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Implementing Data Engineering Solutions Using Azure Databricks

Topic 1

Question 79

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A developer is implementing a new feature in an Azure Databricks Git folder cloned from a shared GitHub repository. She must complete the full branch-to-merge lifecycle using Databricks' documented workflow: create an isolated branch, push her work, get it reviewed, and reconcile a conflict that arises when she pulls upstream changes that another engineer merged first. For each workflow stage in the table, select the action that correctly completes the recommended Databricks Git folders workflow. ```mermaid flowchart TD S1["Stage 1: Begin isolated work"] --> D1{{"Dropdown 1"}} S2["Stage 2: Save and share work to remote"] --> D2{{"Dropdown 2"}} S3["Stage 3: Get the change into the default branch"] --> D3{{"Dropdown 3"}} S4["Stage 4: A conflict appears after Pull"] --> D4{{"Dropdown 4"}} D1 -.options.- O1["Create Branch in the Git dialog / Detach HEAD / Hard reset"] D2 -.options.- O2["Commit & Push / Abort merge / Delete Git folder"] D3 -.options.- O3["Create a pull request in the Git provider and merge / Force a branch switch / Run a hard reset"] D4 -.options.- O4["Resolve merge conflicts in the Git folders UI, then Continue / Switch branches to discard / Re-clone immediately"] ```