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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Optimization and Security | 5% | - Efficiency and resilience - Security best practices |
| Topic 2: NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
| Topic 3: High Performance Computing (HPC) Design and Management | 10% | - Management and monitoring - Architecture and scaling |
| Topic 4: Integration with Third-Party Platforms | 15% | - Red Hat OpenShift and Kubernetes integration - VMware integration |
| Topic 5: HPE ProLiant Gen12 for AI | 20% | - AI-optimized compute design - GPU integration and configuration - Server architecture and components |
| Topic 6: HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
| Topic 7: AI Workshops and HPE AI Essentials Platform | 15% | - Platform capabilities and deployment - Customer engagement and assessment |
| Topic 8: Troubleshooting HPE Private Cloud AI | 10% | - Performance tuning and optimization - Issue diagnosis and resolution |
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質問 # 66
Which statement about HPE Alletra storage integration with HPE compute solutions is most accurate?
正解：D
解説：
HPE Alletra is HPE's unified data storage brand spanning multiple platforms for block, file, and hybrid workloads, and it integrates with HPE GreenLake and InfoSight for AI-driven, cloud- operated management alongside compute resources, giving integrators a consistent management experience. It is not limited to block-only, edge-only, or fully siloed from compute management.
質問 # 67
Which HPE offering allows an integrator to model, size, and validate a proposed HPE compute and storage solution against a customer's workload requirements before purchase?
正解：B
解説：
HPE Sizer tools let partners and integrators model workload requirements (compute, storage, networking) and generate validated bill-of-materials recommendations. HPE Power Advisor specifically estimates power/cooling requirements for a given configuration, SPOCK validates compatibility rather than sizing, and Smart Update Manager handles firmware/driver updates post-purchase.
質問 # 68
A customer has HPE ProLiant DL Gen12 servers managed by HPE Compute Ops Management and acting as VMware vSphere ESXi hosts. How can you handle updating the servers' firmware and OS together?
正解：B
解説：
HPE Compute Ops Management integrates with VMware vCenter/vSphere Lifecycle Manager so vLCM can manage ESXi host lifecycle, including OS, driver, and firmware updates together for supported HPE servers. HPE notes that Gen10 and later servers managed by Compute Ops Management are supported.
質問 # 69
An HPE Private Cloud AI customer wants to prevent Airflow from consuming too many resources on the cluster.
What is one approach you can take to fulfill this request?
正解：B
解説：
D is correct. Airflow pools provide a direct mechanism for controlling task concurrency. Each pool has a defined number of slots, and tasks assigned to that pool consume slots while they execute. Reducing the number of slots in the default pool therefore limits the number of tasks that can run simultaneously and places an upper bound on how aggressively Airflow can consume cluster resources across concurrent DAG activity.
Option A is not the supported control in this scenario; the Airflow UI does not serve as the general editor for executor-pod CPU and memory sizing. Option B is the opposite of the stated objective because enabling autoscaling can increase executor capacity in response to demand. Option C suggests changing framework values for executor resources, but HPE's Airflow integration historically constrains those settings and the exam-tested method for limiting aggregate workload pressure is pool concurrency.
This is a scheduling-level safeguard rather than a Kubernetes quota. In a production environment, pool slots can be combined with platform quotas and workload resource requests to create layered control over resource consumption.
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 4 "Airflow" and Module 7 resource troubleshooting; HPE AI Essentials Airflow documentation, pool slots and maximum simultaneous jobs.
質問 # 70
An HPE Private Cloud AI Administrator has imported a custom framework. Users can click the framework's endpoint link and access the framework successfully. However, sometimes users will try to go to the framework's page and they get an error.
What is one thing to investigate?
正解：D
解説：
References/topics: Advanced HPE Compute Solutions, Rev. 26.21, Module 3 imported-framework communications and troubleshooting; HPE7-S02 Release Notes, June 15, 2026, framework-import updates and automatic Keycloak redirect URL handling.
質問 # 71
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