HPE1-H04 Advanced HPE Edge-to-Cloud Solutions Exam Dumps

dumps2025-02-19T09:33:38+08:00

If you are preparing for HPE Master ASE – Edge-to-Cloud Architect certification, you need to pass HPE1-H04 exam successfully. There are 50 questions in real HPE1-H04 exam, and you have 4 hours to answer all the questions. The required passing score for HPE1-H04 exam is 59%. The available languages are English and Japanese. We provide the latest HPE Master ASE – Edge-to-Cloud Architect HPE1-H04 exam dumps, which can make sure you pass the test easily. Free Advanced HPE Edge-to-Cloud Solutions HPE1-H04 exam dumps are available below.

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1. Which of the following best describes the concept of multi-cloud architecture?

Using multiple cloud providers to distribute workloads and avoid vendor lock-in.

Utilizing a single cloud provider for all workloads to simplify management.

Building private data centers to support hybrid cloud solutions.

Deploying edge computing resources in all remote offices.

2. What is a key business benefit of adopting a cloud computing model for IT infrastructure?

Increases reliance on capital expenditure.

Allows for faster scalability and agility.

Reduces the need for compliance with data regulations.

Ensures full control over physical hardware.

3. When optimizing a workload for performance in the cloud, which of the following factors is most critical to consider?

Network latency between virtual machines.

The physical location of cloud providers' data centers.

The number of cloud providers being used.

The network provider’s connection to the customer’s LA

4. Which of the following is an example of an Infrastructure as a Service (IaaS) offering?

A cloud-based CRM platform.

Virtual machines deployed on a cloud provider’s data center.

A cloud-based analytics tool with built-in AI capabilities.

An email service with collaboration features.

5. A company is concerned about the operational costs of a cloud implementation.

Which of the following practices would help reduce costs?

Using reserved instances instead of on-demand instances for predictable workloads.

Deploying all workloads to high-performance instances, regardless of the requirements.

Running workloads 24/7 without considering off-peak hours.

Dedicating all available compute resources to low-priority workloads.

6. In a hybrid cloud architecture, what is the primary advantage of using on-premises infrastructure along with public cloud resources?

Achieving 100% data redundancy.

Eliminating the need for network security.

Leveraging both security of private infrastructure and scalability of public clouds.

Automating all operational tasks through cloud APIs.

7. What is a key consideration when choosing a compute architecture for workloads with unpredictable performance needs?

Relying solely on physical servers for better control.

Using on-demand cloud instances to dynamically scale with workload requirements.

Pre-allocating resources for peak load, even during off-peak hours.

Using a single compute type for all workloads.

8. Which of the following network architectures is ideal for optimizing workloads requiring low-latency communication between distributed nodes?

Star topology.

Ring topology.

Bus topology.

Mesh topology.

9. How can a company ensure business continuity during cloud outages affecting critical workloads?

Implementing a multi-region or multi-cloud strategy to distribute critical workloads.

By using a single cloud provider to centralize resources.

Utilizing low-priority compute resources during peak times.

Scaling down services during outages to reduce impact.

10. What is the best way to optimize cloud storage for applications requiring high throughput and low-latency access to data?

Storing all data on object storage to reduce cost.

Utilizing block storage for mission-critical applications.

Archiving data in cold storage for fast retrieval.

Moving frequently accessed data to offline storage.

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11. Which cloud delivery model allows organizations to build their own services and manage applications while relying on the cloud provider for infrastructure management?

Iaa

Faa

Saa

Paa

12. Which environmental factor should be a primary consideration when designing a disaster recovery strategy for cloud-hosted applications?

Local legislation regarding carbon emissions.

Geographic location of cloud data centers and associated risks (e.g., earthquakes).

Preferred cloud provider’s market share.

Available bandwidth between cloud regions.

13. What is the advantage of using cloud-based disaster recovery (DR) as opposed to traditional on-premises DR solutions?

Cloud-based DR allows faster recovery times without the need for physical infrastructure.

Traditional DR offers more scalability for cloud-native applications.

Cloud-based DR provides greater control over hardware configurations.

Traditional DR eliminates network latency associated with cloud services.

14. When discussing cloud adoption with a potential customer, which of the following best positions the value of cloud from a business perspective?

The cloud increases reliance on fixed, long-term infrastructure contracts.

The cloud provides enhanced flexibility and the ability to scale based on demand, reducing upfront capital expenditure.

Cloud deployment increases physical security risks to data.

The cloud limits future operational capacity expansion.

15. What type of storage architecture would be most suitable for a customer that needs highly durable storage for archival purposes, with access required only a few times a year?

Database-optimized storage.

Block storage on SSD drives.

Object storage in cold storage tiers.

Ephemeral storage with no redundancy.

16. In which scenario would a customer benefit most from a hyper-converged infrastructure (HCI) solution?

When seeking to consolidate compute, storage, and networking into a single system for easier management.

When optimizing for performance by separating compute and storage in different data centers.

When aiming to run high-performance computing workloads.

When deploying large-scale edge computing environments.

17. Which of the following cloud deployment models is typically used to host sensitive workloads while maintaining a direct connection to private infrastructure?

Private cloud.

Public cloud.

Hybrid cloud.

Community cloud.

18. When optimizing workloads for both price and performance, what is one key factor to consider?

Deploying all workloads on the highest performance instances, regardless of cost.

Reducing the number of virtual machines to lower costs, even if performance suffers.

Choosing a single cloud provider to simplify billing.

Using a combination of on-demand and spot instances to balance cost and performance.

19. Which of the following is a risk associated with a single-cloud strategy?

Increased flexibility in workload deployment.

Vendor lock-in, reducing negotiation leverage and flexibility.

Lower operational costs.

Improved redundancy across different regions.

20. What is the primary benefit of using edge computing in a cloud-based infrastructure?

Reduced bandwidth usage by processing data closer to its source.

Increased latency for critical applications.

Centralized data processing in the cloud.

Lower hardware costs by moving all processing to the cloud.

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21. You are tasked with configuring a multi-cloud architecture for a customer who wants to balance workloads between their private data center and a public cloud provider.

Which configuration step should you perform first in a hybrid cloud setup?

Define workload migration policies.

Configure backup and disaster recovery solutions for both cloud environments.

Configure autoscaling for the public cloud environment.

Set up secure VPN or dedicated connections between the private and public cloud.

22. Task: You are provided access to a hybrid cloud lab environment. Your task is to create an environment where workloads can be dynamically distributed between on-premises infrastructure and a public cloud provider (AWS). Set up a VPN connection between the two environments and demonstrate a secure migration of a test workload from the on-premises server to AWS.

23. When configuring a high-performance cloud environment for a customer, you need to optimize storage for a database workload. The customer wants low-latency access to frequently accessed data.

What is the best storage configuration?

Use standard HDD storage for all database files.

Configure a combination of SSD and HDD, with SSD handling frequently accessed data.

Use SSD for all storage, regardless of access patterns.

Implement object storage to manage frequently accessed data.

24. Task: In a cloud lab environment, configure a high-performance storage solution for a SQL database. Use SSD storage for the database logs and frequently accessed tables while using HDD storage for backup files. Verify the read/write performance before and after optimization.

25. In setting up a multi-site business continuity solution, what is the key consideration when configuring data replication between two cloud regions?

Ensuring the two regions are in different geographic locations for redundancy.

Setting up file encryption during replication.

Using the same hardware for both regions to ensure compatibility.

Setting up a disaster recovery failover within the same region for latency reduction.

26. Task: In a cloud lab, configure a cross-region replication setup between two cloud regions to ensure business continuity. Set up real-time replication for an important workload and demonstrate failover from the primary to the secondary region.

27. You are configuring a cloud infrastructure for a client who needs high availability for their web application.

Which approach would you take to optimize availability across multiple cloud zones?

Deploy the web application in a single zone with an automatic scaling policy.

Deploy the web application across multiple zones with a load balancer.

Configure a backup instance of the application in a separate zone and manually failover when needed.

Set up a local replication within the same zone to reduce latency.

28. Task: In a cloud lab, set up a web application across multiple availability zones to ensure high availability. Configure a load balancer to distribute traffic between zones and demonstrate automatic failover in the event one zone becomes unavailable.

29. When selecting a cloud service model for a customer with a complex workload requiring full control over infrastructure and the ability to scale resources dynamically, which option would you recommend?

SaaS (Software as a Service)

PaaS (Platform as a Service)

IaaS (Infrastructure as a Service)

FaaS (Function as a Service)

30. Task: In a lab environment, deploy a virtual machine using IaaS on a public cloud platform. Configure the virtual machine to automatically scale based on CPU utilization, and validate that the auto-scaling feature works by simulating increased CPU load.

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31. You need to ensure a cloud-based application remains operational during routine maintenance windows.

Which strategy provides the best business continuity?

Replicate the application to a backup instance in the same zone.

Shut down the application during maintenance to prevent data corruption.

Deploy a second instance of the application in a different zone and use a load balancer to direct traffic.

Deploy the application in a single-zone configuration to reduce costs.

32. Task: In a cloud lab, configure a business continuity solution for a cloud-based application. Deploy the application in multiple zones, set up load balancing, and verify that the application continues running during a simulated maintenance event.

33. What is the primary advantage of using containers over virtual machines for deploying cloud applications?

Containers provide better hardware compatibility.

Containers offer faster startup times and lower resource overhead.

Containers allow for the installation of more operating systems on a single server.

Containers offer more robust isolation than virtual machines.

34. Task: Set up a containerized environment for a web application in a cloud lab. Deploy the application using Docker containers, configure load balancing, and validate performance against a virtual machine-based deployment.

35. You are tasked with deploying a storage solution for a customer that requires low-latency access to large volumes of unstructured data.

What would be the best storage option?

Object storage with SSD caching for frequently accessed data.

Block storage for all data types.

A distributed file system with standard HDD storage.

Archive storage for all unstructured data.

36. Task: Configure object storage with SSD caching in a cloud lab environment. Deploy the solution for a dataset that requires frequent access and demonstrate its performance improvement over HDD storage.

37. You are asked to optimize a cloud infrastructure for a business running a heavy analytics workload that requires a balance between performance and cost efficiency.

Which step should you take first to optimize this setup?

Configure all compute instances to use the same instance type for uniformity.

Migrate all workloads to GPU-based instances for better performance.

Evaluate the workload and use reserved instances for consistently high-demand periods.

Increase the network bandwidth for all compute instances.

38. Task: In a lab environment, evaluate a heavy analytics workload and optimize the cost-performance ratio by selecting the appropriate instance types. Demonstrate the effect of using reserved instances for predictable demand.

39. When deploying a multi-tier web application in the cloud, which of the following strategies ensures better network performance and isolation between the application layers?

Place all tiers in the same subnet for simpler management.

Set up each tier on different availability zones for redundancy.

Use a single large subnet and rely on security groups for network isolation.

Isolate each tier in its own subnet and apply network policies between the subnets.

40. Task: Configure a multi-tier web application in a cloud lab, ensuring that each tier (frontend, application, and database) is placed in separate subnets. Apply network policies for secure communication between tiers and demonstrate performance improvements.

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41. Which of the following customer requirements is most critical for designing a cloud-based edge-to-cloud solution?

Future scalability and growth potential

The number of employees in the IT department

The company's annual revenue

Availability of dedicated IT infrastructure

42. During the requirements gathering phase for an HPE edge-to-cloud solution, which metric is most critical when considering network performance?

Server hardware capacity

Average latency and packet loss

Employee turnover rate

Number of virtual machines

43. Task: In a lab environment, gather and analyze the customer's existing cloud usage metrics (CPU usage, storage capacity, and network throughput). Based on these metrics, recommend an optimized infrastructure solution.

44. In the context of gathering customer technical requirements, which tool can be used to analyze network traffic and identify bottlenecks?

HPE InfoSight

Wireshark

HPE GreenLake

VMware vSphere

45. When identifying key customer system requirements, which of the following is essential for designing a disaster recovery plan?

Total data stored

Number of IT personnel

Recovery point objective (RPO)

Cloud provider's market share

46. Task: In a cloud lab environment, configure and validate a backup strategy that meets the customer’s recovery point objective (RPO) and recovery time objective (RTO) requirements.

47. While gathering system metrics for an HPE edge-to-cloud solution, what is the most important network-related data point to collect?

Number of endpoints connected

Available storage capacity on file servers

CPU utilization of network management servers

Bandwidth usage trends over time

48. Which metric is most important when evaluating the performance of a customer’s storage infrastructure?

IOPS (Input/Output Operations Per Second)

Number of connected users

Firewall configuration

Number of servers

49. Task: Configure a cloud-based monitoring system that tracks CPU, memory, and storage usage for a customer’s infrastructure. Produce a report that identifies any resource shortages or potential performance issues.

50. When considering business continuity for an edge-to-cloud solution, which environmental factor must be accounted for?

Employee satisfaction

Power availability and redundancy

Type of cloud platform

The number of VMs in use

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51. What is the best approach to ensure security requirements are met when gathering customer system requirements for an HPE edge-to-cloud solution?

Review the customer’s current firewall rules

Ensure the data is stored in an on-premises data center

Implement multi-factor authentication (MFA) and data encryption

Check the number of servers being used

52. Task: In a lab, configure a security framework for cloud storage that implements multi-factor authentication and encrypts all stored data. Demonstrate that only authorized users can access the data.

53. Which of the following is a key metric when assessing application performance in a hybrid cloud environment?

Storage redundancy

Application response time

Number of users in the IT department

Number of cloud regions

54. When identifying customer business requirements, what factor should be considered first?

Cloud provider’s service level agreement (SLA)

Number of physical servers

Number of employees in the finance department

Budget constraints

55. You are tasked with measuring a customer’s current infrastructure performance.

Which tool is best suited for this task?

HPE InfoSight

Microsoft Word

Google Analytics

HPE Aruba Central

56. Task: Use HPE InfoSight to collect and analyze metrics from a customer’s existing storage infrastructure.

Identify potential performance issues and provide recommendations for improvement.

57. When gathering key metrics for existing infrastructure, what is the most important performance indicator for a virtualized environment?

CPU overcommit ratio

Total square footage of the data

Number of IT staff

Number of printers connected center

58. Which customer business requirement should be identified during the requirements-gathering phase for a cloud solution?

The company’s long-term growth projections

The number of IT support tickets opened

The number of virtual machines (VMs) in use

Employee satisfaction scores

59. Task: Configure a cloud lab environment that scales dynamically based on the customer’s growth projections. Measure and report the impact of scaling on performance and cost.

60. Which of the following metrics is essential for determining whether a customer’s current network infrastructure is suitable for an HPE edge-to-cloud solution?

Average network latency and throughput

Number of employees in the organization

Number of virtual machines (VMs) deployed

Available storage space on cloud servers

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61. You are tasked with configuring an HPE edge-to-cloud solution that collects and processes IoT data from multiple remote sites.

Which tool can be used to monitor and manage IoT data traffic across these sites?

HPE OneView

HPE Aruba Central

Microsoft Power BI

Google Cloud Console

62. Task: Set up an HPE GreenLake solution for a customer that requires continuous monitoring of their cloud usage and cost. Configure the necessary tools and produce a report showing resource utilization.

63. In a lab environment, you are tasked with collecting performance data from a customer's hybrid cloud environment.

Which tool would allow you to analyze application performance across both on-premises and cloud environments?

Google Cloud Storage

Amazon CloudWatch

HPE InfoSight

VMware vSphere

64. Task: In a lab setting, configure a cloud-based storage system using HPE InfoSight to automatically adjust based on storage usage and data growth trends. Validate that the system scales dynamically and optimizes performance.

65. A customer’s cloud system experiences performance degradation during peak hours. You are tasked with gathering metrics to identify the bottleneck.

Which key metric should be collected first?

CPU utilization

Number of user accounts

Total number of files in the storage system

Number of support tickets submitted

66. Task: In a lab, configure HPE GreenLake to manage a multi-cloud environment and integrate usage reporting from both AWS and Microsoft Azure. Analyze the cost and performance metrics from both cloud providers.

67. You are required to configure a data recovery solution for a hybrid cloud deployment.

Which metric is most critical when determining the backup frequency?

Number of virtual machines (VMs)

Number of cloud users

Available storage space

Recovery point objective (RPO)

68. Task: Set up a data recovery solution in a lab environment using HPE GreenLake that meets the customer’s RPO and RTO requirements. Validate the solution by simulating a system failure and recovery.

69. A customer has a multi-site HPE cloud deployment, and they need to ensure business continuity in case of a regional outage.

What is the best solution to meet this requirement?

Configure geo-redundancy across multiple cloud regions

Increase network bandwidth between regions

Implement server-level encryption

Configure manual failover procedures for each region

70. Task: In a lab, configure an HPE GreenLake solution with geo-redundancy for a multi-region deployment. Validate the failover procedure by simulating a regional outage and measuring recovery time.

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71. Which of the following metrics is most important when evaluating network performance in a hybrid cloud environment?

Average network latency

Number of virtual servers deployed

Total amount of storage used

Number of applications hosted on the cloud

72. Task: Configure HPE InfoSight to monitor network performance for a hybrid cloud deployment. Set up alerts for high latency and bandwidth usage.

HPE1-H04 Advanced HPE Edge-to-Cloud Solutions Exam Dumps

HPE1-H04 Advanced HPE Edge-to-Cloud Solutions Exam Dumps

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