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Microsoft Certified: Azure Solutions Architect Expert · Microsoft
Interactive Drag & Drop Matching
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1. Data Warehouse: Azure Synapse Analytics (Dedicated SQL Pool) ✅ Highly scalable for large data loads. ✅ Optimized for structured data and complex queries from multiple SQL Server sources. ✅ Supports parallelized ingestion for fast processing and transformations. ✅ Integrates with Azure Blob Storage and Azure Data Factory for smooth ETL workflows. 2. Serving Layer: Azure Analysis Services or Power BI Premium ✅ Supports OLAP models with efficient aggregation for thousands of users. ✅ Optimized for interactive analytics and complex multidimensional queries. ✅ Provides in-memory caching for real-time insights. ✅ Direct integration with Azure Synapse for performance optimization. Final Architecture Summary: Ingest data into Blob Storage ➝ Process and transform using Azure Data Factory ➝ Load into Synapse Dedicated SQL Pool ➝ Refresh OLAP model in Azure Analysis Services or Power BI Premium ➝ Expose data to end users efficiently
Why not Apache Spark pool?
The given answer is correct. Azure Synapse Analytics dedicated SQL pool: Provides a scalable, high-performance data warehouse solution that can efficiently handle large amounts of data and supports complex queries. Azure Analysis Services: Offers powerful analytical processing (OLAP) capabilities, enabling fast and interactive data analysis for thousands of end users.