Share data with Azure Data Share Microsoft Quiz Answers

Get Share data with Azure Data Share Microsoft Quiz Answers

Learn how Azure Data Share enables you to send and receive data between departments and external organizations.

Prerequisites:

• It is recommended that students have completed Data Fundamentals before starting this learning path.

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Module 1: Introduction to Azure Data Share

Learn how to use Azure Data Share for securely sending and receiving data to both external organizations or for inter-departmental transfers.

Learning objectives:

After completing this module, you will be able to:

• Describe Azure Data Share
• Provision Azure Data Share
• Share and schedule data using Azure Data Share
• Receive data using Azure Data Share
• Track and monitor data sharing using Azure Data Share
• Secure Azure Data Share
• Manage existing shares

Prerequisites:

• Before taking this module, it is recommended that you complete Data Fundamentals.

This module is part of these learning paths:

• Share data with Azure Data Share

Quiz 1: Knowledge check

Q1. What is one of the two technical ways of sharing data within Azure Data Share?

• In-place sharing.
• External sharing
• Micro sharing

Q2. What action prevents access to an Azure Data Share of a recipient that already accepted the invitation and configured the share subscription?

• Delete the invitation
• Revoke access
• Perform no action. Accepted invitations time out after 30 days

Module 2: Send and receive data using Azure Data Share and transform data using Azure Data Factory

Learn how to ingest data from Azure Data Share into Azure Data Factory pipelines to build automated ingestion pipelines.

Learning objectives:

After completing this module, you will be able to:

• Receive data using Azure Data Share
• Ingest data into Azure Data Lake Gen 2 using Azure Data Factory
• Join and transform data with Mapping Flow in Azure Data Factory
• Sink a dataset into Azure Synapse Analytics using Azure Data Factory
• Publish a pipeline run in Azure Data Factory

Prerequisites:

Before taking this module, it is recommended that you complete the following modules:

• Data Fundamentals
• Introduction to Azure Data Share
• Introduction to Azure Data Factory
• Introduction to Azure Synapse Analytics

This module is part of these learning paths:

• Share data with Azure Data Share

Quiz 1: Knowledge check

Q1. What is a logical grouping of activities in Azure Data Factory?

• Linked Service
• Pipeline
• Sink

Q2. When is it possible to add or remove datasets if created with Azure Data Share?

• It is possible to add or remove datasets within Azure Data Share after it has been created.
• It is only possible to remove or add datasets before it’s sent within Azure Data Share.
• It is not possible to add or remove datasets if created with Azure Data Share.

Q3. What should be done when a connector in data factory is not supported in mapping data flow in order to transform data from one of these sources?

• Use an aggregate transformation in Dataflow.
• Use a group by activity in Dataflow.
• Ingest the data into a supported source using the copy activity.

Conclusion:

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This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.

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