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HPE2-N69: Using HPE AI and Machine Learning

Using HPE AI and Machine Learning
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Using HPE AI and Machine Learning Exam Questions: 40
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The HPE2-N69 also known as Using HPE AI and Machine Learning, this exam is crucial for professionals in the field of HPE AI and Machine Learning. To increase your chances of passing, practicing with real exam questions shared by those who have succeeded can be invaluable. In this guide, we’ll provide you with practice test questions and answers, offering insights directly from candidates who have already passed the exam.

Why Use HPE2-N69 Practice Test?

  • Real Exam Experience: Our practice tests accurately replicate the format and difficulty of the actual HPE2-N69 exam, providing you with a realistic preparation experience.

  • Identify Knowledge Gaps: Practicing with these tests helps you identify areas where you need more study, allowing you to focus your efforts effectively.

  • Boost Confidence: Regular practice with exam-like questions builds your confidence and reduces test anxiety.

  • Track Your Progress: Monitor your performance over time to see your improvement and adjust your study plan accordingly.

Key Features of HPE2-N69 Practice Test:

  • Up-to-Date Content: Our community ensures that the questions are regularly updated to reflect the latest exam objectives and technology trends.

  • Detailed Explanations: Each question comes with detailed explanations, helping you understand the correct answers and learn from any mistakes.

  • Comprehensive Coverage: The practice tests cover all key topics of the HPE2-N69 exam, including:

    • HPE Machine Learning Development Environment
    • Running experiments on HPE Machine Learning Development Environment
    • Understanding machine learning and deep learning fundamentals
    • Qualifying customers for HPE Machine Learning Development Environment
    • Discussing business cases for HPE Machine Learning solutions
  • Customizable Practice: Create your own practice sessions based on specific topics or difficulty levels to tailor your study experience to your needs.

Exam Details:

  • Exam Number: HPE2-N69

  • Exam Name: Using HPE AI and Machine Learning

  • Length of Test: 40 minutes

  • Exam Format: Web-based with multiple-choice, multiple-response, drag-and-drop, and point-and-click questions

  • Exam Language: English

  • Number of Questions: 40 questions

  • Passing Score: 70%

Use the member-shared HPE2-N69 Practice Tests to ensure you're fully prepared for your certification exam. Start practicing today and take a significant step towards achieving your certification goals!

Related questions

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?

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What is a benefit of HPE Machine Learning Development Environment mat tends to resonate with executives?

A.
It uses a centralized training architecture that is highly efficient.
A.
It uses a centralized training architecture that is highly efficient.
Answers
B.
It helps DL projects complete faster for a faster ROI.
B.
It helps DL projects complete faster for a faster ROI.
Answers
C.
It helps companies deploy models and generate revenue.
C.
It helps companies deploy models and generate revenue.
Answers
D.
It automatically cleans up data to create better end results.
D.
It automatically cleans up data to create better end results.
Answers
Suggested answer: B
asked 16/09/2024
Tracy Sampson
34 questions

A company has recently expanded its ml engineering resources from 5 CPUs 1012 GPUs.

What challenge is likely to continue to stand in the way of accelerating deep learning (DU training?

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Compared to Asynchronous Successive Halving Algorithm (ASHA), what is an advantage of Adaptive ASHA?

A.
Adaptive ASHA can handle hyperparameters related to neural architecture while ASHA cannot.
A.
Adaptive ASHA can handle hyperparameters related to neural architecture while ASHA cannot.
Answers
B.
ASHA selects hyperparameter configs entirely at random while Adaptive ASHA clones higherperforming configs.
B.
ASHA selects hyperparameter configs entirely at random while Adaptive ASHA clones higherperforming configs.
Answers
C.
Adaptive ASHA can train more trials in certain amount of time, as compared to ASHA.
C.
Adaptive ASHA can train more trials in certain amount of time, as compared to ASHA.
Answers
D.
Adaptive ASHA tries multiple exploration/exploitation tradeoffs oy running multiple Instances of ASHA.
D.
Adaptive ASHA tries multiple exploration/exploitation tradeoffs oy running multiple Instances of ASHA.
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Suggested answer: D
asked 16/09/2024
Coleman Owie
39 questions

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?

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What role do HPE ProLiant DL325 servers play in HPE Machine Learning Development System?

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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?

A.
How long does it currently take for a DL training to run the backward pass?
A.
How long does it currently take for a DL training to run the backward pass?
Answers
B.
How much do you understand about building ML and DL models?
B.
How much do you understand about building ML and DL models?
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C.
How much time do you spend managing the ML infrastructure?
C.
How much time do you spend managing the ML infrastructure?
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D.
What frustrations do you have with existing ML deployment and differencing solutions?
D.
What frustrations do you have with existing ML deployment and differencing solutions?
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Suggested answer: A
asked 16/09/2024
franz yap
27 questions

What is a benefit or HPE Machine Learning Development Environment, beyond open source Determined AI?

A.
Experiment tracking
A.
Experiment tracking
Answers
B.
Model Inferencing
B.
Model Inferencing
Answers
C.
Distributed training
C.
Distributed training
Answers
D.
Premium dedicated support
D.
Premium dedicated support
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Suggested answer: A
asked 16/09/2024
Roberto Garavaglia
45 questions

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?

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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
A.
The number of servers in the cluster
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B.
The number of agent GPUs
B.
The number of agent GPUs
Answers
C.
The number of processor cores on agents
C.
The number of processor cores on agents
Answers
D.
The number of processor cores on all servers in the cluster
D.
The number of processor cores on all servers in the cluster
Answers
Suggested answer: B
asked 16/09/2024
DIEGO MORENO
41 questions