Question 66

A retail data engineering team is implementing a lakehouse on Azure Databricks using the medallion architecture and Unity Catalog. Raw JSON order events land in an external volume and must flow through cleansing, deduplication, and enrichment before being aggregated for the executive sales dashboard. You are designing the order of operations for a single end-to-end transformation. You must place each processing step in the correct sequence so that data quality improves incrementally from raw ingestion to business-ready aggregates, following Databricks' recommended medallion pattern. Drag each processing step on the left to the correct position in the pipeline sequence on the right. Each step is used exactly once. ```mermaid flowchart LR subgraph Tiles["Processing steps (tiles)"] T1["Ingest raw JSON with Auto Loader,<br/>append-only, minimal transformation"] T2["Pre-compute daily revenue<br/>aggregates as a materialized view"] T3["Deduplicate, enforce schema,<br/>and join to dimension tables"] T4["Serve curated data marts<br/>to the BI dashboard"] end subgraph Slots["Pipeline sequence (slots)"] S1["Slot 1 — Bronze"] S2["Slot 2 — Silver"] S3["Slot 3 — Gold"] S4["Slot 4 — Consumption"] end S1 --> S2 --> S3 --> S4 ```