Summer Special Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: exc65

An HPE Machine Learning Development Environment cluster has this resource pool:

Name: pool 1

Location: On-prem

Agents: 2

Aux containers per agent: 100

Total slots: 0

Which type of workload can run In pool I?

A.

Training

B.

GPU Jupyter Notebook

C.

Validation

D.

CPU-only Jupyter Notebook

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 I is allowed to finish. Then Trial 3 is scheduled.

B.

Trial 2 is scheduled on 8 of the slots. Then, alter Trial 1 has finished, it receives 16 more slots.

C.

Trial 1 is allowed to finish. Then Trial 2 is scheduled.

D.

Trial 3 is scheduled on 8 of the slots. Then, after Trial 1 has finished, it receives 16 more slots.

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.

Distributing the training across multiple CPUs

C.

Using a variable learning late

D.

Training the model on multiple epochs

What is a reason to use the best tit policy on an HPE Machine Learning Development Environment resource pool?

A.

Ensuring that all experiments receive their fair share of resources

B.

Minimizing costs in a cloud environment

C.

Equally distributing utilization across multiple agents

D.

Ensuring that the highest priority experiments obtain access to more resources

A customer is using fair-share scheduling for an HPE Machine Learning Development Environment resource pool. What is one way that users can obtain relatively more resource slots for their important experiments?

A.

Set the weight to a higher than default value.

B.

Set the weight to a lower than default value.

C.

Set the priority to a lower than default value.

D.

Set the priority to a higher than default value.

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

What is one key target vertical (or HPE Machine Learning Development solutions?

A.

Hospitality

B.

K-12education

C.

Retail

D.

Manufacturing

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 servers in the cluster

B.

The number of agent GPUs

C.

The number of processor cores on agents

D.

The number of processor cores on all servers in the cluster

What type of interconnect does HPE Machine learning Development System use for high-speed, agent-to-agent communications?

A.

Remote Direct Memory Access (RDMA) overconverged Ethernet (RoCE)

B.

Slingshot

C.

InfiniBand

D.

Data Center Bridging (OCB)-enabled Ethernet

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 not ready for an HPE Machine Learning Development solution. Out you could recommend an educational HPE Pointnext ASPS workshop.

C.

The customer is a key target for HPE Machine Learning Development Environment, but not HPE Machine Learning Development System.

D.

The customer is a key target for an HPE Machine Learning Development solution, and you should continue the discussion.