Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

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Features

• Provides exam preparation tips written by a certified trainer
• Covers Exam 70-774 Perform Cloud Data Science with Azure Machine Learning (currently in beta)
• Organizes its coverage by the skills measured on the exam as posted on the exam webpage
• Features strategic, what-if scenarios to challenge the exam candidate

Description

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.

• 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

• 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

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.

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.

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Sample Content

Table of Contents

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 science at scale by using HDInsight

Skill 4.4: Perform database analytics by using SQL Server R Services on Azure  

Updates

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