Azure Data Scientists Associate Practice Exam

What type of workloads are F-series VMs good for?

1. Memory-intensive workloads

2. General graphical processing

3. CPU-intensive workloads

4. Deep learning tasks with GPUs

The correct answer is: CPU-intensive workloads

F-series VMs in Azure are specifically designed to handle CPU-intensive workloads. These virtual machines are equipped with a higher CPU-to-memory ratio, making them ideal for applications that require significant processing power, such as gaming, batch processing, web servers, analytics, and machine learning model training where CPU speed is paramount. The architecture of F-series VMs ensures that tasks which are compute-bound will perform optimally due to their robust CPU capabilities. This design allows users to run complex calculations and handle extensive data in applications that demand considerable processing efficiency. While other types of workloads, such as memory-intensive tasks, may be better suited for different VM series that emphasize RAM over CPU, the F-series remains focused on delivering exceptional performance for computational tasks. Similarly, workloads that require graphics processing or deep learning tasks generally utilize other specialized VM series that are optimized for graphical and parallel processing capabilities, respectively.