Microsoft Azure Data Fundamentals: Explore non-relational data in Azure Microsoft Quiz Answers

Get Microsoft Azure Data Fundamentals: Explore non-relational data in Azure Microsoft Quiz Answers

Non-relational data is a common way for applications to store and query data without the overhead of a relational schema. In Microsoft Azure, you can use Azure Storage and Azure Cosmos DB to build highly scalable, secure data stores for non-relational data. This learning path helps you prepare for the Azure Data Fundamentals

This learning path helps prepare you for Exam DP-900: Microsoft Azure Data Fundamentals.

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Module 1: Explore Azure Storage for non-relational data

About Module:

Azure Storage is a core service in Microsoft Azure that is commonly used to store non-relational data.

In this module, you’ll learn how to:

  • Describe features and capabilities of Azure blob storage
  • Describe features and capabilities of Azure Data Lake Gen2
  • Describe features and capabilities of Azure file storage
  • Describe features and capabilities of Azure table storage
  • Provision and use an Azure Storage account

Before starting this module, you should have some familiarity with Microsoft Azure concepts and the Azure portal.

Quiz 1: Knowledge check

Q1. What are the elements of an Azure Table storage key?

  • Table name and column name
  • Partition key and row key
  • Row number

Q2. What should you do to an existing Azure Storage account in order to support a data lake for Azure Synapse Analytics?

  • Add an Azure Files share
  • Create Azure Storage tables for the data you want to analyze
  • Upgrade the account to enable hierarchical namespace and create a blob container

Q3. Why might you use Azure File storage?

  • To share files that are stored on-premises with users located at other sites.
  • To enable users at different sites to share files.
  • To store large binary data files containing images or other unstructured data.

Module 2: Explore fundamentals of Azure Cosmos DB

About Module:

Azure Cosmos DB provides a highly scalable store for non-relational data.

In this module, you’ll learn how to:

  • Describe key features and capabilities of Azure Cosmos DB
  • Identify the APIs supported in Azure Cosmos DB
  • Provision and use an Azure Cosmos DB instance

Before starting this module you should have some familiarity with Microsoft Azure concepts and the Azure portal.

Quiz 1: Knowledge check

Q1. Which API should you use to store and query JSON documents in Azure Cosmos DB?

  • Core (SQL) API
  • Cassandra API
  • Table API

Q2. Which Azure Cosmos DB API should you use to work with data in which entities and their relationships to one another are represented in a graph using vertices and edges?

  • MongoDB API
  • Core (SQL) API
  • Gremlin API

Q3. How can you enable globally distributed users to work with their own local replica of a Cosmos DB database?

  • Create an Azure Cosmos DB account in each region where you have users.
  • Use the Table API to copy data to Azure Table Storage in each region where you have users.
  • Enable multi-region writes and add the regions where you have users.
Conclusion:

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