What Actually Deploys from Workspace1_DEV to Workspace1_TEST in a Fabric Deployment Pipeline?
Answer
No — semantic model data is not deployed to Workspace1_TEST; Yes — the two Dataflow Gen1 dataflows are deployed; No — the semantic model refresh schedules are not deployed.
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.
Community Insight
The item tests which item properties survive a deployment — definitions and supported item types move, data and stage-specific settings like refresh schedules do not — and the trap is assuming Dataflow Gen1 is excluded because Gen2 gets all the attention.
Fabric deployment pipelines promote item definitions, not data: semantic model data and scheduled refresh policies stay in the source stage, while Dataflow Gen1 items are still deployable alongside Dataflow Gen2. This page settles the three Workspace1_DEV to Workspace1_TEST statements as No, Yes, No.
Learners often answer "No" to the Dataflow Gen1 statement because the documentation's supported-items table leads with Dataflow Gen2 and the workspace lists both flow generations; they treat Gen1 as legacy and quietly skip the two Gen1 dataflows.
Community Discussion (30 comments)
alqazqzy.asseel
👍 1
No for all options, Deployment pipelines do not copy the data , it copy metadata only. Also Fabric pipelines are built for modern Fabric items so legacy items such as Dataflow Gen1 is not supported by deployment pipeline
AmirAhmadabadi
👍 1
No , Deployment pipelines deploy the metadata/definition of semantic models, not the actual data loaded into them No, Dataflow Gen1 is not supported by Fabric deployment pipelines. No , eployment pipelines do not deploy: Refresh schedules Credentials Gateway bindings
Josekonoor
👍 1
Model alone get deployed but no data; dataflow gen 1 can be deployed; Schedules do not get along with pipeline deployemnt
Mustafa_Shazly
👍 2
No https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/understand-the-deployment-process?tabs=new-ui#assign-a-workspace-to-an-empty-stage Yes (ncremental refresh settings aren't copied in Gen 1.) mean Gen 1 will go but with limit https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/understand-the-deployment-process?tabs=new-ui#item-properties-that-are-not-copied No https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/understand-the-deployment-process?tabs=new-ui#item-properties-that-are-not-copied
certs4pk
👍 1
y is this question still asking on gen1? isn't it deprecated as of dec'25? should this question b updated?
Psycho
👍 2
No, no, no
mhal
👍 1
A. No. Data will not be transported B/C. Somehow a trick question in the sense, that (what I get from the documentation) B: Dataflow Gen1 will be cloned, but don't have really deployment support, so I would say No C: Refresh schedules are copied, but not activated, so I would again say No
Mustafa_Shazly
👍 1
in list but there some confusion = Get 2 is listed under Data Factory items = Gen 1 some times called dataflow only or legacy is listed under Power BI items
Acrious
👍 4
N, Y, N Gen1 flows are supported, just have to fix potential other things (connections etc)
VenkataPhaniPavanKumar
👍 4
Answer 1) No 2) No 3) Yes Here’s how each statement holds up in the context of Microsoft Fabric deployment pipelines: 1) Data from the semantic models will be deployed to the target stage → No Only the metadata (definition) of the semantic models is deployed. The actual data is not copied—you’ll need to refresh the models in the target workspace after deployment. 2) The Dataflow Gen1 dataflows will be deployed to the target stage → No Dataflow Gen1 is not supported in Fabric deployment pipelines. Only Dataflow Gen2 items are deployable. 3) The scheduled refresh policies will be deployed to the target stage → Yes Scheduled refresh settings for semantic models are included in the deployment and will be carried over to the target stage
Wipag
👍 4
Statement 1: Data from the semantic models will be deployed to the target stage. ❌ No • Explanation: Deployment pipelines do not deploy data from semantic models. Only the metadata (like tables, measures, and relationships) is deployed. Data must be refreshed in the target workspace after deployment. ⸻ Statement 2: The Dataflow Gen1 dataflows will be deployed to the target stage. ❌ No • Explanation: Dataflow Gen1 items are not supported by Fabric deployment pipelines. Only Dataflow Gen2 is supported. Gen1 must be recreated or migrated manually. ⸻ Statement 3: The scheduled refresh policies will be deployed to the target stage. ❌ No • Explanation: Scheduled refresh policies are not carried over in deployment pipelines. You must manually configure the refresh schedules in the target workspace after deploying.
CertPeople
👍 4
1 -> NO, only metadata are deployed 2 -> NO, dataflow GEN1 are not supported by deployment pipelines 3 -> NO, Refresh schedules are semantic model object attributes that are not deployed by deployment pipelines
NNPRN
👍 1
No, Yes, No
5dcd3a8
👍 6
No/No/No 1.The following item properties aren't copied during deployment: Data - Data isn't copied. Only metadata is copied 2.When you deploy content from one pipeline stage to another, the copied content can contain the following items: Data Engineering items: Environment GraphQL (preview) Lakehouse (preview) Notebook Spark Job Definitions (preview) User Data Functions (preview) Data Factory items: Copy Job (preview) Dataflows gen2 3.The following semantic model properties are also not copied during deployment: Role assignment Refresh schedule https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/understand-the-deployment-process?tabs=new-ui#item-properties-that-are-not-copied https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/intro-to-deployment-pipelines?tabs=new-ui#supported-items
Dwarakkrishna
👍 2
No, Yes, No Item properties copied during deployment 1.Data sources (deployment rules are supported) 2.Parameters (deployment rules are supported) 3.Report visuals 4.Report pages 5.Dashboard tiles 6.Model metadata 7.Item relationships 8.Sensitivity labels Item properties that are not copied 1.Data - Data isn't copied. Only metadata is copied 2.URL 3.ID 4.Permissions - For a workspace or a specific item 5.Workspace settings - Each stage has its own workspace 6.App content and settings - To update your apps, see Update content to Power BI apps 7.Personal bookmarks 8.The following semantic model properties are also not copied during deployment: 9.Role assignment 10.Refresh schedule 11.Data source credentials 12.Query caching settings (can be inherited from the capacity) 13.Endorsement settings Link-https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/understand-the-deployment-process?tabs=new-ui
Juanes55
👍 16
Data from the semantic models will be deployed to the target stage. No – The data itself is not deployed. Only the structure/definition (metadata) of the semantic model is deployed. You'll need to refresh the model in the target stage to populate it with data. The Dataflow Gen1 dataflows will be deployed to the target stage. No – Only Dataflow Gen2 is supported in Microsoft Fabric deployment pipelines. Gen1 dataflows are not deployable through Fabric pipelines. The scheduled refresh policies will be deployed to the target stage. No – Scheduled refresh settings are not included in deployments. You must configure them separately in the target workspace.
Sr18
👍 3
No, Yes, No I have pipelines and they do deploy Gen1 Dataflows :) jokes apart, Indeed Dataflows Gen 1 are supported with deployment pipelines. Only problem you need to configure the gateways and migrate connections and schedules and creds also.
saikot
👍 1
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.
SannaLH
👍 2
NO sorry again. I misread. The first question is - is DATA from semantic model copied. It is not. GHill is correct after all: https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/understand-the-deployment-process?tabs=new-ui#assign-a-workspace-to-an-empty-stage
SannaLH
👍 2
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
fassil
👍 5
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.
SannaLH
👍 2
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
GHill1982
👍 9
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
SamuComqi
👍 51
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)
92ef42d
👍 4
Gen1 is not in the list of the supported items: https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/intro-to-deployment-pipelines?tabs=new-ui#supported-items
ziggy1117
👍 2
N Y N Gen 1 dataflows will indeed be deployed: https://learn.microsoft.com/en-us/fabric/cicd/deployment-pipelines/create-rules?utm_source=chatgpt.com&tabs=new-ui
ChenFu
👍 8
No No Yes
Marco44
👍 9
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.
mixonfreddy
👍 1
Selected: A
Yes/Yes/No
GHill1982
👍 4
No/Yes/No
Comments & Corrections
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Expert Analysis
Why the Answer Is Correct
A deployment pipeline is a metadata promotion mechanism, and the Fabric documentation states plainly that data is not copied between stages — only item definitions travel, so the five semantic models arrive in Workspace1_TEST as structures that must be refreshed there before they hold any rows. The same documentation lists Dataflow Gen1 (the Power BI dataflow item) among supported item types, so the two Gen1 dataflows in Workspace1_DEV are deployed to Workspace1_TEST just like the three Dataflow Gen2 dataflows and the two data pipelines. Scheduled refresh policies are stage-scoped settings, not part of the item definition, so the refresh schedules attached to the five semantic models are not carried over and must be reconfigured in the test workspace. That yields No for data, Yes for Dataflow Gen1, and No for refresh schedules.Why Other Candidate Answers Are Wrong
Answering Yes to the data statement confuses deployment with a data copy or a refresh — nothing in the pipeline moves rows or triggers the target models to load. Answering No to Dataflow Gen1 assumes only Gen2 is supported; Gen1 dataflows have been deployable since Power BI deployment pipelines and remain a supported Fabric item, so the flows themselves land in the target stage even though their stored data and connection credentials may need attention. Answering Yes to the refresh statement ignores that each stage is an independent workspace with its own settings, which is exactly why the exam pairs semantic models with refresh policies in the scenario.Community Comment Notes
SamuComqi, the highest-voted commenter, works straight from the deployment-process doc and concludes that "only metadata" reaches the target stage while "Gen1 dataflows will be deployed", and that refresh schedules will not be deployed — matching the No/Yes/No verdict. GHill1982 pushed back on the anti-Gen1 camp by pointing at the supported-items list and describing Gen1 as the Power BI Dataflows item, while Acrious summarized the same pattern as "N, Y, N" with a note that connections may need fixing. Juanes55 and Marco44 argue that only Dataflow Gen2 is supported and warn that Gen1 must be recreated manually, which is the central distractor to reject. Several voters such as fassil and 5dcd3a8 correctly quote "Data isn't copied. Only metadata is copied" but then extend that reasoning to Gen1 support, which is where their answer chain breaks.Official Reference
Exam Strategy
Separate the statements into "item definition", "item type supported", and "stage-specific setting" before answering — data and refresh schedules belong to the last two buckets and almost always answer No. For any legacy-looking item such as Dataflow Gen1, check the supported-items table rather than assuming deprecation.
Frequently Asked Questions
Do I need to refresh the five semantic models in Workspace1_TEST after the deployment pipeline runs?
Yes. Only the model definition is deployed, so the models arrive empty in the target stage and you must refresh them (and recreate the refresh schedule) to load data.
Are the two Dataflow Gen1 dataflows really promoted to Workspace1_TEST alongside the three Dataflow Gen2 flows?
Yes, Dataflow Gen1 is a supported item type in Fabric deployment pipelines, so the flows deploy as definitions — but verify connections and credentials per stage after deployment.