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| Section | Objectives |
|---|
| Industry Use Cases | - AI applications across industries
- 1. Healthcare AI
- 2. Autonomous systems and agents
- 3. Digital twins
|
| AI and Machine Learning Fundamentals | - AI, ML, DL concepts
- 1. Differences between AI, machine learning, and deep learning
- 2. Training, inference, and prediction workflows
- Algorithm types
- 1. Reinforcement learning
- 2. Supervised learning
- 3. Unsupervised learning
|
| AI Infrastructure and NetApp Solutions | - Converged workloads
- 1. Shared infrastructure design considerations
- 2. AI, HPC, and analytics convergence
- AI-ready data infrastructure
- 1. Data pipeline optimization for AI/ML workloads
- 2. High-performance storage for AI workloads
|
| AI Lifecycle and Deployment | - Operational challenges
- 1. Scalability and performance optimization
- 2. Data governance and management
- End-to-end AI lifecycle
- 1. Model training and validation
- 2. Model deployment and monitoring
- 3. Data ingestion and preparation
|
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Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q94-Q99):
NEW QUESTION # 94
An AI architect needs to design a complete, end-to-end data pipeline for a new generative AI application at a financial services firm. The application will allow internal analysts to query a massive, 500 TB archive of historical market data and reports to generate summaries. The firm has the following environment and requirements:
Data_Sources: A mix of on-premises ONTAP filers and StorageGRID S3 buckets.
Requirement_1: All queries must be answered using only the private data archive.
Requirement_2: All generated summaries must provide citations to the source reports.
Requirement_3: All data containing client PII must be identified and excluded from the LLM context.
Requirement_4: The solution must be cost-effective for the large, mostly-read data archive.
Which set of actions and technologies constitutes the most robust and compliant solution?
(Select all that apply.)
- A. Deploy BlueXP classification to scan the entire StorageGRID data lake to identify and tag all files containing PII.
- B. During the RAG retrieval step, filter out any documents tagged as containing PII by BlueXP classification before sending them to the LLM.
- C. Use NetApp XCP to perform a one-time migration of all data from the ONTAP filers to the StorageGRID data lake.
- D. Implement a Retrieval-Augmented Generation (RAG) architecture to meet the requirements for private data usage and source citation.
- E. Use SnapMirror to replicate the StorageGRID data lake to a high-performance NetApp ASA system for faster query performance.
- F. Fine-tune a foundation model on the entire 500 TB dataset to ensure it understands the financial context.
Answer: A,B,C,D
NEW QUESTION # 95
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 Keystone, which provides a subscription-based, pay-as-you-go service for on-premises and cloud storage.
- B. NetApp Cloud Volumes ONTAP PAYGO licensing only.
- C. A perpetual licensing model for all ONTAP software features.
- D. A standard capital purchase of AFF and ASA systems.
Answer: A
NEW QUESTION # 96
A data scientist needs to launch a Jupyter notebook as a pod in a Kubernetes cluster. The pod requires a 50 Gi persistent volume for storing datasets and notebooks. The cluster administrator has configured a default Trident StorageClass for general-purpose use. The data scientist has the following PersistentVolumeClaim (PVC) manifest:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: jupyter-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 50Gi
When this PVC is applied to the cluster, what will be the result?
- A. The PVC will remain in a "Pending" state until a PersistentVolume is manually created.
- B. Trident will create a 1 Gi volume, as this is the default size for all PVCs.
- C. Trident will automatically provision a 50 Gi volume on its default backend and bind it to the PVC.
- D. The PVC will fail because a 'storageClassName' is not explicitly defined.
Answer: C
NEW QUESTION # 97
Which of the following techniques are used to maximize GPU utilization in AI workloads? (Choose two)
- A. Scheduling GPU-intensive tasks during off-peak hours
- B. Using larger batch sizes
- C. Utilizing CPU-based workloads for all tasks
- D. Balancing compute and storage workloads efficiently
Answer: A,D
NEW QUESTION # 98
The firm decides to implement a disaster recovery (DR) site for the "Advisor Assistant" application in a secondary data center. The Recovery Point Objective (RPO) is 15 minutes, and the Recovery Time Objective (RTO) is 4 hours. The design must protect both the document data lake and the vector database.
The primary site contains:
- Data Lake: NetApp StorageGRID
- Vector DB: NetApp AFF A-Series
Which combination of technologies and processes provides a complete and robust DR solution?
(Select all that apply.)
- A. Use the NetApp DataOps Toolkit to manually script the failover process.
- B. Use NetApp SnapMirror to create an asynchronous replication relationship for the AFF A-Series volume containing the vector database, with a schedule of 10 minutes.
- C. Rely on tape backups to be shipped to the DR site in the event of a disaster.
- D. Use NetApp FlexCache at the DR site to cache data from the primary site.
- E. Use BlueXP disaster recovery to orchestrate and automate the failover and failback workflows for the application and its data dependencies.
- F. Use StorageGRID's built-in replication rules to replicate object data from the primary site's grid to a StorageGRID instance at the DR site.
Answer: B,E,F
NEW QUESTION # 99
......
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