HP인증 HPE2-N69시험을 한방에 편하게 통과하여 자격증을 취득하려면 시험전 공부가이드가 필수입니다. ITDumpsKR에서 연구제작한 HP인증 HPE2-N69덤프는HP인증 HPE2-N69시험을 패스하는데 가장 좋은 시험준비 공부자료입니다. ITDumpsKR덤프공부자료는 엘리트한 IT전문자들이 자신의 노하우와 경험으로 최선을 다해 연구제작한 결과물입니다.IT인증자격증을 취득하려는 분들의 곁은ITDumpsKR가 지켜드립니다.
HPE2-N69 자격증 시험은 HPE Cray AI 개발 환경을 사용하는 능력에 대한 개발자의 능력을 종합적이고 도전적으로 시험합니다. 이 시험은 60개의 객관식 문제로 구성되어 있으며 90분 이내에 완료해야 합니다. 시험에 합격하려면 최소 70% 이상의 점수를 얻어야 합니다. 시험에 합격한 후에는 국제적으로 인정되고 고용주에게 높은 가치가 부여되는 HPE Cray AI 개발자 자격증을 취득할 수 있습니다.
HPE Cray AI 개발 환경은 인공지능 솔루션을 구축하고 배포하는 데 인기 있는 플랫폼입니다. 이는 개발자가 빠르고 효율적으로 AI 모델을 생성할 수 있도록 다양한 도구와 서비스를 제공합니다. HPE2-N69 자격증 시험은 대상자의 HPE Cray AI 개발 환경에 대한 지식과 이를 사용하여 AI 솔루션을 구축할 수 있는 능력을 평가하기 위해 설계되었습니다.
HP HPE2-N69 자격증 시험은 HPE Cray AI 개발 환경을 사용하는 능력을 입증하고자하는 개인에게 우수한 기회를 제공합니다. 이 시험은 인공지능 개발에 관련된 다양한 주제를 다루며, 시험에 통과하면 산업에서 인정받는 자격증을 획득할 수 있습니다. 이 자격증은 소프트웨어 개발자, 데이터 과학자 및 IT 전문가들이 인공지능 개발 기술을 향상시키고 잠재적인 고용주에게 전문성을 입증하고자하는 경우 이상적입니다.
시험패스에 유효한 HPE2-N69최신 인증시험 덤프데모 덤프데모 다운
ITDumpsKR의 완벽한 HP인증 HPE2-N69덤프는 고객님이HP인증 HPE2-N69시험을 패스하는 지름길입니다. 시간과 돈을 적게 들이는 반면 효과는 십점만점에 십점입니다. ITDumpsKR의 HP인증 HPE2-N69덤프를 선택하시면 고객님께서 원하시는 시험점수를 받아 자격증을 쉽게 취득할수 있습니다.
최신 HPE Product Certified - AI and Machine Learning HPE2-N69 무료샘플문제 (Q37-Q42):
질문 # 37
What is a reason to use the best tit policy on an HPE Machine Learning Development Environment resource pool?
- A. Minimizing costs in a cloud environment
- B. Equally distributing utilization across multiple agents
- C. Ensuring that the highest priority experiments obtain access to more resources
- D. Ensuring that all experiments receive their fair share of resources
정답：A
질문 # 38
The ML engineer wants to run an Adaptive ASHA experiment with hundreds of trials. The engineer knows that several other experiments will be running on the same resource pool, and wants to avoid taking up too large a share of resources. What can the engineer do in the experiment config file to help support this goal?
- A. Under "searcher," set "max_concurrent_trails" to cap the number of trials run at once by this experiment.
- B. Set the "scheduling_unit" to cap the number of resource slots used at once by this experiment.
- C. Under "searcher," set "divisor- to 2 to reduce the share of the resource slots that the experiment receives.
- D. Under "resources.- set 'priority to I to reduce the share of the resource slots mat the experiment receives.
정답：A
설명：
The ML engineer can set "maxconcurrenttrials" under "searcher" in the experiment config file to cap the number of trials run at once by this experiment. This will help ensure that the experiment does not take up too large a share of resources, allowing other experiments to also run concurrently.
질문 # 39
You want to set up a simple demo Ouster tor HPE Machine learning Development Environment for the open source Determined AI) on a local machine. You plan to use "del deploy" to set up the cluster. What software must be installed on the machine before you run that command?
- A. Kubernetes
- B. PyTorch
- C. Terralorm
- D. Docker
정답：D
설명：
Before running the "del deploy" command to set up the cluster, you must first install Docker on the machine. Docker is a containerization platform that is used to run applications in an isolated environment. It is necessary to have Docker installed before running the "del deploy" command to set up the cluster for the open source Determined AI on a local machine.
질문 # 40
An HPE Machine Learning Development Environment resource pool uses priority scheduling with preemption disabled. Currently Experiment 1 Trial I is using 32 of the pool's 40 total slots; it has priority 42. Users then run two more experiments:
* Experiment 2:1 trial (Trial 2) that needs 24 slots; priority 50
* Experiment 3; l trial (Trial 3) that needs 24 slots; priority I
What happens?
- A. Trial 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.
- B. Trial 1 is allowed to finish. Then Trial 2 is scheduled.
- C. Trial I is allowed to finish. Then Trial 3 is scheduled.
- D. Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots.
정답：D
설명：
Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots. This is because priority scheduling is used in the HPE Machine Learning Development Environment resource pool, which means higher priority tasks will be given priority over lower priority tasks. As such, Trial 3 with priority 1 will be given priority over Trial 2 with priority 50.
질문 # 41
You are meeting with a customer, and MUDL engineers express frustration about losing work flue to hardware failures. What should you explain about how HPE Machine Learning Development Environment addresses this pain point?
- A. The solution can take periodic checkpoints during the training process and automatically restart failed training from the latest checkpoint.
- B. The solution continuously monitors agent hardware and sends out proactive alerts before failed hardware causes training to tail.
- C. The solution automatically mirrors the training process on redundant agents, which take over If an issue occurs.
- D. The conductor and each of the agents ate deployed in an active-standby model, which protects in case of hardware issues.
정답：A
설명：
The best way to explain how HPE Machine Learning Development Environment addresses this pain point is to mention that the solution can take periodic checkpoints during the training process and automatically restart failed training from the latest checkpoint. This ensures that in case of a hardware failure, the engineers will not lose their work and training can be resumed from the last successful checkpoint.
질문 # 42
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우리는 고객이 첫 번째 시도에서HP HPE2-N69 자격증시험을 합격할수있다는 것을 약속드립니다. HP HPE2-N69 시험을 합격하여 자격증을 손에 넣는다면 취직 혹은 연봉인상 혹은 승진이나 이직에 확실한 가산점이 될것입니다. HP HPE2-N69시험 어려운 시험이지만 저희HP HPE2-N69덤프로 조금이나마 쉽게 따봅시다.
HPE2-N69덤프샘플 다운: https://www.itdumpskr.com/HPE2-N69-exam.html
