Microsoft Azure Fundamentals AZ-900
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Ultimate access to all questions.
Your company is planning to migrate a large dataset from an on-premises Hadoop cluster to Azure. The dataset is several terabytes in size, and the migration must be completed within a tight deadline while ensuring cost-effectiveness and minimal impact on ongoing operations. Additionally, the solution must support future scalability and compliance with data governance policies. Which of the following combinations of Azure tools and services would you recommend to achieve these objectives? (Choose two.)
A
Azure Data Factory for orchestration and scheduling, AzCopy for high-performance data transfer, and Azure Blob Storage for cost-effective storage.
B
Azure Data Box for secure and efficient physical data transfer, Azure Blob Storage for scalable storage, and Azure HDInsight for immediate data processing needs.
C
Azure Data Lake Storage for optimized storage of big data, Azure Databricks for advanced analytics, and Azure Data Factory for seamless orchestration.
D
Azure Data Box for handling large-scale data transfers offline, Azure Data Lake Storage for high-performance analytics storage, and Azure Data Factory for managing the data migration workflow.
E
All of the above options are suitable for different scenarios, but considering the specific requirements of cost-effectiveness, efficiency, and scalability, which two options are the most appropriate?