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Copy file name to clipboardExpand all lines: learn-pr/wwl-data-ai/orchestrate-data-movement-transformation-azure-data-factory/7-knowledge-check.yml
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@@ -4,9 +4,9 @@ title: Module assessment
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metadata:
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title: Module assessment
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description: "Knowledge check"
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ms.date: 04/19/2022
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author: wwlpublish
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ms.author: jamesh
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ms.date: 01/08/2026
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author: weslbo
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ms.author: wedebols
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ms.topic: unit
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module_assessment: true
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azureSandbox: false
@@ -15,25 +15,30 @@ durationInMinutes: 3
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quiz:
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title: "Check your knowledge"
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questions:
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- content: "What is a supported connector for built-in parameterization?"
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- content: "Which of the following statements about debugging pipelines in Azure Data Factory is correct?"
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choices:
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- content: "Azure Data Lake Storage Gen2"
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- content: "You must publish a pipeline before you can run it in debug mode."
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isCorrect: false
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explanation: "Incorrect. Azure Synapse Analytics is a supported connector for built-in parameterization for Linked Services in Azure Data Factory."
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- content: "Azure Synapse Analytics"
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explanation: "Incorrect. Pipelines don't need to be published to run in debug mode; debug runs work with unpublished (draft) changes."
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- content: "Debug runs only test the published version of a pipeline."
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isCorrect: false
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explanation: "Incorrect. Debug runs test the current draft version of a pipeline, not only the published version."
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- content: "The Debug feature lets you run pipelines with draft changes and optionally set breakpoints for partial testing."
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isCorrect: true
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explanation: "Correct. Azure Synapse Analytics is a supported connector for built-in parameterization for Linked Services in Azure Data Factory."
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- content: "Azure Key Vault"
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explanation: "Correct. The Debug feature lets you test a pipeline with draft changes, and you can set breakpoints to run only up to a specific activity."
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- content: "Debug runs can't be monitored in the Azure Data Factory UI."
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isCorrect: false
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explanation: "Incorrect. Azure Synapse Analytics is a supported connector for built-in parameterization for Linked Services in Azure Data Factory."
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explanation: "Incorrect. Debug runs can be monitored directly in the Azure Data Factory monitoring interface."
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- content: "What is an example of a branching activity used in control flows?"
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choices:
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- content: "The If-condition"
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isCorrect: true
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explanation: "Correct. An example of a branching activity is *The If-condition* activity which is similar to an if-statement provided in programming languages."
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- content: "Until-condition"
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isCorrect: false
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explanation: "Incorrect. The until activity functionality is similar to a do-until loop used in programming. What it does is running a set of activities (do) in a loop until the condition (until) is met. Therefore it is not an example of a branching activity."
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explanation: "Incorrect. The until activity functionality is similar to a do-until loop used in programming. What it does is running a set of activities (do) in a loop until the condition (until) is met. Therefore it isn't an example of a branching activity."
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- content: "Lookup-condition"
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isCorrect: false
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explanation: "Incorrect. The Lookup activity, will read or look up a record or table name value from any external source. This output can further be referenced by succeeding activities. However, it is not an example of a branching activity."
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explanation: "Incorrect. The Lookup activity will read or look up a record or table name value from any external source. This output can further be referenced by succeeding activities. However, it isn't an example of a branching activity."
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