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Network Appliance NS0-901 Exam Syllabus Topics:

SectionObjectives
Industry Use Cases- AI applications across industries
  • 1. Autonomous systems and agents
    • 2. Digital twins
      • 3. Healthcare AI
        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. Shared infrastructure design considerations
              • 2. AI, HPC, and analytics convergence
                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 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 (Q79-Q84):

                                    NEW QUESTION # 79
                                    An AI architect is planning the resource allocation for a new project. The primary task is to process millions of unlabeled customer reviews to identify naturally occurring groups or themes without any prior guidance.
                                    The project requirements are summarized below:
                                    Task: Discover hidden patterns in text data
                                    Input_Data: 10 million unlabeled text reviews
                                    Output: Clustered groups of related reviews
                                    Supervision: None
                                    Which type of machine learning algorithm is required for this task?

                                    Answer: C


                                    NEW QUESTION # 80
                                    An AI platform is suffering from poor performance during distributed training jobs. The training data resides on a single, large NFS volume. Monitoring shows that while the overall network throughput to the storage system is high, individual GPU nodes experience significant I/O wait times, and the single ONTAP volume is becoming a performance bottleneck. The goal is to re- architect the storage layout to maximize read parallelism and throughput for the training cluster.
                                    Which two actions should the architect take to address this performance bottleneck? (Choose 2.)

                                    Answer: B,E


                                    NEW QUESTION # 81
                                    A data scientist is using the NetApp DataOps Toolkit for Python to automate the creation of a new, writable volume for an experiment. The script is intended to clone an existing dataset volume. When the script is executed, it fails with an error.
                                    The relevant portion of the Python script is:
                                    from netapp_dataops.k8s import clone_pvc
                                    clone_pvc(
                                    source_pvc_name="dataset-v1-pvc",
                                    new_pvc_name="experiment-clone-pvc",
                                    namespace="ds-team-1"
                                    )
                                    The script produces the following error in the terminal:
                                    'Error: Failed to clone PVC. Source PVC 'dataset-v1-pvc' not found in namespace 'ds-team-1'.' What is the most likely cause of this error?

                                    Answer: C


                                    NEW QUESTION # 82
                                    The company's finance department mandates a cost-control strategy for the petabyte-scale StorageGRID data lake. The analysis shows that 80% of the simulation data is not accessed after
                                    90 days but must be retained for five years for regulatory compliance. Which StorageGRID feature should the architect use to automatically reduce the long-term storage costs for this inactive data?

                                    Answer: A


                                    NEW QUESTION # 83
                                    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?

                                    Answer: B


                                    NEW QUESTION # 84
                                    ......

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