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Microsoft Azure for Data Engineering Coursera Quiz Answers

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Microsoft Azure for Data Engineering Coursera Quiz Answers


 

WEEK 1 QUIZ ANSWERS

Knowledge check

Question 1)
High-availability systems must be available most of the time. Service-level agreements (SLAs) specify your organization’s availability expectations. System uptime can be expressed as three nines, four nines, or five nines. These expressions indicate system uptimes of 99.9 percent, 99.99 percent, or 99.999 percent.
How many downtime hours per year will be covered with an SLA of 99.9% uptime?

  • .09 Hours
  • 24 Hours
  • 8.76 Hours
  • .88 Hours

Question 2)
Which of the following terms describes the final cost of owning a given technology and includes the following costs:

Hardware
Software licensing
Labor (installation, upgrades, maintenance)
Datacenter overhead (power, telecommunications, building, heating and cooling)

  • RPO
  • RTO
  • MTD
  • TCO

Question 3)
Azure supports both structured and unstructured data. Unstructured data in Azure would commonly be held in which of the following?

  • Azure SQL Data Warehouse
  • Azure SQL Database
  • Azure Cosmos DB

Question 4)
The term lift and shift is used when migrating physical or virtualized servers from an on-premises environment to a Microsoft Azure virtual machine cloud-based environment without the need to rearchitect the application.
Which of the following are benefits of carrying out a Lift and Shift operation?
Select all options that apply.

  • Take advantage of all Azure Features.
  • Lower operational costs
  • Higher Availability

Question 5)
The schema of what data type can be defined at query time.

  • Azure Cosmos DB
  • Structured data
  • Unstructured data

Question 6)
Which cloud technical requirement is met by duplicating customer content for redundancy and meeting service-level agreements (SLAs) in Azure?

  • Maintainability
  • High availability
  • Multilingual support

 

Knowledge check

Question 1)
As data processing techniques change with technology, new roles are starting to appear. These roles provide specialized skills to help streamline the data engineering process. Which of the following roles have been identified as new roles in modern data Projects?

  • Database Administrator
  • Data Engineer
  • Artificial Intelligence Engineer
  • Data Scientist

Question 2)
The role of a Data Engineer includes which of the following tasks?
Select all options that apply.

  • Perform advanced analytics to extract value from data
  • Using services and tools to ingest, egress, and transform data from multiple sources.
  • Manage, monitor, and ensure the security and privacy of data to satisfy business needs.
  • Working with services such as Cognitive Services, Cognitive Search, and Bot Framework.

Question 3)
Data Engineers may sometimes perform ETL process when processing data. The extract may come from many sources including databases, files, and streams. As part of the Extract process which of the following information must be supplied?

  • Define the Transformation
  • Define the Data
  • Define the Data Source

Question 4)
In Microsoft Azure, Data Engineers will use several tools to perform ETL processes.
Which of the following tools will commonly be used to perform ETL processes in Azure?

  • Azure Cosmos DB
  • Azure Synapse Analytics
  • Azure Data Factory

Question 5)
Which role works with Azure Cognitive Services, Cognitive Search, and the Bot Framework?

  • Data scientist
  • AI engineer
  • Data engineer

Question 6)
Which Azure data platform is commonly used to process data in an ELT framework?

  • Azure Databricks
  • Azure Data Factory
  • Azure Data Lake Storage

 

Visit this link:ย  Microsoft Azure for Data Engineering Week 1 | Test prep Quiz Answers

 


 

WEEK 2 QUIZ ANSWERS

Knowledge check

Question 1)
Azure provides many data platform technologies to meet the needs of common data varieties. In relational database systems like Microsoft SQL Server which of the following types of data structures is used?

  • Structured Data
  • Semi-structured Data
  • Unstructured Data

Question 2)
Nonstructured data is stored in nonrelational systems, commonly called unstructured or NoSQL systems. Which of the following are types of NoSQL databases?
Select all options that apply.

  • Key-value store
  • Document databases.
  • Relational database
  • Graph database
  • Column Store Database

Question 3)
You need to provision a data store that will store but not query data. You also want to avail of the cheapest storage option. Which of the following is most suitable in this scenario?

  • Azure Queue:
  • Azure Blob
  • Azure Files

Question 4)
Azure Data Lake Storage Gen 2 is designed to store massive amounts of data for big-data analytics. Which of the following are features of Azure Data Lake?
Select all options that apply.

  • Unlimited scalability
  • Security support for access control lists (ACLs)
  • Hadoop compatibility
  • Limited support for Zone Redundant storage

Question 5)
Which data platform technology is a globally distributed, multi model database that can perform queries in less than a second?

  • Azure SQL Database
  • Azure Cosmos DB
  • Azure SQL Data Warehouse

Question 6)
Which Azure service is the best choice to store documentation about a data source?

  • Azure Data Catalog
  • Azure Data Factory
  • Azure Data Lake Storage

 

Visit this link:ย  Microsoft Azure for Data Engineering Week 2 | Test prep Quiz Answers

 


 

WEEK 3 QUIZ ANSWERS

Knowledge check

Question 1)
Synapse SQL offers both serverless and dedicated resource models to work with both descriptive and diagnostic analytical scenarios. To provide predictable performance and cost you should create which of the following.

  • Serverless SQL endpoints
  • Dedicated SQL pools

Question 2)
Azure Synapse Pipelines leverages the capabilities of Azure Data Factory and is a cloud-based solution for which of the following types of data ingestion and transformation?

  • ELT
  • ETL

Question 3)
Azure Stream Analytics is a perfect solution to implement when your data is which of the following types?

  • Real-time Analysis
  • Batch process

Question 4)
Data Engineers configure ingestion components of Azure Stream Analytics by configuring data inputs from sources including Azure Event Hubs, Azure IoT Hub, or Azure Blob storage.
Azure Event Hub provides which of the following features.
Select all that apply!

  • Big data streaming service
  • Partitioned consumer model
  • Azure Storage

 

Visit this link:ย  Microsoft Azure for Data Engineering Week 3 | Course practice exam Quiz Answers