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HPE2-N69 Exam
- Topic 1: Explain how HPE Machine Learning Development Environment helps customers surmount their challenges/ Run a proof of concept (PoC)
- Topic 2: Explain how the Machine Learning Development Environment uses resources and schedules workloads/ Understand the challenges customers face in training DL models
- Topic 3: Demonstrate running a variety of experiment types on the HPE Machine Learning Development Environment/ Describe how HPE Machine Learning Development Environment fits in the market
- Topic 4: Describe the HPE Machine Learning Development Environment software architecture and deployment options/ Have a conversation with customers about machine learning (ML) and deep learning (DL)
- Topic 5: Size HPE Machine Learning Development Environment and System solutions/ Understand machine learning (ML) and deep learning (DL) fundamentals
- Topic 6: Qualify customers for HPE Machine Learning Development Environment and System/ Articulate the business case for HPE Machine Learning Development solutions
- Topic 7: Demonstrate and explain how to use HPE Machine Learning Development Environment/ Describe the architecture for HPE Machine Learning Development solutions
Free HP HPE2-N69 Exam Actual Questions
The questions for HPE2-N69 were last updated On Mar. 10, 2023
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?
Pool 1 has two agents, each with 100 aux containers, and a total of 0 slots. This means that the cluster is configured to run CPU-only workloads, such as running a CPU-only Jupyter Notebook. Training, GPU Jupyter Notebook, and validation workloads cannot be run on this cluster due to the lack of GPU resources.
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?
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.
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?
What role do HPE ProLiant DL325 servers play in HPE Machine Learning Development System?
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?
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