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Real Microsoft 70-774 practice exam questions for easy pass!
Updated: Sep 17, 2026
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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
- Perform data sciences at scale by using HD Insights
- Cleanse data for Azure Machine Learning
- Explore and summarize data
- Validate models
- Import and Export Data to and from ML.
- Azure Machine Learning models
Perform Cloud Data Science with Azure Machine learning 70-774 Dumps will include below mentioned topics with Exam focused percentage
- Develop Machine Learning Models: 20-25%
- Operationalize and Manage Azure Machine Learning Services: 20-25%
- Use Other Services for Machine Learning: 20-25%
- Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning: 20-25%
Overview about Overview about MICROSOFT 70-774 Exam
- Format: Multiple choice, multiple answer
- Registration Fee: 165 USD
- Length of Examination: 120 minutes
- Passing Score: 70-80%
- Number of Questions: 40-60
Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
For more info visit:
MICROSOFT 70-774 Exam Reference, Microsoft Documents
Microsoft 70-774 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Perform Cloud Data Science with Azure Machine Learning |
| Exam Number: | 70-774 |
| Certificate Validity Period: | Retired / no longer available |
| Exam Price: | USD 165 (approx.) |
| Passing Score: | 700 (out of 1000, approximate) |
| Related Certifications: | MCSA: Machine Learning certification (needs both 70-773 & 70-774) Microsoft 70-773 (Analyzing Big Data with Microsoft R) |
| Exam Duration: | 120 – 180 (estimated) |
| Real Exam Qty: | 37 – 60 (estimated) |
| Exam Format: | Multiple Choice, Multiple Response |
| Available Languages: | English |
| Sample Questions: | Microsoft 70-774 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 70-774 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Operationalize and Manage Azure Machine Learning Services | - Manage ML projects and workspaces - Deploy models using Azure ML - Consume related Cognitive Services APIs - Consume ML models |
| Topic 2: Use Other Services for Machine Learning | - Perform data sciences at scale via HDInsight - Streamline development with existing resources - Build/use neural networks (Microsoft Cognitive Toolkit) - Perform database analytics using SQL Server R Services |
| Topic 3: Develop Machine Learning Models | - Select appropriate algorithm/method - Validate models - Initialize and train models |
| Topic 4: Prepare Data for Analysis in Azure Machine Learning | - Cleanse data for Azure ML - Import and export data to/from Azure ML - Perform feature engineering - Explore and summarize data |
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