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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HPE AI Essentials: Data Analytics and Data Science | 15% | - Analytics and machine learning tools - Data pipelines and processing |
| Topic 2: HPE ProLiant Gen12 for AI | 20% | - GPU integration and configuration - Server architecture and components - AI-optimized compute design |
| Topic 3: High Performance Computing (HPC) Design and Management | 10% | - Architecture and scaling - Management and monitoring |
| Topic 4: AI Workshops and HPE AI Essentials Platform | 15% | - Customer engagement and assessment - Platform capabilities and deployment |
| Topic 5: Solution Optimization and Security | 5% | - Security best practices - Efficiency and resilience |
| Topic 6: Integration with Third-Party Platforms | 15% | - VMware integration - Red Hat OpenShift and Kubernetes integration |
| Topic 7: NVIDIA AI Enterprise and Model Serving | 10% | - Model serving architecture and optimization - Software deployment and management |
| Topic 8: Troubleshooting HPE Private Cloud AI | 10% | - Issue diagnosis and resolution - Performance tuning and optimization |
>> Exam HP HPE7-S02 Flashcards <<
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NEW QUESTION # 20
An HPE Private Cloud AI customer wants to eliminate the certificate errors that show when users access HPE AI Essentials. The customer has created a certificate signed by their CA to replace the current certificate. The customer has given you the certificate file, private key file, and CA certificate file. How should you install this certificate?
Answer: D
Explanation:
For a customer-provided certificate, key, and CA certificate, you replace the existing Istio ingress gateway certificate material by recreating the ingress-cert secret in the istio-system namespace.
Cert-manager/ClusterIssuer is used when you want cert-manager to issue or renew the certificate automatically.
NEW QUESTION # 21
What is one action that an HPE Private Cloud AI Administrator can perform from the Alerts view in HPE AI Essentials?
Answer: A
Explanation:
In the HPE AI Essentials Alerts view, an administrator can select View Logs to inspect pod logs related to the alert. This helps troubleshoot the workload or platform component that generated the alert.
NEW QUESTION # 22
What is one innovation in NVIDIA Blackwell GPUs?
Answer: A
Explanation:
A is correct, with the terminology corrected to "second-generation Transformer Engine." NVIDIA Blackwell introduces a second-generation Transformer Engine that expands support for lower-precision numerical formats used in AI workloads. By dynamically selecting suitable precision while preserving model quality, the architecture can increase throughput and reduce memory and compute requirements for training and inference. Blackwell also introduces newer Tensor Core capabilities specifically designed for generative-AI workloads.
The other choices do not accurately describe Blackwell. The architecture is not characterized by an "L4 memory cache." High-speed GPU-to-GPU communication in HGX-class systems relies on NVIDIA NVLink
/NVSwitch technology rather than simply routing peer traffic over ordinary PCIe lanes. Blackwell uses fifth- generation Tensor Cores; therefore an answer referring to a mixture of fourth-generation Tensor and RT cores is not correct.
For the HPE7-S02 objective, the important point is workload fit. HPE AI-optimized systems use current accelerator architectures because LLM training and inference depend heavily on tensor throughput, efficient low-precision arithmetic, high memory bandwidth, and fast GPU interconnects.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 1 "HPE ProLiant Gen12 for AI"; HPE and NVIDIA Blackwell platform materials; NVIDIA Blackwell architecture documentation.
NEW QUESTION # 23
You are deploying several HPE ProLiant Gen12 servers to act as VMware vSAN nodes.
How should you configure the vSAN drives on the servers' storage controller?
Answer: C
Explanation:
A is correct. VMware vSAN is designed to manage its storage devices directly so that it can create disk groups or storage pools, apply its own data-placement policies, and monitor device health and performance.
On HPE ProLiant servers using a supported storage controller, vSAN data drives should therefore be presented in passthrough/HBA mode where the controller and vSAN design support it. This exposes the individual drives rather than hiding them behind a hardware RAID virtual disk.
RAID 1 and RAID 5 in options D and C would move redundancy and data placement into the controller, preventing vSAN from managing the devices as intended. Option B incorrectly treats erasure coding as a storage-controller mode. vSAN can apply software-defined RAID/erasure-coding policies at the datastore layer, but that is separate from configuring the physical controller.
The exact controller, firmware, driver, and device configuration must match the VMware Compatibility Guide and HPE vSAN design guidance. Passthrough is the architectural principle; supportability still depends on the validated hardware stack.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 8 "VMware vSAN on HPE solutions"; HPE and VMware vSAN configuration guidance.
NEW QUESTION # 24
What is one way that HPE minimizes costs for the HPE Private Cloud AI Developer System?
Answer: C
Explanation:
A is correct. The HPE Private Cloud AI Developer System is positioned as a smaller, cost-conscious configuration for development and proof-of-concept work. Integrating file and object storage into the AI- optimized node reduces the need to purchase, cable, power, and administer a separate external storage tier for the entry configuration. That consolidation lowers infrastructure cost while preserving the data-access patterns required by notebooks, model assets, and AI development workflows.
The remaining choices contradict the design intent of HPE Private Cloud AI. An AI-optimized node is not made cost-effective by eliminating GPU acceleration and using CPU-only compute; doing so would undermine the target AI workload. HPE also does not reduce value by stripping out the integrated software toolchain. The platform's advantage is precisely the curated, validated software environment. NVIDIA AI Enterprise support is likewise a core differentiator of HPE Private Cloud AI with NVIDIA rather than an optional capability removed to save money.
For exam purposes, distinguish architectural consolidation from functional reduction. HPE minimizes entry- system cost by integrating necessary infrastructure components, not by removing the accelerated-compute or enterprise-AI capabilities that define the solution.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 1 "HPE ProLiant Gen12 for AI" and HPE solutions for AI; HPE Private Cloud AI engineered-system and Developer System materials.
NEW QUESTION # 25
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