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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
- Import and Export Data to and from ML.
- Explore and summarize data
- Validate models
- Azure Machine Learning models
- Perform data sciences at scale by using HD Insights
- Cleanse data for Azure Machine Learning
Perform Cloud Data Science with Azure Machine learning 70-774 Dumps will include below mentioned topics with Exam focused percentage
- Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning: 20-25%
- Develop Machine Learning Models: 20-25%
- Operationalize and Manage Azure Machine Learning Services: 20-25%
- Use Other Services for Machine Learning: 20-25%
Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes
Certification-questions.com 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 Experts Team, Both these
will help you a lot to clear this exam with good marks.
- Azure Machine Learning.
- Microsoft R Servers.
- Python Languages.
- Algorithms for grouping unlabeled Data.
- Machine Learning models
- Machine Learning Projects and workspace
- Cognitive Services/API
- Data Science
Overview about Overview about MICROSOFT 70-774 Exam
- Format: Multiple choice, multiple answer
- Length of Examination: 120 minutes
- Number of Questions: 40-60
- Passing Score: 70-80%
- Registration Fee: 165 USD
How to book MICROSOFT 70-774 Certifications Exam?
- Visit to Microsoft Exam Registration
- Signup/Login to MICROSOFT account
- Search for MICROSOFT 70-774 Certifications Exam
- Select Date and Center of examination and confirm with payment value of 165$
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 tests for you to help in your exam preparation.
Difficulty in writing MICROSOFT 70-774 Exam
It is one of the toughest exam exams 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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