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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.
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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