A company has a cloud budget of $10,000 per month for AI workloads. In the middle of the month, they receive an alert that they have already spent 80% of the budget. The finance team wants to prevent overspending while minimizing impact on ongoing projects. What should they do?

Immediately stop all non-critical AI workloads.

Ignore the alert and continue as usual.

Review cost reports to identify the highest-spending projects and optimize them.

Increase the budget to avoid disruption.

A healthcare company stores years of medical imaging data for AI model training. The data is accessed frequently for the first 30 days after acquisition, then rarely. Compliance requires retaining the data for 7 years. The storage bill is growing rapidly. What is the most effective strategy to reduce storage costs while maintaining compliance?

Apply a lifecycle policy that transitions data to cooler storage tiers after 30 days and to archive after 1 year.

Store all data in the same hot tier but enable deduplication.

Delete data older than 30 days to reduce storage footprint.

Compress all data and store it in a single archive tier from day one.

A company runs a real-time inference service for a customer-facing application. The traffic pattern is predictable: high during business hours and low at night. The service runs on a fixed cluster of GPU instances. The CFO wants to reduce compute costs without affecting the service's availability. What should you recommend?

Implement autoscaling to scale down the cluster during low-traffic periods.

Replace the GPU instances with CPU instances to reduce cost.

Use spot instances for the entire cluster to get the lowest price.

Purchase reserved instances for the entire cluster to get a discount.

In a cost-benefit analysis of an AI solution, which component typically represents the largest ongoing cost for a large-scale deep learning training workload?

Compute resources (GPU/TPU instances)

A data science team uses a shared cloud environment for AI experiments. The monthly bill has been increasing unexpectedly. The team lead wants to identify which projects are driving the costs and set a budget to prevent overspending. What should the team lead do first?

Review the bill manually at the end of the month.

Switch all instances to spot instances to lower the bill.

Enable cost tracking with resource tags and set up budget alerts.

Implement autoscaling on all compute resources to reduce usage.

NetAppCertified AI Expert

Domain 5Objective 4

Describe Solutions to Optimize Cost CERTIFIED-AI-EXPERT Practice Questions (Page 4)

Part of the AI Common Challenges domain, which accounts for 22% of the CERTIFIED-AI-EXPERT exam. NetApp does not publish an official question count, but from its 90-minute exam (~35–60 total, ~8–13 in this domain), expect 1–2 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

5concepts

22%of the exam

Questions 16–20

16expert · medium
A company has a cloud budget of $10,000 per month for AI workloads. In the middle of the month, they receive an alert that they have already spent 80% of the budget. The finance team wants to prevent overspending while minimizing impact on ongoing projects. What should they do?
Select an answer first
17application · medium
A healthcare company stores years of medical imaging data for AI model training. The data is accessed frequently for the first 30 days after acquisition, then rarely. Compliance requires retaining the data for 7 years. The storage bill is growing rapidly. What is the most effective strategy to reduce storage costs while maintaining compliance?
Select an answer first
18application · medium
A company runs a real-time inference service for a customer-facing application. The traffic pattern is predictable: high during business hours and low at night. The service runs on a fixed cluster of GPU instances. The CFO wants to reduce compute costs without affecting the service's availability. What should you recommend?
Select an answer first
19foundation · medium
In a cost-benefit analysis of an AI solution, which component typically represents the largest ongoing cost for a large-scale deep learning training workload?
Select an answer first
20application · medium
A data science team uses a shared cloud environment for AI experiments. The monthly bill has been increasing unexpectedly. The team lead wants to identify which projects are driving the costs and set a budget to prevent overspending. What should the team lead do first?
Select an answer first

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Describe Solutions to Optimize Cost CERTIFIED-AI-EXPERT Practice Questions (Page 4)

Questions 16–20

A company has a cloud budget of $10,000 per month for AI workloads. In the middle of the month, they receive an alert that they have already spent 80% of the budget. The finance team wants to prevent overspending while minimizing impact on ongoing projects. What should they do?

In a cost-benefit analysis of an AI solution, which component typically represents the largest ongoing cost for a large-scale deep learning training workload?

A data science team uses a shared cloud environment for AI experiments. The monthly bill has been increasing unexpectedly. The team lead wants to identify which projects are driving the costs and set a budget to prevent overspending. What should the team lead do first?

Keep studying — AI Common Challenges