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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.
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This is the list of the contents in our Perform Cloud Data Science with Azure Machine Learning 70-774
- Validate models
- Explore and summarize data
- Azure Machine Learning models
- Cleanse data for Azure Machine Learning
- Import and Export Data to and from ML.
- Perform data sciences at scale by using HD Insights
Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes
FreePdfDump expert team recommend you to prepare some notes on these topics along with it don't forget to practice Perform Cloud Data Science with Azure Machine Learning 70-774 Dumps which been written by our expert team, Both these will help you a lot to clear this exam with good marks.
- Machine Learning models
- Microsoft R Servers.
- SQL/T-SQL
- Data Science
- Python Languages.
- Azure Machine Learning.
- HDinsights
- Cognitive Services/API
- Algorithms for grouping unlabeled Data.
- Machine Learning Projects and workspace
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 | - Explore and summarize data
- Cleanse data for Azure ML
- 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
- Manage ML projects and workspaces
- Consume ML models
- Consume related Cognitive Services APIs
|
| Topic 3: Use Other Services for Machine Learning | - Streamline development with existing resources
- Perform data sciences at scale via HDInsight
- Perform database analytics using SQL Server R Services
- Build/use neural networks (Microsoft Cognitive Toolkit)
|
| Topic 4: Develop Machine Learning Models | - Validate models
- Select appropriate algorithm/method
- Initialize and train models
|