A company must delete AI training data that contains personal information after a retention period, but they must also ensure that the data is encrypted during its lifecycle and that deletion is verifiable. They use NetApp storage. Which approach should they take?

Use application-level encryption and overwrite the data.

Enable NetApp Aggregate Encryption and delete the volumes.

Enable NetApp Volume Encryption and use SnapDelete to securely delete data with a deletion certificate.

Move the data to an archive tier and leave it there.

Which protocol is commonly used to secure data in transit for AI storage access?

SNMP (Simple Network Management Protocol)

HTTP (Hypertext Transfer Protocol)

A company wants to isolate its AI storage network from the rest of the corporate network to prevent unauthorized access. They use NetApp storage with multiple SVMs. Which configuration should they implement?

Use the same SVM for all workloads and rely on user authentication.

Enable SMB encryption on the SVM.

Create a dedicated SVM for AI workloads and place it in a separate VLAN with firewall rules allowing only specific IP ranges.

Disable all network protocols except NFS.

A government agency must ensure that AI training data used for public safety is not tampered with. They need to detect any unauthorized changes to the data. Which method should they use?

Use NetApp SnapMirror to replicate the data to another site.

Enable NetApp SnapLock Compliance mode on the volumes.

Generate checksums for the datasets and store them in a secure, separate location.

Enable NetApp Volume Encryption on the volumes.

Which practice is part of a secure data lifecycle management strategy for AI storage?

Storing all data in a single tier without any archival or deletion schedule.

Encrypting data only during the archival phase.

Allowing all users to delete any dataset at any time.

Defining and enforcing retention policies that specify how long data must be kept and when it should be archived or deleted.

NetAppCertified AI Expert

Domain 5Objective 5

Describe Solutions to Secure Storage for AI Workloads CERTIFIED-AI-EXPERT Practice Questions (Page 1)

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 24 practice questions to prepare you well beyond it. (estimate)

24questions here

5free pages

6concepts

22%of the exam

Questions 1–5

1expert · hard
A company must delete AI training data that contains personal information after a retention period, but they must also ensure that the data is encrypted during its lifecycle and that deletion is verifiable. They use NetApp storage. Which approach should they take?
Select an answer first
2foundation · easy
Which protocol is commonly used to secure data in transit for AI storage access?
Select an answer first
3application · medium
A company wants to isolate its AI storage network from the rest of the corporate network to prevent unauthorized access. They use NetApp storage with multiple SVMs. Which configuration should they implement?
Select an answer first
4application · medium
A government agency must ensure that AI training data used for public safety is not tampered with. They need to detect any unauthorized changes to the data. Which method should they use?
Select an answer first
5foundation · easy
Which practice is part of a secure data lifecycle management strategy for AI storage?
Select an answer first

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