Designing a Data Platform Solution (AZ-301T02-A)

Learn to Compare and contrast various database options on Azure, identify data streaming options for large-scale data ingest, and identify longer-term data storage options.

• Determine the ideal pricing option for Azure Storage based on a solution’s requirements.
• Identify performance thresholds for the Azure Storage service.
• Determine the type of Storage blobs to use for specific solution components.
• Use the Azure Files service for SMB operations.
• Identify solutions that could benefit from the use of StorSimple physical or virtual devices.
• Compare and contrast monitoring services for applications, the Azure platform, and networking.
• Design an alert scheme for a solution hosted in Azure.
• Select the appropriate backup option for infrastructure and data hosted in Azure.
• Automate the deployment of future resources for backup recovery or scaling purposes.

Module 1: Backing Azure Solutions with Azure Storage

• Description
  • This module describes how many Azure services use the Azure Storage service as a backing store for other application solution in Azure
  • The module dives into critical considerations when using Azure Storage as a supplemental service for an all-up Azure solution
• After completing this module, students will be able to:
  • Determine the ideal pricing option for Azure Storage based on a solution’s requirements
  • Identify performance thresholds for the Azure Storage service
  • Determine the type of Storage blobs to use for specific solution components
  • Use the Azure Files service for SMB operations
  • Identify solutions that could benefit from the use of StorSimple physical or virtual devices

Module 2: Comparing Database Options in Azure

• Description
  • This module compares the various relational and non-relational data storage options available in AzureOptions are explored as groups such as relational databases (Azure SQL Database, MySQL, and PostgreSQL on Azure), non-relational (Azure Cosmos DB, Storage Tables), streaming (Stream Analytics) and storage (Data Factory, Data Warehouse, Data Lake)
• Lab
  • Deploying Database Instances in Azure
• After completing this module, students will be able to:
  • Compare and contrast monitoring services for applications, the Azure platform, and networking
  • Identify data streaming options for large-scale data ingest
  • Identify longer-term data storage options

Module 3: Monitoring & Automating Azure Solutions

• Description
  • This module covers the monitoring and automation solutions available after an Azure solution has been architected, designed and possibly deployed
  • The module reviews services that are used to monitor individual applications, the Azure platform, and networked components
  • This module also covers automation and backup options to enable business-continuity scenarios for solutions hosted in Azure
• Lab
  • Deploying Configuration Managemnet Solutions to Azure
• After completing this module, students will be able to:
  • Compare and contrast monitoring services for applications, the Azure platform, and networking
  • Design an alert scheme for a solution hosted in Azure
  • Select the appropriate backup option for infrastructure and data hosted in Azure
  • Automate the deployment of future resources for backup recovery or scaling purposes

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