We're so confident of our products that we provide no hassle product exchange.
HP HPE7-S02 Exam Overview:
| Certification Vendor: | Hewlett Packard Enterprise (HPE) |
| Exam Name: | Advanced HPE Compute Integrator Solutions Written Exam |
| Exam Number: | HPE7-S02 |
| Related Certifications: | HPE ASE – Compute Solutions HPE Master ASE – Compute Architect Solutions |
| Exam Format: | Multiple choice (single/multiple response), Scenario-based, Drag-and-drop |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 40 |
| Passing Score: | 65% |
| Exam Price: | USD 350 (developed countries), USD 195 (emerging countries) |
| Available Languages: | English, Japanese |
| Certificate Validity Period: | 3 years |
| Recommended Training: | Advanced HPE Compute Solutions (Rev. 25.31) |
| Exam Registration: | Pearson VUE HPE Exam Registration |
| Sample Questions: | HP HPE7-S02 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Recommended: HPE ASE – Compute Solutions certification or equivalent experience; 5+ years designing and implementing HPE compute infrastructure |
| Official Syllabus URL: | https://certification-learning.hpe.com/tr/datacard/exam/HPE7-S02 |
HP HPE7-S02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| HPE ProLiant Gen12 for AI | 20% | - GPU integration and configuration - Server architecture and components - AI-optimized compute design |
| AI Workshops and HPE AI Essentials Platform | 15% | - Platform capabilities and deployment - Customer engagement and assessment |
| Integration with Third-Party Platforms | 15% | - Red Hat OpenShift and Kubernetes integration - VMware integration |
| High Performance Computing (HPC) Design and Management | 10% | - Architecture and scaling - Management and monitoring |
| NVIDIA AI Enterprise and Model Serving | 10% | - Model serving architecture and optimization - Software deployment and management |
| Troubleshooting HPE Private Cloud AI | 10% | - Issue diagnosis and resolution - Performance tuning and optimization |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Data pipelines and processing - Analytics and machine learning tools |
| Solution Optimization and Security | 5% | - Security best practices - Efficiency and resilience |
HP Advanced HPE Compute Integrator Solutions Written Sample Questions:
1. What is one innovation in NVIDIA Blackwell GPUs?
A) Support for mixed 4th Generation Tensor Cores and 4th Generation RT Cores
B) A second-generation Transformer Engine with support for more precisions
C) An expanded L4 memory cache
D) High-speed GPU-to-GPU connections over PCIe lanes
2. Which correctly describes an aspect of the AI software stack for HPE Cray XD systems?
A) The systems use HPE GreenLake cloud for multi-systems management.
B) The systems use HPE Performance Cluster Manager for the AI development environment.
C) The systems use a combined firmware and OS, developed by HPE.
D) The systems use Redfish-based firmware and a Linux OS.
3. HPE Private Cloud AI Users want to run interactive Spark applications from notebook servers running on HPE AI Essentials.
What should you do?
A) Ask users to select the image with "spark" in the name when they run a notebook server.
B) Configure the Spark Operator framework from HPE AI Essentials Tools & Frameworks; enable interactive access.
C) Make sure that Livy is installed from the HPE AI Essentials Administration settings for Tools & Frameworks.
D) Create a custom notebook image that supports magic spark commands.
4. An HPE Private Cloud AI customer wants to implement access controls on Airflow DAGs such that only HPE Private Cloud AI Administrators can trigger the DAGs.
What should you recommend?
A) Within the Airflow UI, go to the Security > List Roles page and assign the "trigger" permission to the Admin role.
B) Add an access control line to the DAG code that permits "Admin" the "can_edit" privilege.
C) From within the HPE GreenLake cloud User management page, assign the Airflow Admin role to HPE Private Cloud AI Administrators.
D) Configure the Airflow framework and change the value for the access_control line to "Admin."
5. 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?
A) From the Airflow UI, reduce the memory and CPU for executor pods.
B) From the Airflow UI, reduce the number of slots assigned to the default pool.
C) Configure the Airflow framework to enable autoscaling.
D) Configure the Airflow framework values to adjust the resources assigned to the executor pods.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: B |
By Pearl
