Download the Latest NS0-901 Dumps - 2026 NS0-901 Exam Questions
Latest Network Appliance NS0-901 Certification Practice Test Questions
NEW QUESTION # 49
An organization's AI platform team needs to provide two distinct tiers of storage for their data scientists on a single Kubernetes cluster:
1. 'gold-tier': Extremely low-latency storage for active model training, using an all-flash NetApp ASA system.
2. 'bronze-tier': Cost-effective, high-capacity storage for data staging and archiving, using a NetApp StorageGRID system.
How should the platform team configure NetApp Trident to meet these requirements? (Select all that apply.)
- A. Create a single Trident backend that points to both the ASA and StorageGRID systems simultaneously.
- B. Configure the 'bronze-tier' StorageClass to reference the StorageGRID backend.
- C. Create a single StorageClass named 'multi-tier-storage' that references both backends.
- D. Create two distinct StorageClasses, 'gold-tier' and 'bronze-tier'.
- E. Configure the 'gold-tier' StorageClass to reference the ASA backend.
- F. Create two separate Trident backend configurations, one for the ASA ('backend-asa.yaml') and one for StorageGRID ('backend-sgrid.yaml').
Answer: B,D,E,F
NEW QUESTION # 50
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 vector database embedding process has crashed.
- C. The network connection between the data broker and the StorageGRID system is blocked by a firewall.
- D. The source StorageGRID system is offline.
Answer: A
NEW QUESTION # 51
Advisors report that some queries to the chatbot are unacceptably slow, taking several seconds to respond. The MLOps team isolates the issue to the RAG retrieval step. Performance monitoring of the NetApp AFF A-Series hosting the vector database shows the following metrics during periods of high query load.
avg_read_latency: 3500 microseconds (3.5 ms)
avg_write_latency: 400 microseconds (0.4 ms)
iops_total: 15,000
cpu_utilization_storage_node: 15%
workload_profile: 95% small, random reads
Given these metrics, what is the most likely performance bottleneck?
- A. The storage node CPU is the bottleneck, preventing faster data processing.
- B. The AFF A-Series system is underpowered and cannot handle the IOPS load.
- C. The vector database is poorly indexed, causing inefficient, slow lookups that translate to high read latency on the storage.
- D. The network between the application and the storage system is saturated.
Answer: C
NEW QUESTION # 52
A data scientist needs to launch a Jupyter notebook as a pod in a Kubernetes cluster. The pod requires a 50 Gi persistent volume for storing datasets and notebooks. The cluster administrator has configured a default Trident StorageClass for general-purpose use. The data scientist has the following PersistentVolumeClaim (PVC) manifest:
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: jupyter-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 50Gi
When this PVC is applied to the cluster, what will be the result?
- A. Trident will automatically provision a 50 Gi volume on its default backend and bind it to the PVC.
- B. Trident will create a 1 Gi volume, as this is the default size for all PVCs.
- C. The PVC will remain in a "Pending" state until a PersistentVolume is manually created.
- D. The PVC will fail because a 'storageClassName' is not explicitly defined.
Answer: A
NEW QUESTION # 53
The firm's data science team needs to run a high-priority, interactive model analysis job that requires immediate access to two GPUs. However, all GPUs in the cluster are currently allocated to long-running, lower-priority batch training jobs.
The MLOps platform, Run:AI, shows the following queue status:
JOB_ID | PROJECT | STATUS | PRIORITY | GPU_ALLOCATED
||--|-|
batch_job_1 | team_a | Running | Low | 2
batch_job_2 | team_a | Running | Low | 2
batch_job_3 | team_b | Running | Low | 4
interactive_1| team_c | Pending | High | 2 (requested)
How does the Run:AI platform address this resource contention to allow the high-priority job to run?
- A. It sends an email notification to the administrator to manually reallocate the GPUs.
- B. It automatically pauses one of the low-priority jobs, saves its state, and allocates its GPUs to the high- priority job, placing the paused job back in the queue.
- C. It automatically terminates all low-priority jobs to free up the entire cluster.
- D. It keeps the high-priority job in a pending state until the low-priority jobs complete naturally.
Answer: B
NEW QUESTION # 54
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. A NAS filer cannot be deployed on-premises.
- B. The S3 API cannot be used to access data stored on an NFS file system.
- 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.
Answer: C
NEW QUESTION # 55
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?
- A. NetApp Volume Encryption (NVE)
- B. Autonomous Ransomware Protection (ARP)
- C. Multi-Admin Verification (MAV)
- D. NetApp SnapLock (Compliance Mode)
Answer: B
NEW QUESTION # 56
Which of the following best describes the difference between data lakes, data warehouses, and lakehouses?
- A. Data lakes store raw, unstructured data, data warehouses store structured data, and lakehouses combine the features of both.
- B. Data lakes store metadata, data warehouses store transaction data, and lakehouses store archival data.
- C. Data lakes store data in cloud storage, data warehouses store it in traditional databases, and lakehouses store it in external drives.
- D. Data lakes store structured data, data warehouses store unstructured data, and lakehouses store only real-time data.
Answer: A
NEW QUESTION # 57
An architect is designing a cost-optimized storage solution for a large AI environment that has two distinct data temperature profiles:
1. Hot Data (200 TB): Actively used training sets and models requiring all-flash performance.
2. Cold Data (2 PB): Inactive, archived datasets and old model versions that must remain online but are infrequently accessed.
The solution must automatically manage data placement based on activity, without requiring manual intervention or changes to file paths. The environment consists of an on-premises data center and a public cloud account.
Which combination of NetApp technologies provides the most complete and cost-effective solution? (Select all that apply.)
- A. Deploy a NetApp AFF A-Series system on-premises to serve as the high-performance tier for the hot data.
- B. Deploy NetApp StorageGRID on-premises to serve as a cost-effective capacity tier for the cold data.
- C. Deploy a single, large Cloud Volumes ONTAP instance to hold both the hot and cold data tiers.
- D. Use NetApp XCP to manually script the daily movement of cold files from the AFF system to StorageGRID.
- E. Use NetApp FabricPool to automatically and transparently tier cold data blocks from the AFF A- Series to the StorageGRID system.
- F. Use NetApp SnapMirror to create a full copy of the 2 PB of cold data on the AFF A-Series for faster access if needed.
Answer: A,B,E
NEW QUESTION # 58
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 specialized storage systems designed to hold large datasets for training.
- C. They are networking protocols designed to accelerate data transfer between GPUs.
- D. 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.
Answer: D
NEW QUESTION # 59
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
Answer: D
NEW QUESTION # 60
The firm decides to expand the "Advisor Assistant" project to a new team in a different department. This team needs its own isolated environment. An MLOps engineer attempts to submit a new GPU- intensive job for the new team, but it remains pending. The engineer checks the Run:AI scheduler logs and finds the following entry:
time="2025-07-11T16:45:00Z" level=info msg="Job ds-new-team-job1 cannot be scheduled.
Project 'new-team-project' has exceeded its GPU quota. Quota: 0, Requested: 1, Used: 0." What is the root cause of the scheduling failure?
- A. The Kubernetes cluster has no available GPUs.
- B. A Run:AI project quota has been configured for the new team, but it has been set to zero, effectively blocking them from using any GPU resources.
- C. The job is requesting a specific type of GPU that is not available in the cluster.
- D. The Run:AI scheduler is offline and cannot process new jobs.
Answer: B
NEW QUESTION # 61
An AI team is planning two separate projects. The architect needs to provision the appropriate infrastructure for each.
| | Project A | Project B|
| -- | | - |
| Goal | Build a novel image recognition model from scratch.
| Adapt an existing, pre- trained LLM to understand company-specific jargon. |
| Input Data | 10 million new, unlabeled images. | A 50 GB text corpus of internal documents. |
| Required Compute | Very High (Weeks of multi-GPU training) | Moderate (Hours of single-GPU training) | Which two statements accurately describe the infrastructure requirements for these projects?
(Choose two.)
- A. Project A requires only a large amount of data, while Project B requires only a large amount of code.
- B. Both projects are examples of fine-tuning and have similar infrastructure needs.
- C. Project A is a model building task and requires a significantly larger and more powerful compute and storage infrastructure than Project B.
- D. Both projects should use NetApp StorageGRID as the primary storage for training to ensure low latency.
- E. Project B is a fine-tuning task, which leverages an existing model and requires less data and compute resources than building a model from scratch.
Answer: C,E
NEW QUESTION # 62
A financial services company is required by regulators to be able to trace any version of their deployed fraud detection model back to the exact dataset and source code commit used to train it.
The current MLOps workflow is as follows:
Code_Repository: Git (commit hash: a1b2c3d4)
Dataset_Location: /vol/prod_data/fraud_dataset_v3
Storage_System: NetApp ONTAP 9
Model_Output: /vol/models/fraud_model_v3.2
Which NetApp technology should be used to create an immutable, point-in-time, and space- efficient copy of the dataset that can be linked to the specific code commit and model version?
- A. NetApp FlexClone
- B. NetApp FabricPool
- C. NetApp SnapMirror
- D. NetApp Snapshots
Answer: D
NEW QUESTION # 63
The data anonymization job, running in a Kubernetes pod, fails. The pod logs show a "Permission Denied" error when trying to access the source volume on the on-premises ASA. An administrator checks the export policy rule for the volume.
The active rule is as follows:
Rule_Index: 1
Client_Match: 10.50.0.0/16
Protocols: nfs4
Read_Only_Access: sys
Read_Write_Access: -
Superuser_Access: none
The Kubernetes pod that failed has an IP address of '10.60.5.10'.
What is the cause of the "Permission Denied" error?
- A. The 'Superuser_Access' setting is too restrictive.
- B. The export policy only allows access via the NFSv4 protocol.
- C. The pod's IP address ('10.60.5.10') is not within the allowed client match range ('10.50.0.0/16').
- D. The export policy does not grant read-write access, which is required by the anonymization job.
Answer: C
NEW QUESTION # 64
What is the primary reason for implementing a hybrid cloud architecture in this medical imaging scenario?
- A. To simplify network management by using a single, global virtual network spanning the on- premises and cloud environments.
- B. To leverage the powerful, elastic GPU compute resources available in the public cloud for model training while keeping sensitive source data on-premises to meet security and HIPAA compliance requirements.
- C. To reduce the overall cost of storage by keeping all data in the public cloud.
- D. To exclusively use cloud-native AI services, eliminating the need for any on-premises hardware.
Answer: B
NEW QUESTION # 65
......
Verified NS0-901 Dumps Q&As - 1 Year Free & Quickly Updates: https://torrentpdf.guidetorrent.com/NS0-901-dumps-questions.html