Microsoft 070-774 Q&A - in .pdf

  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Sep 09, 2026
  • Q & A: 65 Questions and Answers
  • PDF Price: $49.98
  • Printable Microsoft 070-774 PDF Format. It is an electronic file format regardless of the operating system platform.
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Microsoft 070-774 Q&A - Testing Engine

  • Exam Code: 070-774
  • Exam Name: Perform Cloud Data Science with Azure Machine Learning
  • Updated: Sep 09, 2026
  • Q & A: 65 Questions and Answers
  • Install on multiple computers for self-paced, at-your-convenience training.
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Analyzing Big Data with Microsoft R 70-773 Dumps Provided Study Notes

Test4Engine 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.

  • Cognitive Services/API
  • Machine Learning Projects and workspace
  • Microsoft R Servers.
  • SQL/T-SQL
  • Machine Learning models
  • Python Languages.
  • Data Science
  • Algorithms for grouping unlabeled Data.
  • Azure Machine Learning.
  • HDinsights
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
  • Cleanse data for Azure Machine Learning
  • Azure Machine Learning models
  • Perform data sciences at scale by using HD Insights
  • Import and Export Data to and from ML.
  • Explore and summarize data

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For more info visit:

MICROSOFT 70-774 Exam Reference, Microsoft Documents

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 exams for you to help in your exam preparation.

Reference: https://www.microsoft.com/en-us/learning/exam-70-774.aspx

Microsoft 070-774 Exam Syllabus Topics:
SectionObjectives
Topic 1: Prepare and process data for Azure Machine Learning- Data ingestion and storage
  • 1. Connect to Azure storage services
    • 2. Import data into Azure Machine Learning datasets
      - Data preparation and transformation
      • 1. Clean missing or inconsistent data
        • 2. Transform features for modeling
          Topic 2: Deploy and manage models- Model deployment in Azure
          • 1. Deploy to Azure web services
            • 2. Batch inference pipelines
              - Operationalization
              • 1. Monitor deployed models
                • 2. Update and retrain models
                  Topic 3: Evaluate and optimize models- Model tuning and improvement
                  • 1. Hyperparameter tuning
                    • 2. Feature selection and engineering
                      - Model evaluation techniques
                      • 1. ROC and AUC analysis
                        • 2. Accuracy, precision, recall, F1 score
                          Topic 4: Develop machine learning models- Training models in Azure Machine Learning
                          • 1. Use Azure ML Studio experiments
                            • 2. Train models using Python or R scripts
                              - Select and implement algorithms
                              • 1. Supervised learning models
                                • 2. Unsupervised learning models

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