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Answer: Azure Batch, designed specifically for large-scale parallel and high-performance computing jobs, optimizing resource use and cost for batch processing., Azure Virtual Machines with GPU instances, suitable for scenarios requiring direct control over the environment and high-performance computing capabilities.
Azure Batch is the most suitable for large-scale parallel and high-performance computing jobs, aligning with the need to process large datasets and run complex algorithms efficiently. However, if the scenario requires direct control over the computing environment alongside batch processing capabilities, combining Azure Virtual Machines with GPU instances and Azure Batch (option E) would be optimal. This combination addresses both high-performance computing needs and the flexibility of batch processing, though the primary recommendation remains Azure Batch for its specialized design towards such workloads.
Author: LeetQuiz Editorial Team
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You are designing a compute solution for a data analytics platform that must process large datasets and execute complex algorithms with high efficiency. The solution must optimize for cost, scalability, and performance. Given these requirements, which Azure compute service(s) would you recommend? (Choose two options)
A
Azure Virtual Machines with GPU instances, suitable for scenarios requiring direct control over the environment and high-performance computing capabilities.
B
Azure Functions, ideal for event-driven, serverless execution of small, isolated tasks but may not be the best fit for large-scale data processing.
C
Azure Kubernetes Service (AKS), which provides orchestration for containerized applications, offering scalability and flexibility for complex workflows.
D
Azure Batch, designed specifically for large-scale parallel and high-performance computing jobs, optimizing resource use and cost for batch processing.
E
Both Azure Virtual Machines with GPU instances and Azure Batch, combining direct control and high-performance computing with optimized batch processing capabilities.
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