Q: 11
DRAG DROP Match the Azure services to appropriate requirements. To answer, drag the appropriate services from the column on the left to its requirement on the right. Each service may be used once. more than once, or not at all. 
Drag & Drop
Discussion
Azure Data Factory → Bucket 1, Azure Data Lake Storage → Bucket 2, Azure Synapse Analytics → Bucket 3. This matches what I saw in some practice sets. ADF is for ingest/transform, ADLS holds the raw data, and Synapse is used to query/analyze it in SQL-like fashion. Pretty sure this is what exam questions are after.
Azure Data Factory → Bucket 1, Azure Data Lake Storage → Bucket 2, Azure Synapse Analytics → Bucket 3. I don't think Azure SQL Database fits here since it can't natively handle Parquet files for direct tabular access like Synapse does-easy trap to pick that one if you're thinking just "SQL." Used a similar mapping on other practice sets.
Data Factory → Bucket 1, Data Lake Storage → Bucket 2, Synapse Analytics → Bucket 3. I don't think SQL Database fits, trap answer.
Data Factory to Bucket 1, Data Lake Storage to Bucket 2, Synapse Analytics to Bucket 3. Confident this follows typical use cases.
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