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Perform Cloud Data Science with Azure Machine Learning 70-774 Exam
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
- Validate models
- Import and Export Data to and from ML.
- Azure Machine Learning models
- Explore and summarize data
- Perform data sciences at scale by using HD Insights
- Cleanse data for Azure 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: Use Other Services for Machine Learning | 10% | - Use SQL Server R Services - Leverage Cortana Intelligence Gallery - Work with Microsoft Cognitive Toolkit - Integrate with HDInsight |
| Topic 2: Develop Machine Learning Models | 35% | - Train and tune models
|
| 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% | - Manage workspaces and experiments
|


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