A data science team is running a batch inference job that is not time-sensitive. Which cost optimization strategy would be most appropriate to apply?

Migrating the job to a more expensive, higher-performance instance type to finish faster

Right-sizing the compute resources to match the workload's actual requirements

Autoscaling the cluster based on real-time demand

Using spot instances for the compute nodes

Which tool or service is commonly used to track and analyze cloud spending across an organization?

Container orchestration platform

Cloud cost management dashboard

Security information and event management (SIEM) system

A company runs a batch processing job that analyzes customer feedback. The job runs every hour and takes 15 minutes. The job is not time-sensitive and can be interrupted. The company wants to reduce compute costs. Which approach is most cost-effective?

Use a larger instance type to finish the job faster.

Use spot instances for the job.

Use on-demand instances but schedule the job to run during off-peak hours.

Use reserved instances for the job.

Which practice is essential for preventing overspending on AI cloud resources?

Provisioning resources in multiple regions to ensure availability

Using only on-demand instances to avoid commitment

Setting up budgets and alerts to notify when spending exceeds thresholds

Disabling all monitoring to reduce overhead

Which of the following is a common strategy to reduce storage costs for an AI training dataset?

Keeping multiple copies of the dataset in different regions for faster access

Moving infrequently accessed data to a lower-cost storage tier

Increasing the replication factor to ensure data durability

Storing all data on high-performance SSD storage

NetAppCertified AI Expert

Domain 5Objective 4

Describe Solutions to Optimize Cost CERTIFIED-AI-EXPERT Practice Questions (Page 5)

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 21–25

21foundation · medium
A data science team is running a batch inference job that is not time-sensitive. Which cost optimization strategy would be most appropriate to apply?
Select an answer first
22foundation · medium
Which tool or service is commonly used to track and analyze cloud spending across an organization?
Select an answer first
23expert · medium
A company runs a batch processing job that analyzes customer feedback. The job runs every hour and takes 15 minutes. The job is not time-sensitive and can be interrupted. The company wants to reduce compute costs. Which approach is most cost-effective?
Select an answer first
24foundation · medium
Which practice is essential for preventing overspending on AI cloud resources?
Select an answer first
25foundation · medium
Which of the following is a common strategy to reduce storage costs for an AI training dataset?
Select an answer first

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