Azure Solutions Architect (AZ-300) is designed to help you prepare for the Microsoft Azure Architect Technologies (AZ-300) Exam – Part of Azure Solutions Architect Badge (Expert-level). You will be able to choose appropriate Azure Architectures and design patterns. This will enable you to implement advanced networking configurations, plan authentication and security of the infrastructure, use PaaS solutions and Storage Services.
Module 1 |
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✅What is Stream Analytics? ✅Get started with Azure Stream Analytics to process data from IoT devices
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Module 2 |
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✅Data connection ✅Event Processing Ordering Design Choices for Azure Stream Analytics ✅Stream Analytics outputs: Options for storage, analysis |
Module 3 |
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✅Machine Learning integration in Stream Analytics ✅Performing sentiment analysis by using Azure Stream Analytics and Azure Machine Learning ✅Machine Learning-based anomaly detection in Azure Stream Analytics |
Module 4 |
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✅What is Diagnostics logs ✅Enabling Diagnostics logs ✅Diagnostics logs Categories ✅Data Errors ✅Generic Events
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Module 5 |
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✅Stream Analytics Query Language Reference ✅Built-in Functions (Azure Stream Analytics) ✅Data Types (Azure Stream Analytics) ✅TIMESTAMP BY (Azure Stream Analytics) ✅Event Delivery Guarantees ✅How to achieve exactly-once delivery for SQL output |
Module 6 |
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✅Introduction to Azure Data Lake Store ✅Get started with Azure Data Lake Store using the Azure portal ✅Copy data to and from Data Lake Storage Gen1 by using Data Factory ✅Tuning Azure Data Lake Store for performance
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Module 7 |
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✅Overview of Microsoft Azure Data Lake Analytics ✅Get started with Azure Data Lake Analytics using Azure portal ✅Manage Azure Data Lake Analytics by using the Azure portal ✅Manage Jobs using the Azure portal |
Module 8 |
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✅Azure Data Lake Analytics Quota Limits ✅Azure Data Lake Developer Tools ✅Troubleshoot Azure Data Lake Analytics jobs using Azure Portal ✅Use Job Browser and Job View for Azure Data lake Analytics jobs |
Module 9 |
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✅U-SQL programmability guide ✅Develop U-SQL user-defined operators (UDOs) ✅Extending U-SQL Expressions with User-Code ✅Get started with the U-SQL Catalog |
Module 10 |
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✅Develop U-SQL scripts by using Data Lake Tools for Visual Studio ✅Connect to an Azure Data Lake Analytics account ✅Extend U-SQL scripts with Python code in Azure Data Lake Analytics ✅Get started with the Cognitive capabilities of U-SQL ✅Registering Cognitive Extensions in U-SQL ✅Setup Azure Data Lake Analytics federated U-SQL queries to Azure SQL Database |
Module 11 |
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✅Transform data by running U-SQL scripts on Azure Data Lake Analytics ✅Azure Data Lake & Azure HDInsight Blog ✅Directly store streaming data into Azure Data Lake with Azure Event Hubs
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Module 12 |
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✅ Distributed tables in Azure SQL Data Warehouse ✅Table Categories in Azure SQL Data Warehouse ✅Schema & Different Tables in Azure SQL Data Warehouse ✅Common distribution methods for tables ✅Columnstore indexes Key Terms & Concepts ✅Columnstore indexes Use Cases |
Module 13 |
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✅PolyBase and Azure Data Lake
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Module 14 |
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✅PolyBase to access to Non relational data
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Module 15 |
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✅Introduction to Azure Data Factory ✅How Does Data Factory Works ✅Key Components in Data Factory ✅Relationship Between Data Factory Entities ✅Azure Data Factory pipelines |