Google Cloud Professional Machine Learning Engineer — Question 58

You are using transfer learning to train an image classifier based on a pre-trained EfficientNet model. Your training dataset has 20,000 images. You plan to retrain the model once per day. You need to minimize the cost of infrastructure. What platform components and configuration environment should you use?

Answer options

• A. A Deep Learning VM with 4 V100 GPUs and local storage.
• B. A Deep Learning VM with 4 V100 GPUs and Cloud Storage.
• C. A Google Kubernetes Engine cluster with a V100 GPU Node Pool and an NFS Server
• D. An AI Platform Training job using a custom scale tier with 4 V100 GPUs and Cloud Storage

Correct answer: D

Explanation

Option D is correct as it leverages the AI Platform Training, which is designed for scalable model training and reduces infrastructure costs through efficient resource management. Options A and B involve using VMs that may not optimize cost for daily retraining, and option C introduces unnecessary complexity with Kubernetes and NFS, which is not needed for this scenario.