最新のHPE2-N69試験のリアル試験問題 本日無料更新されました
HPE2-N69リアル試験問題解答は更新された[2022年10月23日]
質問 15
Compared to Asynchronous Successive Halving Algorithm (ASHA), what is an advantage of Adaptive ASHA?
- A. Adaptive ASHA tries multiple exploration/exploitation tradeoffs oy running multiple Instances of ASHA.
- B. Adaptive ASHA can train more trials in certain amount of time, as compared to ASHA.
- C. ASHA selects hyperparameter configs entirely at random while Adaptive ASHA clones higher-performing configs.
- D. Adaptive ASHA can handle hyperparameters related to neural architecture while ASHA cannot.
正解: A
質問 16
Where does TensorFlow fit in the ML/DL Lifecycle?
- A. it provides pipelines to manage the complete lifecycle.
- B. It is primarily used to transport trained models to a deployment environment.
- C. It adds system and GPU monitoring to the training process.
- D. it helps engineers use a language like Python to code and trail DL models.
正解: D
質問 17
You want to set up a simple demo cluster for HPE Machine Learning Development Environment for the open source Determined all on a local machine. Which OS Is supported?
- A. Red Hat 7-based Linux
- B. Windows 10 or above
- C. HP-UX v11i
- D. Windows Server 2016 or above
正解: C
質問 18
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. Under "searcher," set "divisor- to 2 to reduce the share of the resource slots that the experiment receives.
- C. Set the "scheduling_unit" to cap the number of resource slots used at once by this experiment.
- D. Under "resources.- set 'priority to I to reduce the share of the resource slots mat the experiment receives.
正解: A
質問 19
What is the role of a hidden layer in an artificial neural network (ANN)?
- A. It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.
- B. It is responsible for passively reformatting data for use in the ANN.
- C. It receives and weighs inputs from the preceding layer and produces outputs for the next layer.
- D. It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.
正解: D
質問 20
You are proposing an HPE Machine Learning Development Environment solution for a customer. On what do you base the license count?
- A. The number of agent GPUs
- B. The number of processor cores on all servers in the cluster
- C. The number of servers in the cluster
- D. The number of processor cores on agents
正解: A
質問 21
A customer mentions that the ML team wants to avoid overfitting models. What does this mean?
- A. The team wants to avoid wasting resources on training models with poorly selected hyperparameters.
- B. The team wants to spend less time figuring out which CPUs are available for training models.
- C. The team wants to spend less time on creating the code tor models and more time training models.
- D. The team wants to avoid training models to the point where they perform less well on new data.
正解: B
質問 22
You are meeting with a customer how has several DL models deployed. Out wants to expand the projects.
The ML/DL team is growing from 5 members to 7 members. To support the growing team, the customer has assigned 2 dedicated IT start. The customer is trying to put together an on-prem GPU cluster with at least 14 CPUs.
What should you determine about this customer?
- A. The customer is not ready for an HPE Machine Learning Development solution, but you could recommend open-source Determined Al.
- B. The customer is a key target for HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.
- C. The customer is not ready for an HPE Machine Learning Development solution. Out you could recommend an educational HPE Pointnext ASPS workshop.
- D. The customer is a key target for an HPE Machine Learning Development solution, and you should continue the discussion.
正解: A
質問 23
A company has an HPE Machine Learning Development Environment cluster. The ML engineers store training and validation data sets in Google Cloud Storage (GCS). What is an advantage of streaming the data during a trial, as opposed to downloading the data?
- A. The trial can better separate training and validation data.
- B. The trial can more quickly start up and begin training the model.
- C. Setting up streaming is easier that setting up downloading.
- D. Streaming requires just one bucket, while downloading requires many.
正解: A
質問 24
ML engineers are defining a convolutional neural network (CNN) model bur they are not sure how many filters to use in each convolutional layer. What can help them address this concern?
- A. Using hyperparameter optimization (HPO)
- B. Training the model on multiple epochs
- C. Distributing the training across multiple CPUs
- D. Using a variable learning late
正解: B
質問 25
What is a benefit or HPE Machine Learning Development Environment, beyond open source Determined AI?
- A. Experiment tracking
- B. Model Inferencing
- C. Distributed training
- D. Premium dedicated support
正解: A
質問 26
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 1 is allowed to finish. Then Trial 2 is scheduled.
- B. Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots.
- C. Trial 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.
- D. Trial I is allowed to finish. Then Trial 3 is scheduled.
正解: D
質問 27
A customer has Men expanding its deep learning (DO prefects and is confronting several challenges. Which of these challenges does HPE Machine Learning Development Environment specifically address?
- A. Complex and time-consuming hyperparameter optimization (HPO)
- B. Complex and time-consuming data cleansing process
- C. Complex model deployment processes
- D. Time-consuming data collection
正解: B
質問 28
The 10 agents in "my-compute-poor nave 8 GPUs each, you want to change an experiment config to run on multiple GPUs at once. What Is a valid setting tor "resources_per_trial?
- A. 0
- B. 1
- C. 2
- D. 3
正解: B
質問 29
What type of interconnect does HPE Machine learning Development System use for high-speed, agent-to-agent communications?
- A. Slingshot
- B. Data Center Bridging (OCB)-enabled Ethernet
- C. Remote Direct Memory Access (RDMA) overconverged Ethernet (RoCE)
- D. InfiniBand
正解: B
質問 30
An ml engineer wants to train a model on HPE Machine Learning Development Environment without implementing hyper parameter optimization (HPO). What experiment config fields configure this behavior?
- A. searcher: name: single
- B. resources: slots_per_trial: 1
- C. hyperparameters; optimizer:none
- D. profiling: enabled: false
正解: B
質問 31
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最新のHPE2-N69学習ガイド2022年最新の- 提供するのはテストエンジンとPDF：https://jp.fast2test.com/HPE2-N69-premium-file.html
お手軽に合格させる最新のHP HPE2-N69問題集には42問があります：https://drive.google.com/open?id=1qpwhFc-t98NtA_Th-zpKv8kjDB6J0XPW