Published by Microsoft Press (March 1, 2018) © 2018
Ginger Grant | Julio Granados | Guillermo Fernandez | Pau Sempere | Javier Torrenteras | Paco Gonzalez | Tamanaco FrancísquezProduct Information
Prepare for Microsoft Exam 70-774–and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level.
Focus on the expertise measured by these objectives:
- Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning
- Develop machine learning models
- Operationalize and manage Azure Machine Learning Services
- Use other services for machine learning
This Microsoft Exam Ref:
- Organizes its coverage by exam objectives
- Features strategic, what-if scenarios to challenge you
- Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes
About the Exam
Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data’s behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs.
About Microsoft Certification
Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certifi¿cation, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services.
See full details at: microsoft.com/learning
- Chapter 1 Prepare Data for Analysis in Azure Machine Learning and Export from Azure Machine Learning
- Skill 1.1 Import and export data to and from Azure Machine Learning
- Skill 1.2 Explore and summarize data
- Skill 1.3 Cleanse data for Azure Machine Learning
- Skill 1.4 Perform feature engineering
- Chapter 2 Develop Machine Learning Models
- Skill 2.1 Select an appropriate algorithm or method
- Skill 2.2 Initialize and train appropriate models
- Skill 2.3 Validate models
- Chapter 3: Operationalize and Manage Azure Machine Learning Services
- Skill 3.1 Deploy models using Azure Machine Learning
- Skill 3.2 Manage Azure Machine Learning projects and workspaces
- Skill 3.3 Consume Azure Machine Learning models
- Skill 3.4 Consume exemplar Cognitive Services APIs
- Chapter 4 Use Other Services for Machine Learning
- Skill 4.1 Build and use neural networks with the Microsoft Cognitive Toolkit
- Skill 4.2 Streamline development by using existing resources
- Skill 4.3 Perform data sciences at scale by using HDInsights
- Skill 4.4 Perform database analytics by using SQL Server R Services on Azure