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Network Appliance NS0-901 Exam Syllabus Topics:

SectionObjectives
Topic 1: Industry Use Cases- AI applications across industries
  • 1. Autonomous systems and agents
    • 2. Digital twins
      • 3. Healthcare AI
        Topic 2: AI Infrastructure and NetApp Solutions- AI-ready data infrastructure
        • 1. High-performance storage for AI workloads
          • 2. Data pipeline optimization for AI/ML workloads
            - Converged workloads
            • 1. AI, HPC, and analytics convergence
              • 2. Shared infrastructure design considerations
                Topic 3: AI and Machine Learning Fundamentals- AI, ML, DL concepts
                • 1. Training, inference, and prediction workflows
                  • 2. Differences between AI, machine learning, and deep learning
                    - Algorithm types
                    • 1. Supervised learning
                      • 2. Reinforcement learning
                        • 3. Unsupervised learning
                          Topic 4: AI Lifecycle and Deployment- Operational challenges
                          • 1. Data governance and management
                            • 2. Scalability and performance optimization
                              - End-to-end AI lifecycle
                              • 1. Data ingestion and preparation
                                • 2. Model training and validation
                                  • 3. Model deployment and monitoring

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                                    Network Appliance NetApp Certified AI Expert Exam Sample Questions (Q16-Q21):

                                    NEW QUESTION # 16
                                    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?

                                    Answer: B


                                    NEW QUESTION # 17
                                    In the data pipeline, which NetApp technology is used to create an efficient, block-level, incremental replication of the anonymized datasets from the on-premises ASA to the Cloud Volumes ONTAP instance in Azure?

                                    Answer: B


                                    NEW QUESTION # 18
                                    A media company is building a new generative AI service. The project has two main components:
                                    1. Data Lake & Fine-Tuning: A 300 TB repository of unstructured data (videos, images, text) stored as objects will be used to fine-tune a foundational model. This process requires a scalable, cost-effective storage solution that can integrate with cloud-native data processing tools like Apache Spark.
                                    2. Inference & RAG: The fine-tuned model will be used in a customer-facing application that leverages Retrieval-Augmented Generation (RAG). To ensure low-latency responses, the RAG component requires extremely fast lookups from a 10 TB vector database.
                                    The company needs a solution that optimizes both cost and performance for this entire lifecycle.
                                    Which combination of NetApp technologies provides the most appropriate solution for this scenario?

                                    Answer: A


                                    NEW QUESTION # 19
                                    The "Advisor Assistant" application, running as a pod in Kubernetes, suddenly cannot access its data on the AFF A-Series. The application logs show "connection timed out" errors. The network team provides a firewall log snippet for the traffic between the application pod and the storage system's NFS data LIF.
                                    TIME | SRC_IP | DST_IP | PROTO | DST_PORT | ACTION
                                    -|--||-|-|-
                                    2025-07-11T16:01:10Z | 10.20.5.101 (Pod) | 10.20.10.55 (LIF) | TCP | 111 | BLOCKED 2025-07-
                                    11T16:01:12Z | 10.20.5.101 (Pod) | 10.20.10.55 (LIF) | TCP | 2049 | BLOCKED What is the most likely cause of the connectivity failure?

                                    Answer: D


                                    NEW QUESTION # 20
                                    A national research laboratory is investing in a turnkey AI infrastructure solution. Their primary goal is to eliminate the complexity and risk of designing and integrating the compute, network, and storage components themselves. The solution must be pre-validated by the vendors to deliver predictable, linear performance as they scale from one to multiple compute nodes. Which two options represent this type of pre-validated, converged infrastructure solution for AI? (Choose two)

                                    Answer: A,C


                                    NEW QUESTION # 21
                                    ......

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