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HP Certification
HPE0-V25 Exam
HP.HPE0-V25.v2025-08-06.q101 Dumps

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Question 21

You connect to the Compute Ops Management (CoM) through the GreenLake Cloud Platform dashboard. The server you want to manage is missing. Where should the server be added so it appears in the CoM?

A.Compute Ops Management - Server Groups
B.GreenLake Cloud Platform - Onboard Devices
C.Compute Ops Management - Servers
D.GreenLake Cloud Platform - Manage Subscriptions

Correct Answer: B

* Understanding the Scenario:
You are accessing Compute Ops Management (CoM) through the GreenLake Cloud Platform dashboard.
A specific server is not appearing in the CoM, indicating it needs to be added.
* Steps to Add the Server:
A . Compute Ops Management - Server Groups: This option manages existing groups of servers but does not handle the initial onboarding.
B . GreenLake Cloud Platform - Onboard Devices: This is the process to add new devices (servers) to the GreenLake Cloud Platform, ensuring they appear in the CoM.
C . Compute Ops Management - Servers: Used to manage servers already onboarded to the platform.
D . GreenLake Cloud Platform - Manage Subscriptions: Related to managing service subscriptions rather than onboarding devices.
* Why B is the Correct answer:
Onboarding Process: The server needs to be onboarded to the GreenLake Cloud Platform for it to be visible and manageable in the Compute Ops Management interface.
Correct Procedure: Onboarding devices is the initial step required to integrate new hardware into the platform's management tools.
* Reference:
HPE GreenLake Onboarding Guide: HPE GreenLake Onboarding
Compute Ops Management Documentation: HPE Compute Ops Management

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Question 22

You are considering requirements for a database server.
What is the most important component to employ?

A.File and Print software
B.GPU accelerators
C.Antivirus Software
D.Fault-tolerant memory

Correct Answer: D

According to Database Design Resource, fault-tolerant memory is a type of memory that can detect and correct errors without affecting the performance or availability of the database server1. Fault-tolerant memory can help prevent data corruption and loss, which are critical issues for database servers1.

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Question 23

Drag and Drop Question
Match the correct scaling approach to each strategy.

Correct Answer:

Explanation:
Scale-out: This is a scaling approach that involves adding more servers or nodes to a system to increase its capacity and performance. It is also known as horizontal scaling. It can help distribute the workload across multiple servers and improve availability and fault tolerance. Scale-up: This is a scaling approach that involves adding more resources (such as processors, memory, storage or network) to an existing server or node to increase its capacity and performance. It is also known as vertical scaling. It can help improve the performance of a single server and reduce the complexity of managing multiple servers.

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Question 24

Due to recent ransomware attacks, your customer wants an air-gapped system to archive their 400TB of client data and store it for 10 years. Which product is the most cost-effective solution for their archiving needs?

A.StoreEasy 1660
B.MSL2024
C.MSL6480
D.MSA 2062

Correct Answer: B

MSL2024:
The HPE MSL2024 Tape Library is designed for small to medium-sized businesses that need affordable, reliable data protection and long-term archiving.
It offers scalability and can handle the archiving needs of 400TB of data with the appropriate number of tape cartridges.
Tape storage is an effective method for air-gapped systems because tapes can be physically separated from the network, providing protection against ransomware and other cyber threats.
Reference:
HPE MSL2024 Tape Library

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Question 25

your customer needs to capture, store, manage, and analyze a dataset that exceeds capacity of typical database software tools.
What storage technology should you propose to meet their needs?

A.Block Storage
B.Containers
C.Big Data
D.File Storage

Correct Answer: C

Explanation
According to Simplilearn, big data storage is a new technology that allows you to store large amounts of data that exceed the capacity of typical database software tools1. Big data storage can handle various types of data, such as structured, unstructured, or semi-structured data, and provide fast and scalable access to it1.

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