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Overview about Overview about MICROSOFT 70-774 Exam
- Number of Questions: 40-60
- Length of Examination: 120 minutes
- Registration Fee: 165 USD
- Passing Score: 70-80%
- Format: Multiple choice, multiple answer
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
- Validate models
- Azure Machine Learning models
- Explore and summarize data
- Import and Export Data to and from ML.
- Cleanse data for Azure Machine Learning
- Perform data sciences at scale by using HD Insights
Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx
Microsoft 070-774 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Develop machine learning models | - Select and implement algorithms
|
| Prepare and process data for Azure Machine Learning | - Data preparation and transformation
|
| Evaluate and optimize models | - Model evaluation techniques
|
| Deploy and manage models | - Model deployment in Azure
|
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