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Updated: Jul 29, 2026
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Benefits of having MICROSOFT 70-774 Certifications
MICROSOFT 70-774 Exam certification will not only help you learn some new skills, it can position you for a higher paying job or help you transform your current role into Data Scientist Professional. Get prepared to take this exam and become one of the very first Microsoft Azure Machine Learning Data Scientist Expert in the world by using our relevance quality of MICROSOFT 70-774 Exam study material and so we bring best-in-industry MICROSOFT 70-774 Exam online course and practice exams for you to help in your exam preparation.
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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%
- Develop Machine Learning Models: 20-25%
- Operationalize and Manage Azure Machine Learning Services: 20-25%
- Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning: 20-25%
Microsoft 070-774 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Perform Cloud Data Science with Azure Machine Learning |
| Exam Number: | 70-774 |
| Exam Duration: | 120 – 180 (estimated) |
| Related Certifications: | Microsoft 70-773 (Analyzing Big Data with Microsoft R) MCSA: Machine Learning certification (needs both 70-773 & 70-774) |
| Real Exam Qty: | 37 – 60 (estimated) |
| Exam Price: | USD 165 (approx.) |
| Passing Score: | 700 (out of 1000, approximate) |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Multiple Response |
| Certificate Validity Period: | Retired / no longer available |
| Sample Questions: | Microsoft 070-774 Sample Questions |
| Exam Way: | Delivered through Pearson VUE (now retired) |
| Pre Condition: | No formal prerequisites; familiarity with Azure Machine Learning and data science concepts recommended |
| Official Syllabus URL: | https://learn.microsoft.com/ (search ‘Exam 70-774’ – retired) |
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
- Explore and summarize data
- Perform data sciences at scale by using HD Insights
- Validate models
- Import and Export Data to and from ML.
- Cleanse data for Azure Machine Learning
- Azure Machine Learning models
Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
Microsoft 070-774 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Use Other Services for Machine Learning | - Perform database analytics using SQL Server R Services - Streamline development with existing resources - Build/use neural networks (Microsoft Cognitive Toolkit) - Perform data sciences at scale via HDInsight |
| Topic 2: Operationalize and Manage Azure Machine Learning Services | - Deploy models using Azure ML - Consume related Cognitive Services APIs - Consume ML models - Manage ML projects and workspaces |
| Topic 3: Prepare Data for Analysis in Azure Machine Learning | - Explore and summarize data - Import and export data to/from Azure ML - Perform feature engineering - Cleanse data for Azure ML |
| Topic 4: Develop Machine Learning Models | - Select appropriate algorithm/method - Validate models - Initialize and train models |
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