SKILL BENCHMARK

Microsoft Azure Data Fundamentals: Azure Non-relational Data Workloads Competency (Intermediate Level)

  • 15m
  • 15 questions
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The Microsoft Azure Data Fundamentals: Azure Non-relational Data Workloads Competency (Intermediate Level) benchmark measures your ability to identify, recognize, and apply concepts of Azure non-relational data workloads. You will be evaluated on your ability to recognize concepts such as non-relational data stores, processing CSV and JSON files, time series solutions, provisioning and configuring non-relational data services, Azure Blob Storage, and more. A learner who scores high on this benchmark demonstrates that they have the necessary Azure non-relational data skills to perform non-relational data workloads on the Azure platform with minimal supervision.

Topics covered

  • describe characteristics of non-relational data
  • describe features, concepts, and system properties of Azure Table Storage
  • describe features, protocols, uses, and benefits of Azure File Storage
  • describe free-form text for search, including architecture and challenges
  • describe how CSV and JSON files are used for non-relational data
  • describe how to configure non-relational data services
  • describe how to create an Azure Storage Container and upload, download, and delete a Blob
  • describe how to manage Azure File Storage including using Azure Storage Explorer, generating SAS tokens, and uploading files to Azure File Storage
  • describe how to provision non-relational data services
  • describe how to provision other non-relational data services
  • describe the features of Azure Blob Storage, how to access storage resources, and migrating data and system properties for Azure Blob Storage
  • describe time series solutions, including benefits and challenges
  • identify the requirements of non-relational data stores
  • identify when to use non-relational vs. relational data
  • list the different types of non-relational data