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Updated: Aug 02, 2026
No. of Questions: 65 Questions & Answers with Testing Engine
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Difficulty in writing MICROSOFT 70-774 Exam
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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Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes
Exam4Docs 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.
- Algorithms for grouping unlabeled Data.
- Machine Learning Projects and workspace
- Azure Machine Learning.
- SQL/T-SQL
- Machine Learning models
- Cognitive Services/API
- Microsoft R Servers.
- HDinsights
- Data Science
- Python Languages.
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
- Perform data sciences at scale by using HD Insights
- Explore and summarize data
- Cleanse data for Azure Machine Learning
- Azure Machine Learning models
- Import and Export Data to and from ML.
- Validate models
Microsoft 070-774 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Perform Cloud Data Science with Azure Machine Learning |
| Exam Number: | 70-774 |
| Exam Format: | Multiple Choice, Multiple Response |
| Exam Duration: | 120 – 180 (estimated) |
| Passing Score: | 700 (out of 1000, approximate) |
| Exam Price: | USD 165 (approx.) |
| Related Certifications: | Microsoft 70-773 (Analyzing Big Data with Microsoft R) MCSA: Machine Learning certification (needs both 70-773 & 70-774) |
| Available Languages: | English |
| Certificate Validity Period: | Retired / no longer available |
| Real Exam Qty: | 37 – 60 (estimated) |
| 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) |
Microsoft 070-774 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Develop Machine Learning Models | - Validate models - Select appropriate algorithm/method - Initialize and train models |
| Topic 2: Prepare Data for Analysis in Azure Machine Learning | - Cleanse data for Azure ML - Perform feature engineering - Explore and summarize data - Import and export data to/from Azure ML |
| Topic 3: 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 4: Use Other Services for Machine Learning | - Perform database analytics using SQL Server R Services - Perform data sciences at scale via HDInsight - Build/use neural networks (Microsoft Cognitive Toolkit) - Streamline development with existing resources |
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