Exam Name: Using HPE Cray AI Development Environment
Certification Provider: HP
Corresponding Certification: HPE Product Certified - AI and Machine Learning
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Check Updated on: Oct 27, 2026
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- Total Questions: 42
- Updated on: Oct 27, 2026
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- Total Questions: 42
- Updated on: Oct 27, 2026
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- Total Questions: 42
- Updated on: Oct 27, 2026
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HP HPE2-N69 Exam Overview:
| Certification Vendor: | Hewlett Packard Enterprise (HPE) |
|---|---|
| Exam Name: | Using HPE Cray AI Development Environment |
| Exam Number: | HPE2-N69 |
| Passing Score: | 70% - 75% |
| Real Exam Qty: | 40 - 60 |
| Exam Format: | Multiple Response, Scenario-based, Multiple Choice, Drag & Drop |
| Related Certifications: | HPE AI and Machine Learning [2022] |
| Certificate Validity Period: | 3 years |
| Exam Price: | $200 USD |
| Available Languages: | Korean, English, Japanese |
| Exam Duration: | 90 minutes |
| Recommended Training: | Using HPE Cray AI Development Environment (Rev. 22.21) |
| Exam Registration: | HPE Certification Portal Pearson VUE Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or at authorized Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended: basic AI/ML knowledge, 3–6 months hands-on experience with HPE or similar ML platforms |
| Official Syllabus URL: | https://certification-learning.hpe.com |
HP HPE2-N69 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Architecture and Deployment | 15% | - Explain deployment options and system components - Describe software architecture of HPE Cray AI/ML Environment - Differentiate from open-source Determined AI |
| ML and DL Fundamentals & Customer Challenges | 24% | - Articulate business value and use cases for HPE solutions - Explain core machine learning and deep learning concepts - Identify common challenges in training deep learning models |
| Integration and Operations | 13% | - Monitor cluster health and performance - Manage data and model lifecycle |
| Environment Usage & Workload Management | 33% | - Navigate web UI and CLI tools - Understand resource allocation and scheduling - Run and manage different types of experiments |
| Solution Qualification & Sizing | 15% | - Perform basic sizing and configuration - Position against market alternatives - Qualify customers for HPE ML solutions |
HPE2-N69 Exam FAQ: Competitive Edge, Honest Prep
No mandatory prerequisites; recommended: basic AI/ML knowledge, 3–6 months hands-on experience with HPE or similar ML platforms Since requirements change over time, confirm the latest on the official HP exam page before scheduling.
The HP Using HPE Cray AI Development Environment exam contains 40 - 60 to complete within 90 minutes. Timed simulation in the Actual4dump Desktop Test Engine teaches that rhythm before exam day does.
The official HP Using HPE Cray AI Development Environment outline defines 5 domains. The leading three are Architecture and Deployment (15%), ML and DL Fundamentals & Customer Challenges (24%), and Environment Usage & Workload Management (33%). The full list is in the topics section above, and Actual4dump's 42 practice questions cover each one.
Online proctored or at authorized Pearson VUE test centers Register for the HP Using HPE Cray AI Development Environment exam through these official channels:
After booking, Actual4dump delivers your practice questions within 1 minute — preparation starts the same day.
The HP Using HPE Cray AI Development Environment exam requires 70% - 75% to pass, and registration costs $200 USD. A failed attempt means paying the same fee again — a readiness check with the Actual4dump engines before booking is the cheaper option.
The HPE2-N69 exam is a HP certification exam validating the HP Using HPE Cray AI Development Environment syllabus shown above. It belongs to these credential paths: HPE AI and Machine Learning [2022]. Candidates in 2026 start with Actual4dump's 42 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
HP recommends these training resources for the HP Using HPE Cray AI Development Environment exam:
Follow the training with steady self-testing — the 42 practice questions from Actual4dump help you apply theory and fill any gaps the training leaves.
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Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows with customizable simulation and timed modes that works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 42 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.
HP Using HPE Cray AI Development Environment Sample 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?
- A. GPU Jupyter Notebook
- B. CPU-only Jupyter Notebook
- C. Training
- D. Validation
Correct Answer: B 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
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. profiling: enabled: false
- C. resources: slots_per_trial: 1
- D. hyperparameters; optimizer:none
Correct Answer: D 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
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 lower than default value.
- B. Set the priority to a higher than default value.
- C. Set the priority to a lower than default value.
- D. Set the weight to a higher than default value.
Correct Answer: D 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
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?
- B. What frustrations do you have with existing ML deployment and differencing solutions?
- C. How much do you understand about building ML and DL models?
- D. How much time do you spend managing the ML infrastructure?
Correct Answer: B 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
A customer is deploying HPE Machine learning Development Environment on on-prem infrastructure. The customer wants to run some experiments on servers with 8 NVIDIA A too GPUs and other experiments on servers with only Z NVIDIA T4 GPUs. What should you recommend?
- A. Deploying two HPE Machine Learning Development Environment clusters, one tor each server type
- B. Establishing multiple compute resource pools on the cluster, one tor servers or each type
- C. Letting the conductor automatically determine which servers to use for each experiment, based on the number of resource slots required
- D. Deploying servers with 8 GPUs as agents and using the conductor to run experiments that require only 2 GPUs
Correct Answer: B 🗳️
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