Network Appliance NS0-901問題例、NS0-901関連試験

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Network Appliance NS0-901 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Hardware Architectures	18%	- Networking and Storage 1. Network protocols for AI workloads 2. Storage architectures for AI - Infrastructure Topologies 1. Data aggregation and compute topologies - NetApp Architectures 1. OVX architectures 2. BasePod 3. SuperPOD
Topic 2: AI Software Architectures	18%	- Development Tools 1. Jupyter notebooks vs. pipelines 2. NetApp DataOps Toolkit - MLOps and LLMOps Ecosystems 1. Understanding the software tools and platforms enabling AI at scale - Scaling and Orchestration 1. Leveraging BlueXP software tools 2. Scaling AI workloads with Kubernetes
Topic 3: AI Lifecycle	27%	- Generative AI Concepts 1. Retrieval Augmented Generation (RAG) 2. Fine-tuning 3. Hallucinations - Model Development 1. Inferencing 2. Model building 3. Fine-tuning workflows - Predictive AI vs. Generative AI 1. Distinction between predictive and generative AI 2. Large Language Models (LLMs) 3. Impact of generative content (text, images, video, decision-making) - Data Preparation 1. NetApp BlueXP Classification 2. XCP and CopySync 3. Data aggregation and cleansing
Topic 4: AI Overview	15%	- Machine Learning Fundamentals 1. Understand the relationship between AI, machine learning, and deep learning 2. Describe machine learning benefits - AI Industry Applications 1. Digital twins 2. Agents 3. Healthcare applications - AI Deployment Models 1. Benefits and risks of each model 2. Cloud 3. Edge 4. On-premises - AI Convergence with HPC and Analytics 1. Leveraging shared infrastructure for AI, HPC, and analytics - Training vs. Inferencing vs. Predictions 1. Distinguish between training and inference workloads - Algorithm Types 1. Supervised learning 2. Reinforcement learning 3. Unsupervised learning
Topic 5: AI Common Challenges	22%	- Resource Management 1. Sizing storage and compute resources effectively 2. Controlling costs and securing storage - Traceability and Optimization 1. Maximizing performance in demanding AI workloads 2. Optimizing data access and movement 3. Ensuring traceability for code, data, and models

>> Network Appliance NS0-901問題例 <<

NS0-901関連試験 & NS0-901資格練習

Network Applianceの認定資格を取得しようと懸命に努力している方もいらっしゃるかもしれませんが、当然、1つのレベルの重要な指標の1つに対する評価になります。仕事を探すとき、もちろん、多くの会社は、Tech4Exam人事マネージャーがあなたの能力を証明するためにNS0-901認定を取得した志願者に何を求めるのか、したがって、私たちが得た知識を証明するために他の方法を使用する必要があります NS0-901テスト準備を取得して資格証明書を取得し、包括的な能力のすべての側面を示すなど、大学で勉強しますNetApp Certified AI Expert Exam試験ガイドは、短期間で完璧に自分を証明するのに役立ちます。そして効率的に。

Network Appliance NetApp Certified AI Expert Exam 認定 NS0-901 試験問題 (Q70-Q75):

質問 # 70
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 NetApp SnapMirror to replicate volumes from the AFF systems to StorageGRID for archival.
B. Train data scientists to use NetApp Snapshots to create point-in-time, read-only versions of their data volumes.
C. Use BlueXP backup and recovery to create backups on StorageGRID, then delete the original volumes from the AFF systems.
D. Use NetApp XCP to periodically move cold data from the AFF systems to StorageGRID.
E. Implement NetApp FabricPool to automatically tier cold data blocks from the AFF systems to StorageGRID.
F. Implement NetApp FlexClone to create full, writable copies of datasets for each experiment.

正解：B、E

質問 # 71
The data scientists report that their Kubernetes-based data preparation jobs are failing. The pods are stuck in a 'Pending' state.
An MLOps engineer runs 'kubectl describe pvc data-prep-pvc-01' and sees the following event:
Type Reason Age From Message
- - - -
Warning ProvisioningFailed 2m15s trident-orchestrator-7b... failed to provision volume with StorageClass "bronze-tier": backend unavailable: no healthy backend with satisfying attributes for storage class "bronze-tier" The engineer checks the Trident backend configurations and finds no backend associated with the "bronze-tier" StorageClass.
What is the root cause of the failure?

A. The PersistentVolumeClaim is referencing a StorageClass that has no configured or healthy Trident backend to provision storage from.
B. The data preparation pods do not have the correct security permissions.
C. The Kubernetes scheduler is unable to find a node with enough resources for the pods.
D. The StorageGRID data lake is offline, preventing the creation of new volumes.

正解：A

質問 # 72
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

正解：B

質問 # 73
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 StorageGRID's built-in replication rules to replicate object data from the primary site's grid to a StorageGRID instance at the DR site.
C. 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.
D. Use NetApp FlexCache at the DR site to cache data from the primary site.
E. Use BlueXP disaster recovery to orchestrate and automate the failover and failback workflows for the application and its data dependencies.
F. Use the NetApp DataOps Toolkit to manually script the failover process.

正解：B、C、E

質問 # 74
Which of the following techniques are used to maximize GPU utilization in AI workloads? (Choose two)

A. Balancing compute and storage workloads efficiently
B. Using larger batch sizes
C. Scheduling GPU-intensive tasks during off-peak hours
D. Utilizing CPU-based workloads for all tasks

正解：A、C

質問 # 75
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この急速に変化する世界では、Network Appliance仕事と才能に対する要件は高く、人々が高給の仕事を見つけたい場合は、健康だけでなく作業能力も含むさまざまなスキルを高める必要があります。しかし、NS0-901認定を取得すると、あなたの作業能力が証明され、理想的な仕事を見つけることができます。 NS0-901試験に簡単に合格できる高品質のNS0-901試験資料を提供します。また、NS0-901試験の学習と準備にほとんど時間を必要としない多くの時間とエネルギーを節約できます。

NS0-901関連試験: https://www.tech4exam.com/NS0-901-pass-shiken.html

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