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HP HPE7-S01 Exam Overview:
| Certification Vendor: | HPE |
|---|---|
| Exam Name: | Advanced HPE Compute Architect Solutions Written Exam |
| Exam Number: | HPE7-S01 |
| Passing Score: | 70% |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Real Exam Qty: | 60 |
| Related Certifications: | HPE Master ASE - Compute Architect |
| Exam Format: | Proctored, Multiple Choice |
| Sample Questions: |  |
| Exam Way: | Pearson VUE testing center or online proctored exam |
| Pre Condition: | Recommended: 5+ years of experience designing and implementing enterprise compute infrastructures, AI, HPC, hybrid cloud, and data center solutions. |
| Official Syllabus URL: | https://certification-learning.hpe.com/tr/datacard/Exam/HPE7-S01 |
HP HPE7-S01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Demonstrate AI Solutions | 10% | - AI solution demonstration
|
| Topic 2: Explain HPE Compute AI and HPC Solution Components and Architecture | 38% | - Management and automation
|
| Topic 3: Manage Implementation and Startup of HPE AI and HPC Solutions | 2% | - Deployment and validation
|
| Topic 4: Design HPE Solutions for AI and HPC Workloads | 50% | - Infrastructure integration
|
HP Advanced HPE Compute Architect Solutions Written Prep: Three Versions, One Verified Bank
- Manage Implementation and Startup of HPE AI and HPC Solutions (2%)
- Design HPE Solutions for AI and HPC Workloads (50%)
- Demonstrate AI Solutions (10%)
HP Advanced HPE Compute Architect Solutions Written Sample Questions:
A customer wants you to design a solution for effectively near 100% liquid cooling for their HPE Cray XD systems.
Which solution should you propose?
- A. 100% DLC for the HPE Cray XD systems
- B. Closed-loop liquid cooling for the HPE Cray XD Systems plus an HPE ARCS
- C. 70% DLC plus a closed-loop liquid cooling system for the HPE Cray XD Systems
- D. 70% DLC for the HPE Cray XD systems plus an HPE RDHX
Correct Answer: A 🗳️
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An HPE Private Cloud AI administrator is running multiple AI workloads and needs insight into which workloads are using resources.
Which HPE Private Cloud AI feature helps to deliver this visibility?
- A. HPE AI Essentials GPU control panel
- B. HPE GreenLake Cloud AI Insights
- C. HPE Private Cloud AI system view
- D. AI optimized nodes' iLO interfaces
Correct Answer: A 🗳️
Explanation: Only visible for Prep4SureReview members. You can sign-up / login (it's free).
A potential HPE Private Cloud AI customer has data stored in several locations. These include a Cassandra database, a Hive data warehouse, and a data lakehouse on S3 object storage.
Which correctly describes the HPE Private Cloud AI's ability to query data across these sources?
- A. It can run queries across all three data sources.
- B. It can run queries on each of these data sources, but it can only query one data source at a time.
- C. It can run queries on the data lakehouse but not on the Cassandra database and Hive data warehouse.
- D. It can run queries on the Cassandra database and the Hive data warehouse but not on the data lakehouse.
Correct Answer: A 🗳️
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What is one benefit of NVIDIA NIM in the HPE Private Cloud AI architecture?
- A. It enables integration between open-source frameworks, such as Kubeflow, and HPE AI Essentials.
- B. It provides NVLink bridges for accelerating distributed training.
- C. It provides optimized inferencing container images.
- D. It automates cleanup of idle workloads using GPUs.
Correct Answer: C 🗳️
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You are creating a proposal for HPE ProLiant DL servers to act as VMware ESXi hosts.
How does a customer requirement to support Fault Tolerance (FT) affect your plan?
- A. You must ensure that the servers' adapters are RoCEv2 capable.
- B. You must ensure that the servers' processors are compatible with SMP-FT.
- C. You must ensure that the servers have sufficient memory to reserve 20% for FT.
- D. You must ensure that the servers' storage controllers are compatible with SMP-FT.
Correct Answer: B 🗳️
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