PDF Version DemoThe HP Using HPE Cray AI Development Environment exam has a reputation for breadth, and many candidates underestimate how much ground it covers. Getcertkey closes those gaps with 42 practice questions that reflect the style and difficulty you can expect in 2026.
HP HPE2-N69 Exam Overview:
| Certification Vendor: | Hewlett Packard Enterprise (HPE) |
|---|---|
| Exam Name: | Using HPE AI and Machine Learning |
| Exam Number: | HPE2-N69 |
| Real Exam Qty: | 40 |
| Passing Score: | 65% |
| Related Certifications: | HPE AI and Machine Learning Certification Track HPE Machine Learning Development Environment |
| Exam Format: | Multiple choice |
| Exam Duration: | 90 minutes |
| Available Languages: | Japanese, English, Korean |
| Recommended Training: | HPE AI and Machine Learning Training (Official) |
| Exam Registration: | Pearson VUE HPE Exams HPE Certification Portal |
| Sample Questions: |  |
| Exam Way: | Online proctored or Pearson VUE test center |
| Pre Condition: | No strict prerequisites (recommended basic ML and Linux/Python familiarity) |
| Official Syllabus URL: | https://certification-learning.hpe.com/tr/exams |
HP HPE2-N69 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Value of HPE ML Solutions | 13% | - Use cases and industry applications
|
| Topic 2: Using HPE Machine Learning Development Environment | 33% | - Experiment lifecycle
|
| Topic 3: Machine Learning and Deep Learning Fundamentals | 24% | - Core ML concepts
|
| Topic 4: Architecture of HPE Machine Learning Development Environment | 15% | - System architecture
|
| Topic 5: Customer Engagement and Solution Design | 15% | - Solution positioning
|
Common Questions About the HP HPE2-N69 Exam
What is the HP Using HPE Cray AI Development Environment exam all about?
The HPE2-N69 exam is the official Hewlett Packard Enterprise (HPE) exam behind the HPE Machine Learning Development Environment Certification certification, validating the skills measured by the HP Using HPE Cray AI Development Environment credential. It sits at the Foundational level of the Hewlett Packard Enterprise (HPE) certification program. It also connects to HPE Machine Learning Development Environment, HPE AI and Machine Learning Certification Track, so the knowledge you build here carries over to those tracks as well.
How many questions are on the HPE2-N69 exam, and how much time do I get?
The HPE2-N69 exam contains 40 questions to be completed within 90 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
Are there any prerequisites for the HPE2-N69 exam?
No strict prerequisites (recommended basic ML and Linux/Python familiarity) Requirements can change when Hewlett Packard Enterprise (HPE) revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the HPE2-N69 exam?
You can book the HP Using HPE Cray AI Development Environment exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online proctored or Pearson VUE test center. Choose the option that suits you best when you book your seat.
What official training is recommended for the HPE2-N69 exam?
Hewlett Packard Enterprise (HPE) recommends the following training resources for the HP Using HPE Cray AI Development Environment exam:
Official courses build the foundation; the 42 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the HPE2-N69 practice questions before I buy?
Yes. Getcertkey provides a free HPE2-N69 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if HP revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the HPE2-N69 exam, and how is my order delivered?
Every HP Using HPE Cray AI Development Environment purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the HPE2-N69 exam?
The HP Using HPE Cray AI Development Environment exam blueprint is organized into 5 domains. The first three are:
- Customer Engagement and Solution Design — 15% of the exam
- Using HPE Machine Learning Development Environment — 33% of the exam
- Architecture of HPE Machine Learning Development Environment — 15% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
HP Using HPE Cray AI Development Environment Sample Questions:
Question #1
What is the role of a hidden layer in an artificial neural network (ANN)?
A. It is responsible for making the final decision about how to label a record, based on weighted input from preceding layers.
B. It receives and weighs inputs from the preceding layer and produces outputs for the next layer.
C. It is responsible for passively reformatting data for use in the ANN.
D. It does not play a role during the forward pass of data through the ANN, but it helps to optimize during the backward pass.
Question #2
A trial is running on a GPU slot within a resource pool on HPE Machine Learning Development Environment. That GPU fails. What happens next?
A. The concluded reschedules the trial on another available GPU in the pool, and the trial restarts from the state of the latest training workload.
B. The conductor reschedules the trial on another available GPU in the pool, and the trial restarts from the latest checkpoint.
C. The trial tails, and the ML engineer must restart it manually by re-running the experiment.
D. The trial fails, and the ML engineer must manually restart it from the latest checkpoint using the WebUI.
Question #3
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. Terralorm
C. PyTorch
D. Docker
Question #4
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. resources: slots_per_trial: 1
B. hyperparameters; optimizer:none
C. searcher: name: single
D. profiling: enabled: false
Question #5
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 a variable learning late
B. Training the model on multiple epochs
C. Using hyperparameter optimization (HPO)
D. Distributing the training across multiple CPUs
Solutions:
| Question #1 Correct Answer: B | Question #2 Correct Answer: B | Question #3 Correct Answer: D | Question #4 Correct Answer: B | Question #5 Correct Answer: C |
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