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Exam DP-700 All Questions

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Exam DP-700 topic 1 question 11 discussion

Actual exam question from Microsoft's DP-700
Question #: 11
Topic #: 1
[All DP-700 Questions]

HOTSPOT -
You have a Fabric workspace named Workspace1_DEV that contains the following items:
10 reports

Four notebooks -

Three lakehouses -

Two data pipelines -

Two Dataflow Gen1 dataflows -

Three Dataflow Gen2 dataflows -
Five semantic models that each has a scheduled refresh policy
You create a deployment pipeline named Pipeline1 to move items from Workspace1_DEV to a new workspace named Workspace1_TEST.
You deploy all the items from Workspace1_DEV to Workspace1_TEST.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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SamuComqi
Highly Voted 3 months, 3 weeks ago
NO: only metadata will be deployed to the target starge (https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/understand-the-deployment-process?tabs=new#item-properties-copied-during-deployment) YES: Gen1 dataflows will be deployed NO: Refresh schedules will not be deployed (https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/understand-the-deployment-process?tabs=new#item-properties-copied-during-deployment)
upvoted 22 times
ChenFu
2 months ago
No No Yes
upvoted 3 times
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saikot
Most Recent 1 day, 16 hours ago
No Yes Yes data from semantic models will be deployed in target: No. Deployment pipelines deploy the metadata of semantic models (datasets), not the actual data. The data in the target workspace will depend on the data sources configured for those semantic models and will need to be refreshed in the target environment. data flow gen1 will be deployed in target: Yes. Dataflow Gen1 dataflows are deployed as part of the pipeline. Their definition and query logic will be moved to the target workspace. However, similar to semantic models, the data they process will be refreshed based on the target environment's data sources and refresh configurations. scheduled refresh policy will be deployed in target: Yes. The scheduled refresh policy configured for the semantic models in the source workspace is typically deployed along with the semantic model metadata to the target workspace. You should verify the schedule in the target environment after deployment.
upvoted 1 times
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fassil
2 months ago
No/NO/NO Item properties that are not copied The following item properties aren't copied during deployment: Data - Data isn't copied. Only metadata is copied URL ID Permissions - For a workspace or a specific item Workspace settings - Each stage has its own workspace App content and settings - To update your apps, see Update content to Power BI apps Personal bookmarks The following semantic model properties are also not copied during deployment: Role assignment Refresh schedule Data source credentials Query caching settings (can be inherited from the capacity) Endorsement settings Incremental refresh settings aren't copied in Gen 1.
upvoted 2 times
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mixonfreddy
4 months, 1 week ago
Selected Answer: A
Yes/Yes/No
upvoted 1 times
GHill1982
4 months ago
No/Yes/No
upvoted 3 times
Marco44
3 months, 3 weeks ago
No/No/No Deployment pipelines do not support Dataflow Gen1 dataflows. These need to be manually migrated or recreated in the target stage. Only Dataflow Gen2 is supported in deployment pipelines.
upvoted 7 times
GHill1982
3 months, 3 weeks ago
I believe Dataflow Gen1 is supported (aka Power BI Dataflows) , see https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/intro-to-deployment-pipelines?tabs=new#supported-items
upvoted 7 times
SannaLH
1 month, 3 weeks ago
GHill is correct. Power BI dataflows are listed in the first link. And here it is called Dataflow Gen1: https://learn.microsoft.com/en-us/fabric/data-factory/dataflows-gen2-overview
upvoted 1 times
SannaLH
1 month, 3 weeks ago
No sorry, Semantic models are supported as long as they're not PUSH. https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/intro-to-deployment-pipelines?tabs=new-ui#supported-items
upvoted 2 times
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