당신은 온라인 연습 문제를 통해 NetApp NS0-901 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 NS0-901 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 102개의 시험 문제와 답을 포함하십시오.
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Question No : 1
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 2.)
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Question No : 2
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?
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Question No : 3
A healthcare organization plans to use a large dataset of patient records to train a predictive model. Before training, they must identify and segregate all records containing Personally Identifiable Information (PII) to comply with privacy regulations. The data resides on an on-premises NetApp ONTAP cluster. The organization needs an automated tool to scan the data in-place and tag files containing PII without moving the data.
The project requirements are as follows:
Task: Identify PII in
a large dataset.
Data_Location:
On-premises ONTAP cluster.
Constraint: Data must
not be moved from its source location for scanning.
Output: Tagged files
containing PII.
Which NetApp tool is designed for this specific task?
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Question No : 4
An AI team is embarking on a project to train a new, large-scale computer vision model from scratch. The lead architect emphasizes that the success of the project depends on four fundamental inputs that must be available and managed throughout the training process.
Which of the following are the four essential requirements for model generation?
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Question No : 5
Cloud (Public Cloud Provider): Data scientists want to use cloud-native tools for experimental data processing and model development. They also need a cost-effective location for long-term archiving of raw data.
Which combination of deployment locations and NetApp technologies creates the most logical and efficient end-to-end solution?
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Question No : 6
A research lab uses a fleet of autonomous drones to collect high-resolution aerial imagery for agricultural analysis. The drones land at a remote edge location and offload their data. The AI models for image analysis are trained at a central data center. The team is using NetApp SnapMirror to replicate the data from the edge to the core. However, the data scientists are complaining that the datasets arriving at the data center are often incomplete or corrupted.
An administrator reviews the SnapMirror configuration and status via the BlueXP API:
{
"source": { "workingEnvironmentId":
"OnPrem-Edge-Filer-1", "volumeName":
"drone_data_raw" },
"destination": { "workingEnvironmentId":
"Core-Datacenter-A800", "volumeName":
"drone_data_replicated" },
"mirrorState": "broken-off",
"relationshipStatus": "idle",
"unhealthyReason": "Transfer failed. Destination volume is out
of space.",
"lastTransferInfo": {
"transferError": "No space left on device"
}
}
What is the direct cause of the incomplete datasets at the data center?
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Question No : 7
AI Training: Data scientists need to use the same output as a training set for a predictive maintenance model.
The company wants to avoid creating separate data silos for each workload.
Which two NetApp technologies are best suited for building a unified data lake that can efficiently serve all three workloads (HPC, Analytics, AI)? (Choose 2.)
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Question No : 8
An automotive company runs crash simulations on a dedicated High-Performance Computing (HPC) cluster and trains computer vision models on a separate AI cluster. Data scientists are complaining about the long delays required to move terabytes of simulation output data from the HPC storage to the AI cluster's storage before they can begin training.
The current data flow is as follows:
HPC Cluster ->
--Manual Copy (NFS)--> -> AI Cluster
An architect has been asked to redesign the infrastructure to eliminate this data movement bottleneck.
Which architectural change would be most effective?
정답:
Question No : 9
A robotics company is developing a control system for an autonomous warehouse drone. The drone must learn to navigate complex environments to pick up packages. The development team has created a physics-based simulation where the drone can attempt the task millions of times. The drone receives a positive reward for successfully retrieving a package and a negative penalty for collisions.
Which type of machine learning algorithm is being used in this scenario?
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Question No : 10
An architect is designing an AI solution for a European hospital chain to analyze patient diagnostic scans. The project is subject to strict GDPR regulations, which mandate that patient data cannot leave the sovereign territory. The application also requires near-instantaneous results for physicians reviewing the scans in the hospital.
Which deployment model best satisfies these security and performance requirements?
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Question No : 11
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.)
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Question No : 12
An organization recently suffered a ransomware attack that encrypted several volumes on their primary ONTAP storage system, including a critical volume containing curated training data. The security team needs to implement a solution that can proactively detect and block ransomware-like file I/O patterns and automatically create a secure Snapshot copy before any damage is done.
The current ONTAP configuration is as follows:
ONTAP_Version: 9.12.1
Security_Features:
SnapLock (Compliance Mode) on archive volumes
Anti-Virus_Scan:
Enabled (Vscan)
Ransomware_Detection:
Not configured
Which ONTAP feature should be enabled to provide this proactive, automated protection?
정답:
Question No : 13
A company is running its AI training workloads on a NetApp AFF A-Series system. To manage costs, they want to automatically move inactive training datasets and older model checkpoints from the high-performance all-flash tier to a lower-cost object storage tier, such as an on-premises StorageGRID or a public cloud bucket. The process must be transparent to the data scientists and not require changes to their scripts or file paths.
Which two NetApp technologies should be combined to achieve this goal? (Choose 2.)
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Question No : 14
168.100.15 (Edge Server)
Destination_IP: 10.1.1.50
(Core Filer)
Status: SUCCESS
Duration: 3600s (60
minutes)
What is the most likely cause of the slow model loading times at the edge?
정답:
Question No : 15
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?
