloud-based data science solutions. It covers essential topics such as machine learning model design and implementation, deployment and management, and data manipulation in Azure. With this certification, professionals can enhance their career prospects and demonstrate their commitment to staying up-to-date with the latest advancements in data science and machine learning.
Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
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Microsoft 070-774 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop Machine Learning Models | 35% | - Train and tune models
|
| Topic 2: Use Other Services for Machine Learning | 10% | - Use SQL Server R Services - Work with Microsoft Cognitive Toolkit - Leverage Cortana Intelligence Gallery - Integrate with HDInsight |
| Topic 3: Prepare Data for Analysis in Azure Machine Learning | 30% | - Import and export data
|
| Topic 4: Operationalize and Manage Azure Machine Learning Services | 25% | - Deploy models as web services
|
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