Cost Optimization ML Quiz

Quiz covering Infrastructure Optimization

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   Which of the following cloud infrastructure strategies is most effective for reducing costs during the 'Inference' phase of an ML lifecycle when traffic is highly unpredictable?

2. 2

   What is the primary financial benefit of utilizing Spot Instances for distributed model training?

3. 3

   When optimizing storage costs for a large ML project, which data lifecycle policy is considered best practice?

4. 4

   You are managing a model that requires GPUs for inference. Which approach would be most cost-effective if you have a consistent baseline load with occasional bursts of higher traffic?

5. 5

   In a distributed training environment, you notice high costs associated with inter-node communication. Which optimization strategy addresses this specifically?