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HPE0-V25 Exam Questions
- HPE ATP Certifications
- HP Hybrid Cloud V1 Certifications
- Topic 1: Discover a customer’s technical requirements/ Describe and differentiate traditional HPE solutions and offerings
- Topic 2: Perform the physical installation process/ Identify and describe management and administration tools and when to use them
- Topic 3: Architect and design an HPE solution based on customer needs/ Describe and differentiate IT Industry technologies and their use cases
- Topic 4: Configure each solution and subsystem/ Identify and describe troubleshooting tools and their use cases
- Topic 5: Document customer intent and solution design/ Gather and analyze customer business and technical requirements
- Topic 6: Discuss the solution with the customer's IT Staff/ Troubleshoot and repair HPE SMB solution components
- Topic 7: Review and validate a proposed design/ Describe HPE GreenLake offerings and benefits
- Topic 8: Perform Management and Monitoring tasks/ Describe investigative steps and their importance
- Topic 9: Perform changes on a customer's existing solution and/or its subsystems/ Install, configure, and upgrade HPE SMB solutions and their components
Free HP HPE0-V25 Exam Actual Questions
Note: Premium Questions for HPE0-V25 were last updated On Aug. 04, 2025 (see below)
What is the GreenLake as-a-Service "Buffer"?
* Understanding the Concept:
The 'Buffer' in HPE GreenLake refers to additional capacity provided within the as-a-service model.
* Buffer Options:
A . Capacity for Management and Logs: While necessary, this is not specifically referred to as the 'Buffer.'
B . Reserved Capacity for Failure: Critical but not the primary purpose of the 'Buffer' in the GreenLake context.
C . Capacity Available for Consumption: This aligns with the 'Buffer' concept in GreenLake, where extra capacity is pre-installed and can be used as demand increases.
D . Reserved for Upgrades and Updates: Not specifically referred to as the 'Buffer.'
* Why C is the Correct Answer:
On-Demand Availability: The buffer capacity is pre-installed and immediately available, allowing customers to scale quickly without waiting for additional infrastructure to be provisioned.
Flexibility: It ensures that there is always enough capacity to handle unexpected increases in demand.
* Reference:
HPE GreenLake Overview: HPE GreenLake
Understanding HPE GreenLake Buffer Capacity: HPE GreenLake Buffer
Your customer has run out of storage on their Virtual environment.
How does migrating to HPE GreenLake help this customer?
HPE GreenLake for storage is a storage-as-a-service solution that provides a cloud-like experience for on-premises storage. The solution offers:
Workload-optimized data services for file, block, backup, and disaster recovery
A cloud-based management console for simplified operations and provisioning
A consumption-based model that aligns costs with usage
A buffer capacity that is installed but not activated until needed
A pay-per-use billing that only charges for the capacity used above the reserve level
By migrating to HPE GreenLake for storage, the customer can avoid running out of storage on their virtual environment by using the buffer capacity as needed and only paying for what they use. The customer can also benefit from the flexibility, scalability, and performance of the storage services offered by HPE GreenLake.
Your customer needs a server that will support a new Big Data analytics solution. The customer requires parallel processing and a server that will use high core counts and memory capacity.
Which server should you recommend?
* Understanding the Requirements:
The customer needs a server to support a new Big Data analytics solution.
The solution requires parallel processing capabilities.
High core counts and memory capacity are critical requirements.
* Server Options:
DL325 (A): A single-socket server designed for virtualization and I/O intensive workloads. While capable, it might not meet the high core and memory demands for Big Data analytics as effectively as other options.
SY480 (B): A blade server designed for high-density environments, but it might not offer the same level of core and memory capacity as other rack-mounted options for Big Data analytics.
DL385 (C): A dual-socket server optimized for high core counts and memory capacity, making it suitable for Big Data analytics and parallel processing workloads.
DL380 (D): A versatile dual-socket server with a balance of performance and expandability, but the DL385 is specifically designed to maximize core count and memory capacity.
* Why DL385 (C) is the Best Fit:
High Core Count: The DL385 Gen10 Plus server supports AMD EPYC processors, which offer high core counts, ideal for parallel processing required in Big Data analytics.
Memory Capacity: It supports up to 4TB of memory, ensuring the capacity needed for large-scale data processing tasks.
Optimized for Performance: The DL385 is designed for demanding workloads, providing the necessary performance for Big Data analytics.
* Reference:
HPE DL385 Gen10 Plus Server: HPE DL385 Gen10 Plus
Big Data Analytics Solutions: HPE Big Data Solutions
Comparison of HPE Servers: HPE ProLiant Servers
you want to quickly 100k up the list price of an HPE hardware component.
Which pre-saves tool has a Quick Quote function?
This tool has a Quick Quote function that allows you to quickly look up the list price of an HPE hardware component by entering the product number or selecting from a list of products. You can also add multiple products to a quote and export it to a file or email it to yourself or others.
Your customer is running a DL385 server with a large in-memory database in a highly secure environment. They need to ensure that their new solution will protect against attacks on the main memory while maintaining high performance from the servers.
What memory technology should you recommend?
AMD Infinity Guard: AMD Infinity Guard is a suite of advanced security features built into AMD processors, including Secure Memory Encryption (SME) and Secure Encrypted Virtualization (SEV). These technologies help protect against attacks on main memory by encrypting the data and ensuring the security of virtualized environments, while maintaining high performance.
AMD Infinity Guard
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