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Network Appliance NS0-901 Exam Syllabus Topics:

Network Appliance NetApp Certified AI Expert Sample Questions:

1. Which of the following platforms provides tools for model training and deployment specifically for AI workloads?

A) Domino Data Labs
B) Google VertexAI
C) RunAI
D) All of the above

2. An MLOps team uses a variety of platforms to manage their AI workloads. They need to understand the primary function of each tool within their ecosystem. Which statement best describes the role of an MLOps/LLMOps platform like Kubeflow or Run:AI?

A) They are integrated development environments (IDEs) used exclusively for writing Python code.
B) They are orchestration and management platforms that automate and streamline the entire AI/ML lifecycle, from data preparation and model training to deployment and monitoring.
C) They are networking protocols designed to accelerate data transfer between GPUs.
D) They are specialized storage systems designed to hold large datasets for training.

3. An AI architect is reviewing the design for a new data lake. The primary requirement is to store petabytes of unstructured data (images, video, sensor logs) in a highly durable, scalable, and cost- effective manner. The data will be accessed via S3 API by various data processing and analytics applications.
The initial design proposes using a traditional Network Attached Storage (NAS) filer with a large number of disks. The architect reviews the proposal:
Proposed_System: Traditional NAS Filer
Protocol: NFSv4
Scalability_Model: Scale-up
Metadata_Handling: Centralized in filer head
Cost_per_GB: Moderate
Why is this proposed system a poor choice for a petabyte-scale data lake?

A) The S3 API cannot be used to access data stored on an NFS file system.
B) A NAS filer cannot be deployed on-premises.
C) A traditional scale-up NAS system will face scalability and cost-effectiveness challenges at the petabyte scale compared to an object storage system.
D) NFS is incapable of storing image or video files.

4. A robotics company is developing a control system for an autonomous warehouse drone. The drone must learn to navigate complex environments to pick up packages. The development team has created a physics-based simulation where the drone can attempt the task millions of times.
The drone receives a positive reward for successfully retrieving a package and a negative penalty for collisions. Which type of machine learning algorithm is being used in this scenario?

A) Reinforcement learning
B) Generative learning
C) Supervised learning
D) Unsupervised learning

5. 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) A-Series provides GPU-based acceleration, while C-Series only supports CPU-based workloads.
C) C-Series is designed for high-performance workloads, while A-Series focuses on cost-efficiency for general storage.
D) C-Series supports both file and object-based storage, while A-Series is optimized for object storage.

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