2026年CertShikenの最新NS0-901 PDFダンプおよびNS0-901試験エンジンの無料共有：https://drive.google.com/open?id=1AIGNZ0gDbWMhPoxQI_mdg7eclYpInN8n
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| Section | Weight | Objectives |
|---|---|---|
| Security, Reliability, and Operations | 15% | - Data security and access control for AI - High availability and data protection - Monitoring, logging, and troubleshooting AI environments - Cost management and efficiency |
| AI Overview | 15% | - AI, machine learning, and deep learning concepts - Algorithm types: supervised, unsupervised, reinforcement learning - AI industry use cases and applications - Convergence of AI, high-performance computing, and analytics - AI deployment models: on-premises, cloud, edge |
| NetApp AI Solutions and Architecture | 25% | - Data management and data pipeline design - ONTAP integration with AI frameworks - NetApp AI-ready infrastructure components - Storage architectures for AI workloads - Scalability and performance optimization for AI |
| AI Lifecycle | 27% | - AI governance, ethics, and compliance - AI lifecycle stages: design, training, deployment, monitoring - Model training, inference, and optimization - Predictive vs generative AI - Data preparation and management for AI |
| Cloud and Hybrid Cloud AI Deployment | 18% | - Cloud-native AI solutions and integration - Data mobility and consistency across environments - Hybrid and multi-cloud AI architectures - NetApp cloud data services for AI |
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質問 # 23
Given the company's goal of combining physics-based simulations with AI-driven analytics on a shared data foundation, which industry trend does this project best represent?
正解：D
質問 # 24
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?
正解：D
質問 # 25
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?
正解：A
質問 # 26
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?
正解：A
質問 # 27
A new team of external auditors requires read-only access to the raw financial product documentation stored in the StorageGRID data lake. The data is in a bucket named 'prod-docs'.
The security team must ensure the auditors can list and read objects but cannot write, delete, or modify any data. Which is the most appropriate method to grant this specific access?
正解：B
質問 # 28
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