Last Updated: Aug 05, 2026
No. of Questions: 106 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Section | Weight | Objectives |
|---|---|---|
| AI Lifecycle | 27% | - Model Development
|
| AI Overview | 15% | - AI Deployment Models
|
| AI Hardware Architectures | 18% | - Infrastructure Topologies
|
| AI Software Architectures | 18% | - Development Tools
|
| AI Common Challenges | 22% | - Resource Management
|
1. To meet HIPAA compliance, the first step in the data pipeline is to identify all medical scans that contain embedded PII. The solution must be automated and capable of scanning data in-place on the on-premises ASA system.
Which two technologies should be used to accomplish this identification and tagging task?
(Choose 2.)
A) NetApp BlueXP classification, configured to scan the on-premises ASA working environment.
B) NetApp SnapLock to make the source data immutable before scanning.
C) A custom "PII" category within BlueXP classification to identify specific medical record number formats.
D) A manual review process where technicians visually inspect each scan for PII.
E) A custom Python script that uses regular expressions to search file contents.
2. Which of the following platforms provides tools for model training and deployment specifically for AI workloads?
A) RunAI
B) All of the above
C) Domino Data Labs
D) Google VertexAI
3. What is the primary difference between C-Series and A-Series storage for AI workloads?
A) A-Series is for smaller-scale AI workloads, while C-Series supports large-scale, high-performance AI applications.
B) C-Series supports both file and object-based storage, while A-Series is optimized for object storage.
C) C-Series is designed for high-performance workloads, while A-Series focuses on cost-efficiency for general storage.
D) A-Series provides GPU-based acceleration, while C-Series only supports CPU-based workloads.
4. An AI research team is experiencing slow model training times. Their performance monitoring indicates that the GPUs are frequently idle, waiting for data. They want to implement a single technology change to create a more direct data path between their storage and GPUs.
Their current setup is as follows:
Compute: Server with NVIDIA A100 GPUs
Storage: NetApp AFF A-Series (All-Flash)
Network: 100GbE Ethernet
Data_Path: Storage -> Host CPU/Memory -> GPU Memory
Which technology should the architect recommend to specifically address this data path inefficiency?
A) GPUDirect Storage
B) NetApp SnapMirror
C) A faster CPU in the server
D) NetApp FabricPool
5. A junior administrator is attempting to delete an old, unused Snapshot copy from a production volume to reclaim space but receives an error. The administrator is certain they are using the correct command and have the appropriate 'vsadmin' role.
The command and error are shown below:
cluster-1::> volume snapshot delete -vserver svm_prod -volume app_data -snapshot nightly.2025- 06-15_0015 Error: command failed: This operation is not permitted. Deletion of Snapshot copy "nightly.2025-
06-15_0015" on volume "app_data" in Vserver "svm_prod" requires approval.
Use the "security multi-admin-verify approval show" command to view pending approvals.
What is the most likely reason the administrator cannot delete the Snapshot?
A) The 'vsadmin' role does not have permission to delete Snapshots.
B) Multi-Admin Verification (MAV) is enabled, and the destructive operation requires approval from another designated administrator.
C) The Snapshot is locked by a SnapMirror relationship.
D) The volume is protected by SnapLock, and the Snapshot has not reached its expiry date.
Solutions:
| Question # 1 Answer: A,C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: B |
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