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Network Appliance NS0-901 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI and Machine Learning Fundamentals | - AI, ML, DL concepts
|
| Topic 2: AI Lifecycle and Deployment | - Operational challenges
|
| Topic 3: Industry Use Cases | - AI applications across industries
|
| Topic 4: AI Infrastructure and NetApp Solutions | - AI-ready data infrastructure
|
Network Appliance NetApp Certified AI Expert Sample Questions:
1. Which of the following describes the impact of generative AI in content creation?
A) Generative AI only processes pre-existing content.
B) Generative AI can create new content such as text, images, and videos.
C) Generative AI predicts customer preferences without creating new content.
D) Generative AI analyzes data without generating content.
2. A data science team works primarily at a central data center but needs to run a short-term, burst- compute training job in the public cloud to take advantage of specialized GPUs that are not available on- premises. They need to efficiently and securely move a 20 TB dataset from their on- premises ONTAP cluster to a Cloud Volumes ONTAP instance for the duration of the job.
The data flow requirement is as follows:
Source: On-premises ONTAP cluster
Destination: Cloud Volumes ONTAP in AWS
Requirement: Efficient, secure, block-level data transfer.
Which NetApp technology is the most appropriate tool for this task?
A) NetApp FlexCache
B) NetApp SnapMirror
C) NetApp FabricPool
D) NetApp XCP
3. Given the firm's requirements for using a private, constantly updated knowledge base and the strict mandate for data traceability, which AI architecture is the most appropriate foundation for the "Advisor Assistant" chatbot?
A) A predictive AI model trained to forecast market trends.
B) A standalone LLM deployed in an air-gapped environment with no access to the document repository.
C) A Retrieval-Augmented Generation (RAG) architecture that retrieves relevant context from a local vector database to enrich prompts sent to the LLM.
D) A fine-tuning architecture where a base LLM is continuously retrained on the entire document repository.
4. 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?
A) NetApp BlueXP copy and sync
B) NetApp SnapMirror
C) NetApp FabricPool
D) NetApp XCP
5. A security administrator is reviewing the configuration of a production ONTAP cluster after a compliance audit. The audit requires that all volumes containing financial data must be protected against ransomware. The administrator runs a command to check the status of Autonomous Ransomware Protection (ARP) on a critical volume.
The command and its output are as follows:
cluster-1::> security ransomware anti-ransomware show -vserver svm_finance -volume finance_q1_data Vserver: svm_finance Volume: finance_q1_data Autonomous Ransomware Protection Status: disabled Learning Mode: normal Dry Run Mode: false Action on Detection: notify Based on this output, what is the primary security risk for the 'finance_q1_data' volume?
A) The learning mode is set to "normal," which may not detect zero-day attacks.
B) The volume is not part of any Snapshot schedule.
C) The volume is vulnerable to ransomware because Autonomous Ransomware Protection is not enabled.
D) The action on detection is set only to "notify," which will not block the attack.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: C |


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