Perform Cloud Data Science with Azure Machine learning 70-774 Dumps will include below mentioned topics with Exam focused percentage
- Use Other Services for Machine Learning: 20-25%
- Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning: 20-25%
- Develop Machine Learning Models: 20-25%
- Operationalize and Manage Azure Machine Learning Services: 20-25%
How to book MICROSOFT 70-774 Certifications Exam?
- Select Date and Center of examination and confirm with payment value of 165$
- Visit to Microsoft Exam Registration
- Signup/Login to MICROSOFT account
- Search for MICROSOFT 70-774 Certifications Exam
Difficulty in writing MICROSOFT 70-774 Exam
It is one of the toughest exam and it requires you a lot of hands-on experience. It is advisable to have prior knowledge of Data analytics on Microsoft. The more experience you have, the more it is beneficial for you, Major challenging things which you can find in exam is about different scenario based questions, you must have strong understanding of Big Data, Machine Learning, Data Science, Data Analytics.
Candidates having thorough study and hands-on practice can help you to get prepare for this exam. It is all up to your decision we mean to say a source which you used for 70-774 exam preparation it may be a book or an online source which offered you 70-774. In these days people mostly prefer to buy their study material from an online platform and there are many online websites who are offering 70-774 test questions but they are not verified by experts. So, you have to choose a platform which gives you the best & authentic Microsoft 70-774 practice test paper & Microsoft 70-774 exam dumps and i.e. only you can have it at Dumpleader because all their exams are verified by the Subject Matter Expert.
Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
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Microsoft 070-774 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Prepare Data for Analysis in Azure Machine Learning | - Cleanse data for Azure ML - Explore and summarize data - Import and export data to/from Azure ML - Perform feature engineering |
| Topic 2: Operationalize and Manage Azure Machine Learning Services | - Deploy models using Azure ML - Consume ML models - Manage ML projects and workspaces - Consume related Cognitive Services APIs |
| Topic 3: Use Other Services for Machine Learning | - Perform data sciences at scale via HDInsight - Perform database analytics using SQL Server R Services - Build/use neural networks (Microsoft Cognitive Toolkit) - Streamline development with existing resources |
| Topic 4: Develop Machine Learning Models | - Validate models - Initialize and train models - Select appropriate algorithm/method |







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