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Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
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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.
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Perform Cloud Data Science with Azure Machine Learning 70-774 Exam is centered around Azure Machine Learning, Bot Framework, and Cognitive Services. The exam is designed to target candidates who are Data Scientists or Analysts using the Microsoft Azure cloud services to build and deploy intelligent solutions. This exam will test your understanding and familiarity with common data science processes such as filtering and transforming data sets, model estimation, and model evaluation. Machine Learning is one of the hottest topics and technologies in the industry right now.
Machine Learning is being used to combine with Big Data to automate the processes of gaining insights and predicting future behavior of systems, devices, and people. In an effort to expand out the breadth of certifications and exams offered around Microsoft Azure and the cloud, Microsoft has added the Perform Cloud Data Science with Azure Machine Learning Microsoft 70-774 Exam. This exam only available for the candidates till 30th June 2019 after that this may get replace with some other exam so you can plan get it completed before it get expire.
We think our Perform Cloud Data Science with Azure Machine Learning 70-774 Exam Practice Test Paper and Dumps will provide you 100% confidence to make you appear for Microsoft 70-774 Exam
This is the list of the contents in our Perform Cloud Data Science with Azure Machine Learning 70-774
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Operationalize and Manage Azure Machine Learning Services | 25% | - Manage workspaces and experiments
|
| Topic 2: Develop Machine Learning Models | 35% | - Train and tune models
|
| Topic 3: Use Other Services for Machine Learning | 10% | - Leverage Cortana Intelligence Gallery - Integrate with HDInsight - Use SQL Server R Services - Work with Microsoft Cognitive Toolkit |
| Topic 4: Prepare Data for Analysis in Azure Machine Learning | 30% | - Import and export data
|
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