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Network Appliance NS0-901 考試大綱主題:

最新的 NetApp Certified AI Expert NS0-901 免費考試真題：

1. An AI infrastructure architect is tasked with designing a solution to address two critical challenges in a large, multi-petabyte AI environment:
1. Cost: A significant portion of the data on the high-performance all-flash storage is inactive but must remain online. The cost of storing this cold data on the performance tier is prohibitive.
2. Traceability: Data scientists need a simple, space-efficient way to version their datasets at key points in their workflow to ensure reproducibility.
The environment consists of NetApp AFF A-Series and NetApp StorageGRID systems.
Which combination of NetApp technologies should the architect implement to solve both challenges simultaneously? (Select all that apply.)

A) Use BlueXP backup and recovery to create backups on StorageGRID, then delete the original volumes from the AFF systems.
B) Implement NetApp FlexClone to create full, writable copies of datasets for each experiment.
C) Train data scientists to use NetApp Snapshots to create point-in-time, read-only versions of their data volumes.
D) Use NetApp XCP to periodically move cold data from the AFF systems to StorageGRID.
E) Use NetApp SnapMirror to replicate volumes from the AFF systems to StorageGRID for archival.
F) Implement NetApp FabricPool to automatically tier cold data blocks from the AFF systems to StorageGRID.

2. An organization wants to provide its data science team with a secure, on-demand method for using a powerful generative AI model with their private, sensitive corporate data. The solution must ensure that the private data is never exposed to the public internet or the public LLM API endpoint.
The architect is designing a solution using BlueXP.
Which two components are essential for building this secure solution? (Choose 2.)

A) A private vector database hosted on an on-premises NetApp ONTAP system to store embeddings of the sensitive corporate data.
B) A policy in BlueXP classification to copy all sensitive data to a public cloud bucket for easier access.
C) A direct VPN connection from each data scientist's laptop to the public LLM provider.
D) The BlueXP GenAI Toolkit, which acts as a proxy to intercept user prompts and enrich them with data from a local vector database.
E) A BlueXP Connector deployed in a public subnet with a public IP address to allow access to the LLM.

3. 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) Rely on tape backups to be shipped to the DR site in the event of a disaster.
B) Use NetApp FlexCache at the DR site to cache data from the primary site.
C) Use the NetApp DataOps Toolkit to manually script the failover process.
D) Use BlueXP disaster recovery to orchestrate and automate the failover and failback workflows for the application and its data dependencies.
E) 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.
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.

4. A research institute is designing an infrastructure to support its entire AI drug discovery pipeline.
The pipeline has two distinct workload requirements:
1. Training: A team of data scientists needs to train several large transformer models simultaneously using a 500 TB dataset of genomic sequences. This process requires maximum data throughput to keep the GPUs saturated.
2. Inference: Once trained, the models are deployed to an internal web portal where researchers submit individual protein sequences for analysis. These queries must return results with the lowest possible latency.
Which infrastructure design best satisfies both requirements? (Choose 2.)

A) Implement NetApp FlexCache on smaller nodes at the network edge to serve the inference requests.
B) Deploy a large NetApp ASA cluster with GPUDirect Storage enabled for the training environment.
C) Use NetApp StorageGRID as the primary storage for both the training and low-latency inference workloads.
D) Use a single, large Cloud Volumes ONTAP instance in a public cloud to handle both workloads to simplify management.
E) Configure QoS minimums on the training volumes to ensure they do not impact inference performance.

5. The data pipeline that updates the vector database from the StorageGRID data lake fails. An MLOps engineer uses the BlueXP API to check the status of the copy and sync job responsible for moving new documents to a staging area for processing.
The API returns the following JSON response:
{
"id": "rel_5f8g7h2k",
"volumeName": "product_docs_source",
"svmName": "svm_datalake",
"relationshipStatus": "FAILED",
"s3Location": "s3://vector-staging-bucket/latest/",
"progress": 87,
"failureMessage": "Sync failed.
Target credentials invalid. Check permissions for data broker 'db-gcp-1' on target bucket 'vector- staging-bucket'."
}
Based on this output, what is the most direct cause of the pipeline failure?

A) The BlueXP data broker service account or role lacks the necessary IAM permissions to write to the target S3 bucket.
B) The source StorageGRID system is offline.
C) The vector database embedding process has crashed.
D) The network connection between the data broker and the StorageGRID system is blocked by a firewall.

問題與答案：