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Last Updated: Aug 30, 2026
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| Section | Weight | Objectives |
|---|---|---|
| AI Software Architectures | 18% | - Scaling and Orchestration
|
| AI Hardware Architectures | 18% | - Infrastructure Topologies
|
| AI Lifecycle | 27% | - Predictive AI vs. Generative AI
|
| AI Overview | 15% | - Machine Learning Fundamentals
|
| AI Common Challenges | 22% | - Resource Management
|
Question 1
Which of the following applications use AI in the healthcare industry? (Choose two)
A. Managing hospital supply chains
B. Diagnosing diseases
C. Automating financial reporting
D. Predicting patient outcomes
Question 2
An AI platform team is investigating poor I/O performance for a specific workload that involves processing hundreds of thousands of small metadata files. The application is running on a Kubernetes cluster with storage provided by a NetApp ONTAP system over NFS. Performance metrics show acceptable network throughput but very high latency for metadata operations (e.g., open, stat, close).
The current storage configuration is as follows:
Storage_System: NetApp AFF A-Series
Protocol: NFSv4.1
Workload_Profile: Metadata-intensive, many small file lookups
Observed_Issue: High latency on metadata operations, slow job completion Which storage architecture would be better suited to handle this specific metadata-intensive workload?
A. A NetApp StorageGRID object storage system.
B. A NetApp E-Series system running a parallel file system like BeeGFS.
C. A NetApp Cloud Volumes ONTAP instance in a different region.
D. A NetApp SnapLock-enabled volume for data protection.
Question 3
The AI training jobs on the AIPod are performing below expectations. The NVIDIA DGX servers' GPUs show low utilization. A performance analysis reveals that the bottleneck is not the storage system itself, but the network path between the storage and the compute nodes.
The current network configuration is as follows:
Network_Fabric: 100GbE Standard Ethernet
Protocol: NFS over TCP/IP
Data_Path: Storage -> Host CPU -> GPU Memory
Which network architecture enhancement would provide the most significant performance improvement by reducing latency and CPU overhead?
A. Isolate the storage traffic on a separate VLAN from the management traffic.
B. Upgrade the network switches to a model with a larger packet buffer.
C. Add more 100GbE network ports to the storage controllers.
D. Implement RDMA over Converged Ethernet (RoCE) and configure GPUDirect Storage.
Question 4
The Chief Information Security Officer (CISO) is concerned about the risk of a ransomware attack encrypting the critical vector database hosted on the NetApp AFF A-Series. The CISO wants a solution that can proactively detect and block a live attack in real-time, not just recover from a backup after the fact.
Which NetApp security feature should the architect enable on the vector database volume to meet this requirement?
A. Multi-Admin Verification (MAV)
B. Autonomous Ransomware Protection (ARP)
C. NetApp SnapLock (Compliance Mode)
D. NetApp Volume Encryption (NVE)
Question 5
An organization is planning to deploy a large AI infrastructure but wants to avoid a large, upfront capital expenditure. They prefer an operational expenditure (OpEx) model where they pay for storage and compute resources as they are consumed. They also need the flexibility to scale resources up or down based on project demands.
Which NetApp consumption model is specifically designed to meet these financial and operational requirements?
A. NetApp Cloud Volumes ONTAP PAYGO licensing only.
B. NetApp Keystone, which provides a subscription-based, pay-as-you-go service for on-premises and cloud storage.
C. A standard capital purchase of AFF and ASA systems.
D. A perpetual licensing model for all ONTAP software features.
Solutions:
| Question 1 Answer: B,D | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: B | Question 5 Answer: B |
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