AZ-305: Design data storage solutions Microsoft Quiz Answers

Get AZ-305: Design data storage solutions Microsoft Quiz Answers

Design data storage solutions including non-relational storage, relational storage, and data integration.

This learning path helps prepare you for Exam AZ-305: Designing Microsoft Azure Infrastructure Solutions.

Prerequisites:

  • Conceptual knowledge of storage accounts, blobs, files, disks, data protection, and databases.
  • Working experience with creating and securing storage systems, designing database solutions, and integrating data solutions.

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Module 1: Design a data storage solution for non-relational data

Azure Architects design and recommend non-relational data storage solutions.

Learning objectives:

In this module, you learn how to:

  • Design for data storage.
  • Design for Azure storage accounts.
  • Design for Azure Blob Storage.
  • Design for data redundancy.
  • Design for Azure Files.
  • Design for Azure managed disks.
  • Design for storage security.

Prerequisites:

  • Conceptual knowledge of storage accounts, blobs, files, disks, and data protection.
  • Working experience with creating and securing storage systems.

Quiz 1: Knowledge check

Q1. What’s the best way for Tailwind Traders to protect their warranty information?

  • Legal hold policy
  • Time-based retention policy
  • Private endpoint for storage account

Q2. Which storage option should Tailwind Traders use for their photos and videos?

  • Blob Storage
  • Azure Files
  • Disk storage

Q3. How can you provide your developers with access to the business e-commerce HTML files?

  • Enable secure transfer
  • Enable firewall policies and rules
  • Shared access signatures

Q4. Which access tier should be used for the older versions of the product catalog?

  • Hot access tier
  • Cool access tier
  • Archive access tier

Module 2: Design a data storage solution for relational data

Azure Architects design and recommend relational data storage solutions.

Learning objectives:

In this module, you learn how to:

  • Design for Azure SQL Database.
  • Design for Azure SQL Managed Instance.
  • Design for SQL Server on Azure Virtual Machines.
  • Recommend a solution for database scalability.
  • Recommend a solution for database availability.
  • Design protection for data at rest, data in transmission, and data in use.
  • Design for Azure SQL Edge.
  • Design for Azure Cosmos DB.
  • Design for Azure Table Storage.

Prerequisites:

  • Working experience with database solutions.
  • Conceptual knowledge of SQL Server.

Quiz 1: Knowledge check

Q1. Which Azure SQL deployment option should be the easiest method to migrate the Inventory application?

  • Azure SQL Managed Instance
  • Azure SQL Database, single database
  • SQL Server on Azure Virtual Machines

Q2. What’s the optimal Azure SQL deployment option to migrate the HR application?

  • Azure SQL Managed Instance
  • Azure SQL Database
  • SQL Server in an Azure virtual machine

Q3. Which database service tier best supports the large on-premises database migration?

  • General Purpose
  • Hyperscale
  • Business Critical

Module 3: Design data integration

Azure Architects design and recommend data integration solutions.

Learning objectives:

In this module, you’ll learn how to:

  • Design a data integration solution with Azure Data Factory.
  • Design a data integration solution with Azure Data Lake.
  • Design a data integration and analytics solution with Azure Databricks.
  • Design a data integration and analytics solution with Azure Synapse Analytics.
  • Design a strategy for hot/warm/cold data path.
  • Design Azure Stream Analytics solution for Data Analysis.

Prerequisites:

  • Working experience with data integration solutions.
  • Conceptual knowledge of data integration solutions.

Quiz 1: Knowledge check

Q1. Based on the manufacturing data requirement what solution meets the requirements?

  • Azure Data Factory
  • Azure Databricks
  • Azure Data Lake

Q2. Based on the real time data requirements what solution provides real-time data ingestion and storage of multiple data sources?

  • Azure Data Lake
  • Azure Databricks
  • Azure Blob Storage

Q3. Based on the historical company data requirements what solution meets the requirements?

  • Cold storage
  • Hot storage
  • Warm storage
Conclusion:

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