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Network Appliance NS0-901 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Software Architectures | 18% | - MLOps and LLMOps Ecosystems
|
| Topic 2: AI Lifecycle | 27% | - Model Development
|
| Topic 3: AI Hardware Architectures | 18% | - NetApp Architectures
|
| Topic 4: AI Overview | 15% | - AI Deployment Models
|
| Topic 5: AI Common Challenges | 22% | - Resource Management
|
Network Appliance NetApp Certified AI Expert Sample Questions:
1. Which of the following applications use AI in the healthcare industry? (Choose two)
A) Diagnosing diseases
B) Automating financial reporting
C) Managing hospital supply chains
D) Predicting patient outcomes
2. A development team is building a generative AI application that must answer questions based on a constantly changing internal knowledge base of company documents. They want to provide the model with up-to-date information without altering its core weights and capabilities.
Which approach is most suitable for this requirement?
A) Retrieval-Augmented Generation (RAG), which fetches relevant information from the documents at query time to inform the model's response.
B) Unsupervised learning, which clusters the documents into topics for the model to browse.
C) Fine-tuning, which retrains the model's last few layers on the new documents.
D) Predictive AI, which analyzes the documents to forecast future questions.
3. A data science team reports that their Jupyter notebook pod, which was previously working, is now failing to start. The pod's status is 'CrashLoopBackOff'. An MLOps engineer investigates and finds that the pod's PersistentVolumeClaim (PVC) is bound, but the pod logs show a "Permission denied" error when trying to write to its '/data' mount point.
The engineer checks the Trident backend configuration associated with the pod's StorageClass:
apiVersion: trident.netapp.io/v1
kind: TridentBackendConfig
metadata:
name: ontap-nas-eco
spec:
version: 1
storageDriverName: ontap-nas
managementLIF: 10.10.20.5
dataLIF: 10.10.20.10
svm: svm-prod-ds
exportPolicy: read-only-policy
What is the most likely cause of the "Permission denied" error?
A) The 'storageDriverName' should be 'ontap-san' for all AI workloads.
B) The Kubernetes pod has an invalid 'securityContext' that prevents it from writing to any volume.
C) The 'dataLIF' is configured incorrectly and is unreachable from the Kubernetes nodes.
D) The Trident backend is configured to use an export policy ('read-only-policy') that does not grant write permissions to the Kubernetes nodes.
4. Which AI technology is used to generate new, never-before-seen content such as images or text?
A) Predictive AI
B) Reinforcement AI
C) Supervised AI
D) Generative AI
5. Which of the following techniques are used to maximize GPU utilization in AI workloads? (Choose two)
A) Balancing compute and storage workloads efficiently
B) Utilizing CPU-based workloads for all tasks
C) Using larger batch sizes
D) Scheduling GPU-intensive tasks during off-peak hours
Solutions:
| Question # 1 Answer: A,D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: A,D |
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