HP HPE0-V25 Exam Dumps & Practice Test Questions

Question 1:

A client is seeking to enhance the performance of their HPE ProLiant DL380 Gen10 servers by increasing the number of active processor cores operating at higher clock speeds. They are considering implementing Core Boosting to achieve this. 

What should you inform them about the compatibility of Core Boosting with their system?

A. It is only supported on ProLiant DL Gen11 servers
B. It is a software solution and has performance limitations
C. It is only supported on certain Intel processors
D. It is an AMD technology so it is unavailable to them

Correct Answer: C

Explanation:

Core Boosting is a performance-enhancing feature found in select Intel processors that dynamically increases the clock speed of individual cores, especially during peak processing demands. This technology is particularly useful in scenarios where applications benefit from higher frequency on a few cores rather than parallelization across many. It operates by monitoring available thermal and power headroom and opportunistically raising clock speeds when conditions permit.

In the case of HPE ProLiant DL380 Gen10 servers, these systems typically utilize Intel Xeon Scalable processors, which are compatible with Intel’s performance-enhancing technologies like Intel Turbo Boost and Intel Thermal Velocity Boost. These technologies embody the concept of Core Boosting and are capable of increasing core speeds beyond their base frequencies for improved responsiveness and throughput—provided the processor model supports them.

However, not all Intel processors have these features. Only certain models in the Xeon and Core families are equipped with the necessary capabilities to support Core Boosting. This makes option C the accurate choice, as it highlights the need for specific Intel CPUs that include these technologies.

Now, let’s address the incorrect options:

• Option A is incorrect because Core Boosting is not restricted to the ProLiant DL Gen11 series. Although Gen11 servers may feature newer processor models with enhanced boosting capabilities, the Gen10 servers can also support this feature—as long as they are equipped with compatible processors.

• Option B is misleading. Core Boosting is not primarily a software feature. It is a hardware-level technology embedded within the processor itself. While system firmware or BIOS may allow some tuning or enablement of boosting behavior, the performance uplift comes from the processor's own capabilities, not from any software-based mechanism.

• Option D falsely claims that Core Boosting is an AMD-only technology. While AMD does provide a similar feature called Precision Boost, the term "Core Boosting" as applied in this context refers specifically to Intel's implementation, such as Turbo Boost. Therefore, the customer’s ability to leverage Core Boosting depends on having the correct Intel processor model—not on whether it’s an AMD or Intel system.

To summarize, the customer should verify that their DL380 Gen10 servers are configured with Intel processors that support Turbo Boost or similar Intel-based Core Boosting features. This will allow them to take full advantage of higher core speeds for better performance.

Question 2:

A customer is planning to apply firmware updates to several HPE ProLiant MicroServer Gen10 Plus systems. Which tool should they use to carry out these firmware updates efficiently?

A. HPE Composer
B. HPE Data Services Cloud Console
C. HPE iLO 5
D. HPE GreenLake Central

Correct Answer: C

Explanation:

When managing firmware updates for HPE ProLiant MicroServer Gen10 Plus systems, HPE Integrated Lights-Out 5 (iLO 5) is the most suitable tool. iLO 5 is a dedicated management interface built into HPE servers, designed for secure remote server administration, monitoring, and maintenance.

Using HPE iLO 5, administrators can remotely update system firmware, BIOS, RAID controllers, NICs, and other components without needing local access to the physical server. This is especially useful when managing multiple servers in different locations, reducing downtime and simplifying IT operations.

iLO 5 features a user-friendly web interface and supports advanced tasks like:

• Automated firmware updates using Intelligent Provisioning or HPE Service Pack for ProLiant (SPP).

• Viewing and managing firmware baselines across servers.

• Remote virtual media mounting to apply updates securely and efficiently.

The alternative options are not suitable for this task:

Option A refers to HPE Composer, a component of HPE Synergy used in composable infrastructure environments. It manages compute, storage, and networking elements within Synergy frames but has no role in standalone MicroServer firmware updates.

Option B, the HPE Data Services Cloud Console, is used for managing data services in cloud environments and integrating with HPE GreenLake. It's focused on data operations, not individual server maintenance or firmware upgrades.

Option D, HPE GreenLake Central, provides an interface for managing cloud consumption, cost analytics, and hybrid cloud operations. It’s not intended for device-level firmware tasks like those required on ProLiant MicroServers.

In summary, HPE iLO 5 is the optimal tool for updating firmware on HPE ProLiant MicroServer Gen10 Plus servers. It offers robust capabilities for remote updates, monitoring, and server control, ensuring IT administrators can maintain server integrity, performance, and security across distributed infrastructures.

Question 3:

A company utilizes HPE InfoSight across its IT environment, including both HPE ProLiant and MSA systems. Which device among the following supports automatic support case generation through HPE InfoSight?

A. ProLiant DL120 G7
B. MSA2062
C. MSA2040
D. ProLiant DL560 Gen10

Correct Answer: B

Explanation:

HPE InfoSight is a powerful AI-based management and support platform that enhances the reliability and efficiency of IT operations by predicting and preventing infrastructure issues. A key feature is automatic case creation, where the system identifies a hardware fault or critical condition and proactively opens a support case with HPE, often before the end-user is even aware of the issue. This functionality significantly reduces downtime and accelerates the resolution process.

The MSA2062 is a modern entry-level storage system designed with built-in integration for HPE InfoSight. This model actively monitors system health, performance metrics, and potential points of failure. When a problem is detected, InfoSight automatically creates a support case, notifies HPE, and provides diagnostic information to streamline remediation. This automation minimizes manual intervention, allowing IT teams to focus on core business needs rather than system troubleshooting.

In contrast, the other options do not fully support automatic case creation via InfoSight:

• A. ProLiant DL120 G7 is an older-generation server and lacks the deep integration with modern InfoSight features. While basic telemetry might be available, it doesn’t support automatic case generation.

• C. MSA2040 is also part of an older storage series. Although partially supported by InfoSight for monitoring, it does not offer automated case creation due to legacy hardware limitations.

• D. ProLiant DL560 Gen10, while compatible with InfoSight for performance insights and health status, focuses more on compute infrastructure. The automatic case creation feature is more robust and commonly associated with storage platforms like the MSA2062 rather than ProLiant servers.

In summary, MSA2062 offers the most comprehensive InfoSight integration, including the critical ability to open support cases automatically. This feature reduces resolution times and improves operational resilience, making it an ideal solution for environments seeking predictive, hands-free infrastructure support.

Question 4:

An organization operates several remote branch offices, each equipped with a single HPE ProLiant server for localized IT services. They now want a centralized, cloud-based solution to manage and monitor these servers efficiently. 

Which tool should you demonstrate to fulfill this requirement?

A. HPE CloudPhysics
B. HPE GreenLake Compute Ops Management
C. HPE GreenLake Data Services Cloud Console
D. HPE InfoSight

Correct Answer: B

Explanation:

For businesses managing servers in distributed or remote environments, centralized visibility and lifecycle management are critical to ensure consistency, compliance, and uptime. HPE GreenLake Compute Ops Management (COM) is purpose-built for this kind of scenario. It is a cloud-native platform that simplifies and unifies the management of compute infrastructure—specifically HPE ProLiant servers—from one centralized interface.

This tool enables administrators to monitor health, performance, firmware compliance, and operational status across remote deployments without requiring physical access. It supports automated lifecycle tasks such as firmware updates, server provisioning, and policy enforcement. These capabilities help IT teams standardize and automate operations while ensuring that all servers, regardless of location, remain secure and up to date.

Here’s why the other options are less suitable:

• A. HPE CloudPhysics is designed more for virtualized environments and focuses on predictive analytics, capacity planning, and optimization of virtual infrastructure. While insightful, it lacks the hands-on server management capabilities needed for this use case.

• C. HPE GreenLake Data Services Cloud Console is targeted at data services and storage management, such as provisioning and monitoring HPE Alletra storage. It is not built for comprehensive compute or server lifecycle management.

• D. HPE InfoSight, while excellent for predictive analytics and performance insights, is primarily used for storage systems like Nimble and MSA arrays. Though it does support ProLiant monitoring to some extent, it does not provide the full scope of lifecycle and operational management offered by Compute Ops Management.

In conclusion, HPE GreenLake Compute Ops Management is the ideal tool to demonstrate for this scenario. It meets the organization's need to manage multiple ProLiant servers remotely and centrally using a secure, cloud-based platform. This capability improves IT efficiency, ensures compliance, and allows proactive management, all without deploying on-site resources at every branch office.

Question 5:

A customer is facing a problem related to routing at the network layer (Layer 3) and is seeking help to troubleshoot the issue. 

Which command would be most appropriate for identifying where the routing is failing?

A. show LLDP neighbor-info
B. traceroute
C. show startup-config
D. config-router

Correct Answer: B

Explanation:

Troubleshooting network routing issues requires insight into how data packets travel through the network from one device to another. A typical Layer 3 problem indicates that there’s an issue with routing between different subnets or network segments—usually managed by routers. One of the most powerful tools to identify where the packet flow is disrupted is the traceroute command.

The traceroute utility reveals the path packets take across an IP network to reach a destination. It sends packets with increasing Time-to-Live (TTL) values, which expire one hop at a time. Each expired TTL causes the router at that hop to return an ICMP “Time Exceeded” message. By collecting these responses, traceroute builds a list of all the routers the packet encounters before reaching its target. This process is particularly useful in identifying where a packet is dropped, delayed, or rerouted, enabling administrators to detect where routing issues or misconfigurations occur.

The command helps diagnose:

• Routing loops or broken paths in the network

• Faulty or misconfigured routers

• Unexpected changes in the routing path

This makes traceroute highly effective for isolating faults in complex Layer 3 routing topologies.

Let’s review the incorrect choices:

• A. show LLDP neighbor-info: This command displays information about neighboring devices using the Link Layer Discovery Protocol (LLDP). However, LLDP only operates on Layer 2 and does not provide insights into Layer 3 routing paths or issues.

• C. show startup-config: This shows the configuration stored in the device’s non-volatile memory, which loads on reboot. While this may include routing configurations, it does not show real-time routing behavior or packet flow, making it less useful for active troubleshooting.

• D. config-router: This command enters the routing configuration mode where you can modify routing protocol parameters. It is used for setup and not diagnosis, and doesn't offer any visibility into routing issues already occurring.

In summary, when investigating a Layer 3 routing issue, traceroute is the most suitable diagnostic command. It provides critical visibility into the packet’s journey, allowing for quick identification of where and why communication is breaking down across the network.

Question 6:

You are advising a client on how the HPE GreenLake platform can help improve their organization's agility. Which two features of the platform best illustrate this benefit?

A. Customers can control costs since advanced metering allows them to only pay for what is used.
B. The HPE GreenLake platform is always managed by HPE, reducing the need for internal IT staff.
C. HPE actively monitors, manages, and deploys capacity ahead of demand so the customer can scale with ease within an installed buffer.
D. HPE GreenLake provides infinite scale to the customer at no additional cost with its scale-up policy.
E. HPE GreenLake provides a larger hardware portfolio than traditional HPE hardware solutions.

Correct Answers: A and C

Explanation:

The HPE GreenLake platform is designed to deliver cloud-like experiences for on-premises infrastructure, enabling organizations to respond faster to changing needs. It helps businesses become more agile through consumption-based pricing and proactive resource management, which allows them to scale without delay and align IT costs with business growth.

Why Option A is correct:
HPE GreenLake uses advanced metering technology to track usage in real-time, enabling a pay-per-use model. Traditional IT procurement involves forecasting and pre-purchasing hardware, often leading to overprovisioning. In contrast, GreenLake ensures organizations only pay for what they use, reducing capital expenditures and improving cost predictability. This supports financial agility, especially for businesses dealing with fluctuating workloads, as it avoids the risk of overspending on unused resources. The consumption model also makes budgeting and cost control easier and more transparent.

Why Option C is correct:
GreenLake also enhances operational agility by offering proactive capacity management. HPE monitors current usage trends and uses predictive analytics to anticipate future demand. Based on these insights, they ensure additional capacity is installed and ready to go before it’s actually needed. This built-in buffer enables businesses to scale instantly, without waiting for hardware provisioning or undergoing delays due to approval cycles. It allows IT teams to focus on innovation rather than infrastructure management, ensuring continuous service availability and performance even during usage spikes.

Why the other options are incorrect:

• B. While HPE provides support and optional managed services, customers retain significant control. It is not fully hands-off or entirely managed by HPE, so this is a partial truth and not a guaranteed benefit.

• D. Although GreenLake offers scalable infrastructure, there is no such thing as infinite scale at no cost. Additional usage can trigger new hardware deployment or pricing tiers.

• E. The hardware options in GreenLake are equivalent to traditional HPE offerings. The difference lies in the delivery model—not an expanded hardware catalog.

Overall, HPE GreenLake enables agility through flexible, usage-based pricing and intelligent capacity planning, giving customers the responsiveness and control needed to adapt quickly to business demands.

Question 7:

Which two main advantages do businesses gain when running workloads on the HPE GreenLake platform?

A. Pay for resources consumed
B. Foundation Care support
C. Capacity on demand licensing model
D. Capacity ahead of demand
E. Single-pane management interface with OneView

Correct Answer: A, D

Explanation:

HPE GreenLake provides a hybrid IT solution that merges the benefits of on-premises infrastructure with the scalability and flexibility of the cloud. As an as-a-service offering, it is tailored to help organizations gain better control over costs, improve resource utilization, and scale operations seamlessly. Two standout features that deliver significant value are the ability to pay for actual usage and the capability to provide capacity ahead of demand.

Why A is correct – Pay for resources consumed:
One of the defining features of HPE GreenLake is its consumption-based pricing model. Instead of purchasing hardware and over-provisioning resources upfront, businesses are billed based on what they actually use. This pay-as-you-go model introduces a high degree of cost efficiency, as it eliminates capital expenditures associated with underutilized infrastructure. This is especially advantageous for companies that experience fluctuating workloads and need financial flexibility. Since charges are linked to real-time usage, businesses can reduce waste and better align IT spending with actual demand, improving their overall budget management.

Why D is correct – Capacity ahead of demand:
Another crucial benefit is HPE GreenLake’s ability to anticipate future needs by installing extra capacity in advance. The platform leverages advanced analytics to monitor usage trends and forecast demand. By maintaining buffer capacity on-site, it ensures that when demand increases, the infrastructure is already in place to handle it. This avoids the delays typically associated with ordering, configuring, and deploying new resources manually. It also reduces the risk of performance bottlenecks or outages during periods of sudden growth.

Why the other options are incorrect:
B. Foundation Care support is a traditional support service available across HPE’s offerings and is not a core feature that distinguishes GreenLake from other solutions.
C. Capacity on demand licensing model is a misleading description. While GreenLake provides flexible resource availability, the model is not based on traditional software licensing but on real-time infrastructure consumption.
E. Single-pane management interface with OneView refers to a useful tool within HPE’s ecosystem, but it is not the primary value proposition of the GreenLake platform. GreenLake includes its own management console that aggregates visibility and operational insights beyond what OneView alone provides.

By deploying on HPE GreenLake, businesses gain both cost-efficiency through usage-based billing and proactive scalability, making it an ideal solution for dynamic and growth-focused IT environments.

Question 8:

A customer is running low on storage capacity in their virtual infrastructure. How can transitioning to HPE GreenLake help resolve this challenge?

A. By setting a fixed reserve level to guarantee available storage
B. By using pre-installed buffer storage and only paying for what is used
C. By triggering automatic storage orders at 90% utilization
D. By letting the customer over-provision their storage

Correct Answer: B

Explanation:

HPE GreenLake offers a modern and highly adaptable IT consumption model that allows businesses to operate on a cloud-like infrastructure while keeping data and applications on-premises. When organizations face storage shortages—especially in fast-growing or unpredictable environments like virtualization—HPE GreenLake provides a powerful solution by offering pre-installed buffer capacity and a pay-per-use model. This eliminates the need for over-provisioning while ensuring storage is available when needed.

Why B is correct – Using buffer capacity with pay-per-use billing:
GreenLake enables businesses to install extra storage capacity in advance, known as a buffer, which remains on-site and ready for use. This buffer ensures that, even during unexpected surges in demand or workload spikes, the customer will not face performance issues or downtime due to storage limitations. The critical advantage is that this additional storage is not billed until it is actively used. This means the organization can scale instantly when needed while only paying for actual consumption, not the total installed capacity.

This model is particularly well-suited to virtual environments, where resource demands can fluctuate rapidly. GreenLake’s approach gives businesses financial agility and operational continuity by delivering the performance they need without the financial burden of owning and maintaining unused infrastructure.

Why the other options are incorrect:
A. Implementing a fixed reserve level does not reflect how GreenLake works. The platform offers dynamic, forecast-driven scaling, not rigid capacity thresholds.
C. GreenLake does not automatically place storage orders at predefined usage percentages like 90%. Instead, it uses predictive analytics to anticipate needs and ensure that extra capacity is already installed before it is required.
D. Allowing customers to over-provision is the opposite of what GreenLake is designed to do. Over-provisioning leads to inefficiencies and unnecessary costs, which GreenLake actively avoids by aligning capacity with actual demand.

In summary, HPE GreenLake’s buffer-based approach to storage allows customers to eliminate the guesswork in provisioning and avoid both overbuying and running short. This leads to better performance, reduced capital expenditure, and seamless scaling—exactly what virtual environments require to remain resilient and efficient.

Question 9:

A client has reported that their current database infrastructure is unable to keep up with the rapidly growing volume and complexity of their data, which now includes social media streams, logs, and IoT sensor inputs. They need a solution that can efficiently capture, store, manage, and analyze these massive datasets. 

Which of the following technologies should you recommend?

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

Correct Answer: C

Explanation:

The scenario describes a client who is overwhelmed by large, fast-growing, and diverse datasets that traditional databases cannot effectively process or scale with. This is a textbook case for the application of Big Data technologies.

Big Data refers to a collection of tools and technologies designed specifically to handle datasets that are too large, too fast, or too complex for conventional relational databases. These systems address the four Vs of Big Data:

• Volume – Extremely large amounts of data.

• Velocity – The speed at which new data is generated and must be processed.

• Variety – Data coming in many forms (structured, semi-structured, unstructured).

• Veracity – The uncertainty or inconsistencies in data quality.

Big Data platforms like Hadoop and Apache Spark use distributed computing and storage models. For example, Hadoop’s HDFS (Hadoop Distributed File System) breaks data into blocks and distributes them across multiple nodes. Apache Spark processes data in parallel, significantly increasing speed for large-scale analytics.

Additionally, NoSQL databases like MongoDB and Cassandra are optimized to store and query unstructured data across distributed architectures. These tools are not only scalable but also resilient and suitable for real-time analytics, a growing requirement for modern enterprises.

Now, let’s look at why the other options are not suitable:

• A. Block Storage: While reliable for storing large files or databases, block storage operates at a low level. It lacks the built-in scalability and parallel processing capabilities needed for Big Data applications.

• B. Containers: Containers are excellent for packaging and running software, but they’re not a storage or data processing solution. You can run Big Data tools in containers, but containers themselves don’t solve the data volume or complexity problem.

• D. File Storage: Network-attached storage (NAS) systems work well for managing files but struggle with the performance and scaling needs of high-throughput analytical tasks across vast datasets.

In conclusion, Big Data technologies are purpose-built to ingest, store, manage, and analyze complex and enormous data sets efficiently. They offer distributed storage, high scalability, and parallel processing—precisely what this client needs. Therefore, option C is the most appropriate choice.

Question 10:

An enterprise IT administrator is tasked with modernizing the organization's infrastructure by integrating on-premises resources with a public cloud. The goal is to manage all resources using a single platform, improve scalability, and maintain control over sensitive workloads. 

Which HPE solution should the administrator recommend to achieve these objectives?

A. HPE SimpliVity
B. HPE GreenLake
C. HPE OneView
D. HPE InfoSight

Correct Answer: B

Explanation:

The scenario describes a company looking to modernize its infrastructure by blending on-premises resources with public cloud capabilities. The enterprise wants to scale effectively, retain control over sensitive data, and manage everything centrally—a classic case for hybrid cloud transformation.

HPE GreenLake is specifically designed to address such needs. It provides a cloud-like experience on-premises while allowing integration with public cloud services. With GreenLake, organizations can deploy workloads in their own data centers or at the edge, yet consume IT resources as-a-service, just like in the public cloud.

Key benefits of HPE GreenLake include:

• Unified Management: GreenLake Central enables visibility and control across cloud and on-premises environments using a single dashboard.

• Scalability: Organizations can scale infrastructure up or down based on demand, thanks to the pay-per-use model.

• Security and Compliance: Sensitive workloads stay on-premises, helping meet regulatory and data governance requirements.

• Faster Deployment: Pre-configured workloads and consumption-based billing simplify IT operations.

Let’s briefly address why the other options are not ideal:

• A. HPE SimpliVity is a hyper-converged infrastructure solution. It simplifies virtualization and data protection but doesn’t offer a full hybrid cloud platform or consumption-based pricing.

• C. HPE OneView is a powerful management tool for automating infrastructure tasks, but it is not a hybrid cloud solution. It lacks consumption-based billing and deep public cloud integration.

• D. HPE InfoSight provides AI-driven analytics for infrastructure management and failure prediction but doesn’t support cloud integration or as-a-service delivery.

In conclusion, for organizations seeking a hybrid cloud model that offers flexibility, central management, and cloud economics with on-premises control, HPE GreenLake is the most suitable choice, making option B the correct answer.