HP HPE2-N69 Exam Practice Test Instant Access

Question 1

Your cluster uses Amazon S3 to store checkpoints. You ran an experiment on an HPE Machine Learning Development Environment cluster, you want to find the location tor the best checkpoint created during the experiment. What can you do?

AIn the experiment config that you used, look for the 'bucket' field under 'hyperparameters.' This is the UUID for checkpoints.

BUse the 'det experiment download -top-n I' command, referencing the experiment ID.

CIn the Web Ul, go to the Task page and click the checkpoint task that has the experiment ID.

DLook for a 'determined-checkpoint/' bucket within Amazon S3, referencing your experiment ID.

Answer : D

HPE Machine Learning Development Environment uses Amazon S3 to store checkpoints. To find the location of the best checkpoint created during an experiment, you need to look for a 'determined-checkpoint/' bucket within Amazon S3, referencing your experiment ID. This bucket will contain all of the checkpoints that were created during the experiment.

Question 2

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?

AHP-UX v11i

BWindows Server 2016 or above

CWindows 10 or above

DRed Hat 7-based Linux

Answer : D

The OS supported for setting up a simple demo cluster for HPE Machine Learning Development Environment for the open source Determined on a local machine is Red Hat 7-based Linux. Red Hat 7-based Linux is an open source operating system that is used extensively in enterprise applications. It provides a stable and secure platform for running applications and is suitable for use in a demo cluster.

Question 3

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

AHospitality

BK-12education

CRetail

DManufacturing

Answer : D

One key target vertical for HPE Machine Learning Development solutions is Manufacturing. Manufacturing businesses are using machine learning to automate processes, reduce costs, and improve safety and quality control. HPE ML solutions provide the tools and technologies to help manufacturers develop and deploy ML models in their production environments, enabling them to optimize and automate their operations.

Question 4

You are proposing an HPE Machine Learning Development Environment solution for a customer. On what do you base the license count?

AThe number of servers in the cluster

BThe number of agent GPUs

CThe number of processor cores on agents

DThe number of processor cores on all servers in the cluster

Answer : D

The license count for the HPE Machine Learning Development Environment solution would be based on the number of processor cores on all servers in the cluster. This includes all servers in the cluster, regardless of whether they are running agents or not. Each processor core in the cluster requires a license and these licenses can be purchased in packs of 2, 4, 8, and 16.

Question 5

A customer mentions that the ML team wants to avoid overfitting models. What does this mean?

AThe team wants to avoid wasting resources on training models with poorly selected hyperparameters.

BThe team wants to spend less time on creating the code tor models and more time training models.

CThe team wants to avoid training models to the point where they perform less well on new data.

DThe team wants to spend less time figuring out which CPUs are available for training models.

Answer : C

Overfitting occurs when a model is trained too closely on the training data, leading to a model that performs very well on the training data but poorly on new data. This is because the model has been trained too closely to the training data, and so cannot generalize the patterns it has learned to new data. To avoid overfitting, the ML team needs to ensure that their models are not overly trained on the training data and that they have enough generalization capacity to be able to perform well on new data.

Question 6

You want to open the conversation about HPE Machine Learning Development Environment with an IT contact at a customer. What can be a good discovery question?

AHow long does it currently take for a DL training to run the backward pass?

BHow much do you understand about building ML and DL models?

CHow much time do you spend managing the ML infrastructure?

DWhat frustrations do you have with existing ML deployment and differencing solutions?

Answer : D

A good discovery question to start a conversation about HPE Machine Learning Development Environment with an IT contact at a customer would be: 'What frustrations do you have with existing ML deployment and differencing solutions?' By understanding the customer's current challenges and frustrations, you can better determine how HPE's ML Development Environment could help to address those needs.

Question 7

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?

AKubernetes

BPyTorch

CTerralorm

DDocker

Answer : D

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.

HP Using HPE AI and Machine Learning HPE2-N69 Exam Practice Test