HPE1-H04 Exam Dumps (V8.02) – Key to Passing the HPE Advanced HPE Edge-to-Cloud Solutions Exam

Come to DumpsBase and choose the latest HPE1-H04 exam dumps (V8.02) for the edge you need to succeed. The Advanced HPE Edge-to-Cloud Solutions HPE1-H04 exam is the requirement for new candidates for HPE Master ASE – Edge-to-Cloud Architect certification. It validates your ability to translate business requirements from a customer into complex, multi-site, or highly-customized integration of HPE solutions considering all available consumption models and hosting locations. DumpsBase’s HPE1-H04 dumps (V8.02) come with 227 practice exam questions and answers to boost your confidence and help you master key concepts essential for the exam. Don’t let the Advanced HPE Edge-to-Cloud Solutions exam stand in the way of your career advancement. With our HPE1-H04 exam dumps, you’ll have the tools and confidence you need to succeed. Begin your preparation now and take the first step towards becoming a certified HP Master ASE!

HPE Advanced HPE Edge-to-Cloud Solutions Exam Dumps – Start with HPE1-H04 Free Dumps

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

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

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

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

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

Which of the following practices would help reduce costs?

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

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

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

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

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

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

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

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

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

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?

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

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

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

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

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

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?

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?

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?

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?

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?

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.

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

Which strategy provides the best business continuity?

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?

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?

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?

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?

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.

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

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

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?

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

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?

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

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?

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

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?

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

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

Which tool is best suited for this task?

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?

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

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?

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?

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?

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?

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.


 

 

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