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Microsoft Certified: Azure Solutions Architect Expert · Microsoft
Step Sequence / Reordering Question
Add and arrange the steps in the correct execution order.
Hotspot Solution:
From Copilot: To meet the requirements for ingesting data from Data Lake Storage into hash-distributed tables, you should recommend A Dedicated SQL pool. This option is designed for large-scale, high-performance, and secure analytics on Azure. For implementing, querying, and updating data in Delta Lake, you should recommend A serverless Apache Spark pool. This option allows you to run big data analytics and artificial intelligence workloads with Apache Spark, which is compatible with Delta Lake. These recommendations align with Azure's best practices for performance and scalability when working with Synapse and Data Lake Storage Gen2. If you need further details or assistance with the setup, feel free to ask.
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Got this on may. 02, 2025 , Score 925, I choose 1-Dedicated SQL pool 2- Serverless Apache Spark pool
1. Ingest data from Data Lake Storage into hash-distributed tables: • A dedicated SQL pool Explanation: Hash-distributed tables are a feature of dedicated SQL pools in Azure Synapse. They allow for efficient data distribution and parallel processing, which is ideal for large-scale data ingestion from Data Lake Storage. 2. Implement, query, and update data in Delta Lake: • A serverless Apache Spark pool Explanation: Serverless Apache Spark pools in Azure Synapse support Delta Lake, providing full read and write capabilities. They allow you to implement, query, and update Delta Lake tables effectively. Answer Area: 1. A dedicated SQL pool 2. A serverless Apache Spark pool
dedicated SQL pool serverless Apache Spark pool