Hewlett Packard Enterprise • HPE2-B08 • SC-PCAI • Rev. 25.41
CERTIFICATION GUIDE
HPE2-B08 Certification Guide: HPE Private Cloud AI Solutions Syllabus, sample questions and a study plan for the SC-PCAI exam All five exam topics with their official weightings and every listed objective, plus the exam fact sheet, who this pre-sales exam is really written for, how HPE and NVIDIA split the solution, the sizing tools it expects you to know, and ten real sample questions - multi-select ones marked - with a full answer key.
40
90
70%
$140
5
QUESTIONS
MINUTES
PASSING SCORE
EXAM FEE
EXAM TOPICS
Prepared by CertFun • www.certfun.com
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Hewlett Packard Enterprise HPE2-B08
SECTION 01
Exam Overview The HPE2-B08 HPE Private Cloud AI Solutions certification sits behind the credential HPE Solution Certified - Private Cloud AI. It is 40 questions in 90 minutes, web based, with a 70% bar and no reference material allowed. Everything below comes from CertFun’s SC-PCAI exam syllabus, cross-checked against HPE’s official HPE2-B08 exam page. Certification
HPE Solution Certified - Private Cloud AI (SC-PCAI)
Exam ID
HPE2-B08
Exam version
HPE Private Cloud AI Solutions, Rev. 25.41
Number of questions
40
Exam duration
90 minutes
Passing score
70%
Exam fee
USD 140 (developed countries) / USD 75 (emerging countries)
Exam type
Web based
Delivery languages
English, Japanese, Korean
Reference material
Not allowed at the testing site
Scheduling
Pearson VUE
Two details are easy to miss. The fee is tiered by country - USD 140 in developed markets, USD 75 in emerging ones - so check which applies before you budget. And the exam is web based with no reference material, which rules out having the configurator or a datasheet open beside you. Booking runs through Pearson VUE. SECTION 02
Who This Exam Is Actually For This is the section that saves people a wasted booking. HPE2-B08 is a pre-sales exam, not a hands-on engineering one. HPE’s own course for it is aimed at channel partners and pre-sales consultants, and the objectives read accordingly: assess a customer’s AI maturity, position the right solution, describe what HPE and NVIDIA each contribute, and size and quote the configuration. Nothing asks you to deploy a cluster or tune a model.
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What the objectives really ask of you Talk about AI concepts fluently enough to hold a customer conversation. Judge where a customer sits on the AI maturity curve, then position accordingly. Explain the split: what HPE brings, what NVIDIA brings, and why together. Pick the right config size, and build a quote with Intelligent Configurator and OCA.
So if you are an engineer hoping this proves deployment skill, it will not - look at the HPE AI Solutions or infrastructure tracks instead. If you sell, scope or quote AI infrastructure, it maps almost exactly onto your day. The wider HPE catalogue sits on the CertFun HPE vendor page. SECTION 03
The Five Exam Topics, by Weight HPE publishes exact weightings, so you can aim your study time rather than guess. The single heaviest topic is fundamental AI concepts at 28%% - more than either of the product-specific topics - which surprises people who assume a vendor exam is all product. Infrastructure and software together are 40%%, and sizing is a further 17%%. 28%
Recognise fundamental AI concepts Describe the infrastructure components
20%
Describe the software components
20%
Size and configure the solution Assess and position for the customer
17% 15%
Official topic weightings, HPE2-B08 (Rev. 25.41). Every listed sub-topic follows, straight from the exam syllabus. Read it as a checklist — if you cannot explain a line to someone else, it is a study item. 01. Recognise fundamental AI concepts — 28% • Recognize fundamental AI concepts
02. Describe the infrastructure components — 20% • Describe the infrastructure components of HPE Private Cloud AI with NVIDIA • Explain the benefits of HPE and NVIDIA infrastructure • Explain how this infrastructure meets AI workload requirements
03. Describe the software components — 20% • Describe the software components of HPE Private Cloud AI with NVIDIA • Explain the benefits of HPE and NVIDIA software components • Explain how these components meet AI workload requirements
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04. Size and configure the solution — 17% • Describe the differences between each solution’s config sizes • Explain how to use HPE Intelligent Configurator to select the correct size • Explain how to build a config for HPE Private Cloud AI using One Config Advanced (OCA)
05. Assess and position for the customer — 15% • Assess customers’ AI maturity, workloads, and use cases • Position HPE AI solutions based on customers’ AI maturity, workloads, and use cases
SECTION 04
What the Credential Is Worth The value here is narrow but sharp. Enterprise AI infrastructure is where a great deal of current spending is going, and HPE Private Cloud AI with NVIDIA is HPE’s headline offer in that space. A credential that says you can scope and quote it speaks directly to partner organisations selling that stack - which is exactly who HPE built the exam for. Why this one, specifically It is short - 40 questions - and carries no prerequisites. It maps onto a live, well-funded product line rather than a legacy one. It certifies the commercial skill set: assess, position, size, quote. For partner organisations it counts toward HPE competency requirements.
Be honest with yourself about the fit, though. This is a solution-selling credential. It will not, on its own, get you an infrastructure engineering role - and it is not meant to. Paired with a technical certification it rounds out a profile; on its own it says you can take an AI infrastructure conversation from first meeting to quote.
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SECTION 05
Getting Certified, Step by Step 1
Start with the AI concepts, not the product The heaviest topic at 28% is generic AI understanding - do not skip it as filler.
2
Take the official Rev. 25.41 course HPE’s self-paced HPE Private Cloud AI Solutions course, built for this exam.
3
Learn the split: HPE vs NVIDIA Which layer each supplies, and why the combination is positioned as it is.
4
Practise sizing with the real tools Intelligent Configurator for sizing, One Config Advanced for building the quote.
5
Book through Pearson VUE Forty questions, 90 minutes, 70% to pass, no reference material at the desk.
For the last step, CertFun’s HPE2-B08 practice exam mirrors the real format and weighting so you find the gaps before the exam does. SECTION 06
HPE2-B08 Sample Questions These ten come from CertFun’s HPE2-B08 sample questions page, shown in shuffled order. Half are multiple-select and marked as such - that is representative, and it is where marks get dropped, because a partly-right answer earns nothing. Notice how many are scenario questions: a customer, a workload, and a choice of components. Answers follow the set. Q1. How does NVIDIA AI Enterprise enhance AI workloads on HPE Private Cloud AI? a) By providing enterprise-grade software optimizations for AI and deep learning b) By replacing the need for AI-specific hardware c) By restricting AI workloads to on-premises environments d) By automating all AI model decisions without human intervention Q2. How does One Config Advanced (OCA) help in building an HPE Private Cloud AI configuration? a) By automating AI training pipelines b) By replacing manual AI workload tuning c) By selecting optimal hardware and software components d) By enforcing static AI configurations
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Q3. Which NVIDIA software framework is used for deep learning model acceleration? a) OpenStack b) HPE Ezmeral Container Platform c) HPE OneView d) NVIDIA TensorRT Q4. A university is building an AI research lab and requires scalable infrastructure for machine learning model training. What key components should they implement? (select two) a) Low-power CPUs without GPU acceleration b) High-bandwidth storage optimized for AI datasets c) Standard office laptops for AI model execution d) High-performance compute nodes with NVIDIA GPUs Q5. What are key benefits of using HPE GreenLake for AI workloads? (select two) a) AI-as-a-Service with scalable deployment options b) Cloud-based AI training with flexible resource management c) Limiting AI workloads to fixed configurations d) Preventing automation in AI model execution Q6. Which deep learning frameworks are commonly used for AI development? (select two) a) TensorFlow b) Apache Hadoop c) PyTorch d) MySQL Q7. A healthcare provider wants to implement an AI-powered diagnostic imaging platform. What infrastructure components should they use? (select two) a) Low-power CPUs with HDD storage b) Standard LAN networking without high-speed connectivity c) HPE Apollo 6500 servers with NVIDIA GPUs d) High-speed NVMe storage for medical image processing Q8. Which hardware is commonly used to accelerate AI workloads? a) CPUs b) GPUs and TPUs c) SSDs d) RAM modules
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Q9. A company is training deep learning models and needs high-performance compute resources. Which HPE solution should they consider? a) HPE Apollo 6500 with NVIDIA GPUs b) Standard x86 servers with no GPU acceleration c) HPE ProLiant Gen10 for web hosting d) Legacy storage arrays with low compute power Q10. In which industries is AI commonly used for predictive analytics? (select two) a) Static document storage management b) Retail for demand forecasting c) Finance for fraud detection d) Manual invoice processing
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
Q9
Q10
a
c
d
b, d
a, b
a, c
c, d
b
a
b, c
Answer key
SECTION 07
Where to Go Next HPE refreshed this exam’s release notes in November 2025, so check you are working from the current revision. The HPE Community is where partners compare notes on the certification and the product behind it. Quick reference Official exam page - certification-learning.hpe.com Exam syllabus + practice test - certfun.com/hpe Partner discussion - community.hpe.com Scheduling - pearsonvue.com/us/en/hpe.html
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Before you book — the guide in one card Questions
40
Duration
90 minutes
Passing score
70%
Exam type
Web based
Fee
USD 140 / USD 75
Revision
Rev. 25.41
Languages
English, Japanese, Korean
Fundamental AI concepts
Product
Infrastructure + software
(28%)
topics
(40%)
Configurator and OCA (17%)
Audience
Pre-sales and partners
Heaviest topic Sizing topic
Reference material
Not allowed
Good luck - and remember what this exam is measuring. It is not asking whether you can build the platform. It is asking whether you can walk into a customer conversation, work out what they need, and put a correctly sized quote on the table.
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