Updated: Sep 27, 2026
No. of Questions: 65 Questions & Answers with Testing Engine
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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Perform Cloud Data Science with Azure Machine Learning |
| Exam Number: | 70-774 |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | Retired effective June 30, 2019 |
| Available Languages: | English |
| Real Exam Qty: | 40-60 |
| Related Certifications: | 70-773 Analyzing Big Data with Microsoft R Azure Data Scientist Associate |
| Passing Score: | 700 out of 1000 |
| Exam Price: | 165 USD |
| Exam Format: | Multiple choice, Drag and drop, Scenario-based |
| Recommended Training: | Microsoft Azure ML Documentation Exam Ref 70-774 Book |
| Exam Registration: | Microsoft Learning Page Pearson VUE Registration |
| Sample Questions: | Microsoft 070-774 Sample Questions |
| Exam Way: | Proctored onsite at Pearson VUE centers or online proctored |
| Pre Condition: | No mandatory prerequisites; recommended knowledge of data science, Azure basics, and machine learning concepts |
| Official Syllabus URL: | https://www.microsoft.com/en-us/learning/exam-70-774.aspx |
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
MICROSOFT 70-774 Exam Reference, Microsoft Documents
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prepare Data for Analysis in Azure Machine Learning | 30% | - Perform feature engineering
|
| Topic 2: Develop Machine Learning Models | 35% | - Validate and evaluate models
|
| Topic 3: Use Other Services for Machine Learning | 10% | - Use SQL Server R Services - Leverage Cortana Intelligence Gallery - Work with Microsoft Cognitive Toolkit - Integrate with HDInsight |
| Topic 4: Operationalize and Manage Azure Machine Learning Services | 25% | - Consume models and APIs
|
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