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| Section | Weight | Objectives |
|---|---|---|
| AI Workshops and HPE AI Essentials Platform | 15% | - Customer engagement and assessment - Platform capabilities and deployment |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
| HPE ProLiant Gen12 for AI | 20% | - AI-optimized compute design - GPU integration and configuration - Server architecture and components |
| Integration with Third-Party Platforms | 15% | - Red Hat OpenShift and Kubernetes integration - VMware integration |
| Solution Optimization and Security | 5% | - Security best practices - Efficiency and resilience |
| Troubleshooting HPE Private Cloud AI | 10% | - Issue diagnosis and resolution - Performance tuning and optimization |
| NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
| High Performance Computing (HPC) Design and Management | 10% | - Architecture and scaling - Management and monitoring |
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NEW QUESTION # 71
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: B
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 # 72
A customer has fine-tuned a model and wants to find out whether the model is producing any toxic content.
Which NVIDIA microservice best meets this need?
Answer: B
Explanation:
D is correct. NVIDIA NeMo Evaluator is designed to measure model and application quality against defined evaluation criteria, including safety-related dimensions. Current NeMo evaluation tooling includes safety evaluations for harmful-content generation, toxicity, bias, hate speech, and related robustness concerns. A customer who has fine-tuned a model and wants to determine whether it produces toxic output needs an evaluation service rather than a data-preparation or runtime-policy component.
NeMo Customizer is used to adapt or fine-tune models. NeMo Curator prepares training data through curation, filtering, and deduplication. NeMo Guardrails is used to apply runtime controls to conversational AI applications, such as restricting unsafe topics or validating inputs and outputs. Guardrails can help prevent unacceptable responses in production, but the question asks which microservice is used to evaluate whether the fine-tuned model is producing toxic content.
A sound AI lifecycle therefore separates customization, evaluation, and enforcement: customize the model, evaluate its behavior, and then apply appropriate guardrails and deployment controls.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 5 "NVIDIA NeMo deep dive"; NVIDIA NeMo Evaluator documentation, safety and security evaluation capabilities.
NEW QUESTION # 73
At the request of an HPE Private Cloud AI customer, you have added an AWS S3 object store to HPE AI Essentials. Several AI Users should be able to access that source when running notebooks and Spark Applications. Other users should have no access. What should you do?
Answer: B
Explanation:
HPE AI Essentials manages user access to data sources through the Identity & Access Management page; for object stores, the admin grants privileges under the Object Store Data tab.
This allows only selected AI Users to access the S3 source.
NEW QUESTION # 74
You are deploying several HPE ProLiant DL Gen12 servers to act as ESXi hosts. How can you help to ensure the servers pass TPM attestation?
Answer: A
Explanation:
VMware TPM attestation validates the ESXi host's measured boot/secure boot state. Enabling UEFI Secure Boot helps ensure the host can pass TPM attestation; SED encryption, TAA compliance, and iLO Service Port are unrelated.
NEW QUESTION # 75
What is one difference between a Class 1 and a Class 3 HPE Slingshot topology?
Answer: C
Explanation:
A is correct. HPE Slingshot topology classes trade edge-facing capacity against the inter-switch links needed to scale the fabric. A Class 1 topology uses a smaller topology structure and can devote more switch ports to L0 connections toward compute-node NICs. A Class 3 topology uses additional switch groups and therefore consumes more switch ports for L1/L2 fabric connectivity, leaving fewer host-facing ports per switch even though the overall fabric can scale to a much larger endpoint count.
Option B reverses the scaling relationship: Class 3 is the topology intended for larger fabrics, not Class 1.
Option C also reverses the port-ratio concept; the larger class requires a greater proportion of inter-switch connectivity. Option D is incorrect because adaptive-routing capabilities are properties of the Slingshot fabric and switch architecture, not a special routing technology unlocked only by choosing Class 1.
This is a topology-design question rather than a raw bandwidth question. The designer balances the number of endpoint ports per switch, the number of switch groups, and the inter-switch links required to maintain the target bisection and path diversity.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 10; HPE Slingshot "Switch Topology Classes" documentation.
NEW QUESTION # 76
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