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HP HPE7-S02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integration with Third-Party Platforms | 15% | - VMware integration - Red Hat OpenShift and Kubernetes integration |
| Troubleshooting HPE Private Cloud AI | 10% | - Performance tuning and optimization - Issue diagnosis and resolution |
| HPE AI Essentials: Data Analytics and Data Science | 15% | - Analytics and machine learning tools - Data pipelines and processing |
| AI Workshops and HPE AI Essentials Platform | 15% | - Platform capabilities and deployment - Customer engagement and assessment |
| HPE ProLiant Gen12 for AI | 20% | - Server architecture and components - GPU integration and configuration - AI-optimized compute design |
| High Performance Computing (HPC) Design and Management | 10% | - Management and monitoring - Architecture and scaling |
| NVIDIA AI Enterprise and Model Serving | 10% | - Software deployment and management - Model serving architecture and optimization |
| Solution Optimization and Security | 5% | - Efficiency and resilience - Security best practices |
HP Advanced HPE Compute Integrator Solutions Written Sample Questions:
1. HPE Private Cloud AI Users want to run interactive Spark applications from notebook servers running on HPE AI Essentials.
What should you do?
A) Configure the Spark Operator framework from HPE AI Essentials Tools & Frameworks; enable interactive access.
B) Ask users to select the image with "spark" in the name when they run a notebook server.
C) Create a custom notebook image that supports magic spark commands.
D) Make sure that Livy is installed from the HPE AI Essentials Administration settings for Tools & Frameworks.
2. You are helping a customer troubleshoot performance issues on an HPE ProLiant DL server acting as a VMware ESXi host.
You have used the esxtop command, and the output is shown below. (In this output, the details for many VMs have been omitted; however, other VMs have similar stats to the ones that are shown.)
Based on this output, what should you explain?
A) The host needs more memory, or some VMs need to be moved to other hosts.
B) The performance issues derive from the storage backend, which might require a controller upgrade.
C) The performance issues derive from the storage network, which needs higher bandwidth.
D) The host needs processors with more cores, or some VMs need to be moved to other hosts.
3. 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?
A) Log into the Keycloak interface using the credentials stored in the HPE AI Essentials ezaddon-system namespace. Upload the certificate, private key, and CA certificate files in the "ua" realm.
B) Use the HPE Private Cloud AI interface to access the VM that hosts the HPE AI Essentials UI. Install the certificate, private key, and CA certificate on that VM.
C) Create a CertificateIssuer that references the CA certificate in the HPE AI Essential cert-manager namespace. Then create an ingress-cert certificate based on the provided certificate and private key in the istio-system namespace.
D) Delete the current "ingress-cert" certificate and secret in the HPE AI Essentials istio-system namespace.Add a new "ingress-cert" secret in this namespace referencing the provided files.
4. An HPE Private Cloud AI customer has a model deployed with HPE Machine Learning Inference Software (MLIS). You have helped the customer further fine-tune that model. Now the customer would like to test the new model by directing 10% of traffic to it.
What should you do?
A) Migrate the deployment to KServe and use autoscaling to set the 10% value for the new model.
B) Edit the existing deployment and use the advanced options to set up routing rules to the two model versions.
C) Create a second deployment with the new model in MLIS. Use HPE Private Cloud AI's Canal service to set up routing rules to each deployment.
D) Add a new version of the model to the existing deployment as a canary rollout, setting the desired percentages per version.
5. How do workloads running within HPE AI Essentials authenticate each other?
A) Using SVIDs that an Istio proxy helps them obtain from a built-in SPIRE server
B) Using Kubernetes secrets auto-generated by Kyverno mutating admission controllers when workloads spin up
C) Using self-signed certificates generated when HPE installs the solution
D) Using certificates issued by the Istio ingress gateway built into HPE AI Essentials
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: A |
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