Tips To Prepare for HPE1-H04 Advanced HPE Edge-to-Cloud Solutions Exam

HPE1-H04 Advanced HPE Edge-to-Cloud Solutions is a comprehensive exam designed for professionals seeking the prestigious HPE Master ASE Edge-to-Cloud certification. This certification validates expertise in implementing and managing advanced HPE edge-to-cloud solutions. To support candidates in their preparation for the HPE1-H04 exam, Passcert offers a valuable resource in the form of up-to-date Advanced HPE Edge-to-Cloud Solutions HPE1-H04 Dumps. These dumps are meticulously curated to include authentic questions and detailed answers, closely mirroring the actual exam content. By utilizing these Advanced HPE Edge-to-Cloud Solutions HPE1-H04 Dumps, candidates can gain a thorough understanding of the exam format, familiarize themselves with key concepts, and significantly enhance their chances of successfully passing the HPE1-H04 exam on their first attempt.

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

Advanced HPE Edge-to-Cloud Solutions

This exam validates a presales architect's 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. Ideal candidates have at least five years of experience in designing complex solutions for Enterprise customers. They can scope and architect solutions for the full edge-to-cloud service experience, including all of the following HPE technologies: Cloud Services, Compute, Storage, Networking, and Services. Candidates are HPE partners and team members in a presales architect or consulting role who plan and design complex HPE solutions.

Exam Information

Exam ID: HPE1-H04

Exam type: Practical

Exam duration: 4 hours

Exam length: 50 questions

Passing score: 59%

Delivery languages: English, Japanese

Exam Objectives

The Advanced HPE Edge-to-Cloud Solutions practical exam has:

33 DOMC (discrete option multiple choice questions

13 DOMC with lab access questions

4 hands-on/practical tasks.

Describe, differentiate, and apply IT industry trends, standard architectures, technologies, and cloud delivery models. 10%

Identify and position business benefits/value and risks/costs associated with cloud implementations.

Understand complex workloads and their characteristics/differentiators as they relate to optimizing for price, performance, and availability.

Describe, contrast and differentiate compute, storage and network architectures and how to select and optimize for specific customer workloads.

Understand business continuity including environmental factors.

Gather and analyze customer business and technical requirements 20%

Identify key customer business, technical and system requirements and outcomes.

Identify and collect key metrics for existing infrastructure and application performance.

Recommend and position HPE offerings for customer use cases 15%

Position and differentiate the HPE security offerings in the context of a hybrid infrastructure.

Given a customer use case, differentiate and position an HPE GreenLake solution.

Identify and use appropriate information resources and tools .

Describe when to use Traditional HPE models, HPE GreenLake Core models, GLCS models, and hybrid models for each part of a solution.

Differentiate and articulate how HPE offerings provide the customer business value and an advantage in their industry.

Given a customer use case, differentiate, and position a traditional HPE solution.

Given a customer use case, differentiate, and position a hybrid HPE solution.

Architect and design an HPE solution based on customer needs 30%

Given a customer workload/business requirement, select the appropriate delivery model or models.

Given a set of desired business outcomes, design, and architect a traditional HPE solution.

Plan and design a complex HPE GreenLake offering.

Size, review, and validate an HPE GreenLake proposal.

Plan and design a GLPC offering.

Size, review, and validate a proposal for a traditional HPE solution.

Present and demonstrate the solution to the customer and coordinate implementation planning 10%

Present the solution with its business and financial impact on the customer.

Ongoing enhancements (upgrade, migrate, optimize, etc.) 15%

Compare the existing architecture and capabilities to the proposed changes and correlate them to the customer's requirements.

Propose a design that upgrades or expands the solution, factoring in non-technology components to services.

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

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

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

C. Building private data centers to support hybrid cloud solutions.

D. Deploying edge computing resources in all remote offices.

Answer: A

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

A. Increases reliance on capital expenditure.

B. Allows for faster scalability and agility.

C. Reduces the need for compliance with data regulations.

D. Ensures full control over physical hardware.

Answer: B

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

A. Network latency between virtual machines.

B. The physical location of cloud providers' data centers.

C. The number of cloud providers being used.

D. The network provider’s connection to the customer’s LAN.

Answer: A

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

A. A cloud-based CRM platform.

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

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

D. An email service with collaboration features.

Answer: B

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

A. Number of endpoints connected

B. Available storage capacity on file servers

C. CPU utilization of network management servers

D. Bandwidth usage trends over time

Answer: D

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

A. Relying solely on physical servers for better control.

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

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

D. Using a single compute type for all workloads.

Answer: B

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

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

B. By using a single cloud provider to centralize resources.

C. Utilizing low-priority compute resources during peak times.

D. Scaling down services during outages to reduce impact.

Answer: A

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

A. Storing all data on object storage to reduce cost.

B. Utilizing block storage for mission-critical applications.

C. Archiving data in cold storage for fast retrieval.

D. Moving frequently accessed data to offline storage.

Answer: B

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

A. Future scalability and growth potential

B. The number of employees in the IT department

C. The company's annual revenue

D. Availability of dedicated IT infrastructure

Answer: A

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

A. Reduced bandwidth usage by processing data closer to its source.

B. Increased latency for critical applications.

C. Centralized data processing in the cloud.

D. Lower hardware costs by moving all processing to the cloud.

Answer: A