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An architect is holding a design workshop with a customer for a new solution. The customer states that the new solution needs to provide the following capabilities:
Automated deployment and lifecycle management of the vSphere platform
Self-Service deployment of virtual machines and other objects from a central catalog
Monitoring, logging and analytic tooling to provide visibility and troubleshooting of the whole solution
Support deployment via infrastructure-as-code methods for the additional management components
The customer also requests that the solution be as cost-effective as possible while still delivering a fast time to value for the organization.
Which design approach should the architect recommend to meet these requirements?
See the explanation below.
The customer has outlined the following requirements:
Automated deployment and lifecycle management of the vSphere platform: This requires a solution that provides automated provisioning, management, and updates. VMware Cloud Foundation (VCF) is an integrated platform that provides automation for the lifecycle of the vSphere platform, including updates and patch management.
Self-Service deployment of virtual machines and other objects from a central catalog: VMware Cloud Foundation includes tools like vRealize Automation (part of VCF) that enable self-service provisioning of virtual machines and other resources. Additionally, VCF provides centralized management for provisioning and orchestration.
Monitoring, logging, and analytic tooling for visibility and troubleshooting: VMware Cloud Foundation integrates with vRealize Operations and vRealize Log Insight, which provides visibility, monitoring, and logging capabilities for the entire solution. These tools help in analytics and troubleshooting across the entire infrastructure.
Support deployment via infrastructure-as-code methods for additional management components: VMware Validated Solutions (such as vRealize Automation or vRealize Orchestrator) provide infrastructure-as-code capabilities, ensuring that the solution can be deployed in a consistent, repeatable manner, automating deployments of not just vSphere but also additional management components.
Cost-effectiveness with a fast time to value: VMware Cloud Foundation offers an integrated solution that is pre-configured and validated, which speeds up deployment and reduces operational complexity. By using VMware Validated Solutions for additional management components, the customer can leverage existing, tested solutions that are optimized for use with VCF, ensuring cost-effectiveness while meeting requirements.
An architect will be updating an existing vSphere data center design.
The following information has been provided:
The new design must carry over existing VLANs for workloads.
The networking for storage must not share the data path with workload traffic.
The new design must be able to add additional VLANS.
The new design must reduce management overhead.
The new replacement servers have two 100GB network cards.
Which design will meet the requirements for existing workload networks and allow scaling of additional networks?
See the explanation below.
The customer's requirements include the following:
Carry over existing VLANs for workloads: This can be easily achieved with a vSphere distributed switch (VDS), as it supports the configuration of VLANs and ensures that they can be applied to multiple ESXi hosts across the data center.
Networking for storage must not share the data path with workload traffic: By using aggregated uplinks in the VDS configuration, the architect can easily separate workload traffic and storage traffic by using different uplinks or VLANs. Aggregated uplinks ensure that there is sufficient bandwidth for both workloads and storage, while keeping them logically separated in terms of traffic management.
Add additional VLANs: A VDS supports the dynamic addition of VLANs. New VLANs can be added and managed centrally, reducing the complexity and management overhead when scaling the network.
Reduce management overhead: The use of a single VDS significantly reduces management complexity compared to managing multiple vSphere standard switches (VSS). With VDS, network configuration and management are centralized and simplified across all ESXi hosts.
Given that the new replacement servers have two 100 GB network cards, the aggregated uplinks in a VDS configuration will provide the required network capacity while ensuring that traffic is properly segmented and scalable.
What is an example of an availability design quality?
See the explanation below.
Availability design quality refers to the capacity of a system or infrastructure to remain operational, minimizing downtime, and ensuring continuous service delivery, especially in the event of a failure. The concept of N + 1 redundancy ensures that if one component fails (such as a host or a power supply), there is always an additional, spare component available to take over the workload, maintaining the system's availability.
N + 1 redundancy in a vSphere cluster means that the cluster has enough resources to tolerate the failure of one host without affecting the availability of the workloads. This setup provides high availability and resilience in the event of a host failure.
During a workshop for a design project, the following information is shared:
Develop and maintain strong relationships with key stakeholders and partners to promote collaboration.
Maintain high standards of quality and professionalism in all aspects of the project.
Build a strong foundation for future projects, including cloud infrastructures.
Ensure project timelines and milestones are met by effectively managing resources and priorities.
Which of these would be classified as a business outcome of the project?
See the explanation below.
A business outcome refers to a result or impact that directly contributes to the strategic goals of the organization, typically focusing on long-term objectives or future benefits. In this case, building a strong foundation for future projects, including cloud infrastructures, aligns with the business goal of positioning the organization for future success and scalability. This outcome is about preparing the organization for the future, which is a key business-driven result.
An architect is documenting the design for a new multi-site vSphere solution. The customer has informed the architect that the workloads hosted on the solution are managed by application teams, who must perform a number of steps to return the application to service following a failover of the workloads to the secondary site. These steps are defined as the Work Recovery Time (WRT). The customer has provided the architect with the following information about the workloads:
Critical workloads have a WRT of 12hours
Production workloads have a WRT of 24hours
Development workloads have a WRT of 24hours
All workloads have an RPO of 4hours
Critical workloads have an RTO of 1hour
Production workloads have an RTO of 12hours
Development workloads have an RTO of 24hours
The customer has also confirmed that the Disaster Recovery solution will not begin the recovery of the development workloads until all critical and production workloads have been recovered at the secondary site.
What would the architect document as the maximum tolerable downtime (MTD) for each type of workload in the design?
See the explanation below.
vSphere Lifecycle Manager (vLCM) is used to manage ESXi host configurations and software versions in a consistent and streamlined manner. In this case, the architect needs to account for the heterogeneous hardware across two sites (Intel and AMD-based servers).
Since Intel and AMD processors are incompatible for remediation with a single vSphere Lifecycle Manager image, the different processor architectures should be grouped by site (not across sites). Within each site, vLCM can manage a single image per processor architecture, ensuring that each site's hosts with compatible processors are remediated consistently. Intel-based servers will be managed with one image and AMD-based servers with another image, but they can be managed in separate sites.
This approach avoids the issue where heterogeneous hardware with different processor types would need separate images. By keeping them within the same site, the architecture simplifies the lifecycle management and meets the requirement for minimizing clusters and ensuring service availability during upgrades.
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