DP-750試験無料問題集「Microsoft Implementing Data Engineering Solutions Using Azure Databricks 認定」

Drag and Drop Question
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a catalog named finance, finance contains two schemas named default and procurement.
You need to create a table named assets in the procurement schema, assets must contain the following columns:
- asset_id
- asset_type
- asset_name
How should you complete the SQL statement? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
正解:
Which feature provides end-to-end tracking of data movement in Databricks?

解説: (GoShiken メンバーにのみ表示されます)
You need to deploy Databricks Asset Bundles to a development environment. The solution must support automated and repeatable deployments across environments. What should you use?

解説: (GoShiken メンバーにのみ表示されます)
Hotspot Question
You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to ensure that data lineage is captured and can be reviewed for tables accessed by Databricks notebooks and jobs. The solution must minimize administrative effort.
Which compute configuration should you use to capture the data lineage and what should you use to review the data lineage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解:
You need to ingest real-time IoT data into Delta Lake with exactly-once guarantees. Which approach should you use?

解説: (GoShiken メンバーにのみ表示されます)
You have an Azure Databricks workspace named Workspace1 that uses a Git repository. The repository contains a Databricks notebook named Notebook1.
From the main branch, you create a feature branch named Branch1 and commit changes to Notebook1. Another user commits changes to Notebook1 in main.
When you attempt to merge Branch1 into main, the merge fails due to conflicts.
You need to merge Branch1 into the main branch. The solution must ensure that Notebook1 includes all the changes from both the branches.
What should you do?

解説: (GoShiken メンバーにのみ表示されます)
What improves join performance for small lookup tables?

You have an Azure Databricks workspace that is enabled for Unity Catalog.
You need to recommend a pipeline that ingests files from cloud storage, performs cleansing and enrichment transformations, and writes curated Delta tables for analytics. The solution must minimize development effort and provide built-in monitoring and automatic retries.
What should you include in the recommendation?

解説: (GoShiken メンバーにのみ表示されます)