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.
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This is the list of the contents in our Perform Cloud Data Science with Azure Machine Learning 70-774
- Explore and summarize data
- Import and Export Data to and from ML.
- Cleanse data for Azure Machine Learning
- Azure Machine Learning models
- Validate models
- Perform data sciences at scale by using HD Insights
Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
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Overview about Overview about MICROSOFT 70-774 Exam
- Passing Score: 70-80%
- Number of Questions: 40-60
- Length of Examination: 120 minutes
- Format: Multiple choice, multiple answer
- Registration Fee: 165 USD
Microsoft 70-774 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| 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 |
| Prepare Data for Analysis in Azure Machine Learning | - Explore and summarize data - Cleanse data for Azure ML - Import and export data to/from Azure ML - Perform feature engineering |
| Operationalize and Manage Azure Machine Learning Services | - Consume related Cognitive Services APIs - Manage ML projects and workspaces - Deploy models using Azure ML - Consume ML models |
| Develop Machine Learning Models | - Initialize and train models - Validate models - Select appropriate algorithm/method |
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