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A company will be replacing the external storage array that is currently providing storage to the vSphere environment. The architect must design a storage architecture for existing and future workloads. Company policy required storage separation of workloads by departments.
Which design decision should the architect make to satisfy the requirement and scale for additional departments?
The company policy requires storage separation of workloads by departments. To meet this requirement, the architect should design the storage architecture to create a dedicated storage volume for each department. This approach allows for logical separation of each department's data, ensuring that workloads from one department are isolated from the others.
Creating new storage volumes for new departments provides scalability. As new departments are added, new volumes can be provisioned without affecting the existing volumes or requiring reconfiguration of the existing department's storage.
An architect is responsible for extending the hosting design for a customer. The customer has a mission-critical 3-node application which is load balanced in an active/active/passive configuration. The application administrator requests that the virtual infrastructure team be responsible for maintaining platform level availability. An organizational policy exists to mandate the highest possible availability for mission-critical applications.
Based on the resource requirements, the architect has made the following design decision:
The target vSphere cluster contains three VMware ESXi host servers
A combination of which additional four physical design decisions should the architect make to maximize availability of the application? (Choose four.)
The solution will create a VM-Host Affinity rule that specifies that workloads must run on hosts in a group.
Creating a VM-Host Affinity rule ensures that specific workloads are restricted to certain hosts, which can be useful to avoid placing critical applications on hosts that may not meet their availability requirements.
The solution will enable vSphere High Availability (HA) with restart priority set to 'Highest' for the application virtual machines.
Enabling vSphere HA ensures that virtual machines are automatically restarted on other hosts in the event of a host failure. Setting the restart priority to 'Highest' for mission-critical VMs ensures that these VMs will have the highest priority for restart if any issues arise.
The solution will enable vSphere Fault Tolerance with vSphere High Availability (HA) virtual machine component failure enabled.
Enabling vSphere Fault Tolerance (FT) ensures that the application VMs are fully protected by creating a live shadow VM that runs in lockstep with the primary VM. In the event of a host failure, the shadow VM will take over instantly, providing continuous availability for the application.
The solution will create a virtual machine DRS group that contains all of the critical application workloads.
Creating a virtual machine DRS (Distributed Resource Scheduler) group for critical workloads ensures that these VMs are placed and migrated to the optimal hosts based on the cluster's resource requirements, improving availability and performance.
An architect is designing a vSphere-based private cloud solution to support the following customer requirements:
The solution should support running 5,000 concurrent production compute workloads across the primary and secondary sites.
The solution should support running 1,000 development compute workloads within the secondary site.
The solution should support up to 50 management workloads across the primary and secondary site.
The solution must ensure the isolation of virtual infrastructure management operations between management and compute workloads.
The solution must ensure that hosting of any virtual infrastructure management workloads does not impact the amount of capacity available for compute workloads.
The solution must ensure that all production compute workloads are physically isolated from development compute workloads.
The solution must ensure that the operational management of compute workloads in the secondary site is possible in the event of a disaster affecting the primary site.
A combination of which four design decisions should the architect make to support the requirements? (Choose four.)
VMware vCenter instance in each management domain for the virtual infrastructure management of management workloads:
The customer requires isolation between management and compute workloads. By deploying vCenter instances in dedicated management domains, the management workloads can be handled separately from production and development compute workloads, ensuring isolation.
VMware vCenter instance in the secondary site management domain for the virtual infrastructure management of production compute workloads:
The secondary site should also have a vCenter instance for the management of production compute workloads. This ensures that operational management of production workloads is still possible even in the event of a disaster affecting the primary site, which aligns with the requirement to ensure the management of compute workloads in the secondary site.
VMware vCenter instance in the primary site management domain for the virtual infrastructure management of production compute workloads:
A vCenter instance in the primary site management domain should handle the management of production compute workloads. The primary site is typically where most production workloads reside, and having the vCenter instance here ensures that management operations can be performed efficiently.
Separate management domain within each site for hosting local management workloads:
To ensure that management operations are isolated and that the management workloads do not affect compute workloads, a separate management domain should be deployed in each site. This ensures that the management functions do not consume compute resources that are intended for production or development workloads.
An architect is responsible for the lifecycle management design for a brownfield vSphere-based solution.
The following information has been provided during initial meetings around the new solution:
Existing heterogeneous server hardware will be used to provide the hosting platform.
The available hardware is:
-- 10 servers that contain 2 x 20-Core Intel Xeon processors and 512GB RAM from Vendor A
-- 10 servers that contain 2 x 24-Core Intel Xeon processors and 768GB RAM from Vendor A
-- 20 servers that contain 2 x 16-Core AMD EPYC processors and 512GB RAM from Vendor B
-- 10 servers that contain 1 x 24-Core AMD EPYC processors and 256GB RAM from Vendor C
All of the hardware is currently listed on the VMware Hardware Compatibility List (HCL).
All existing server hardware has 36months vendor support remaining.
The requirements from the customer are:
REQ001 - The solution must support the hosting of 5,000 workloads across two physical sites.
REQ002 - The solution should minimize the number of clusters.
REQ003 - The solution must ensure that there is no impact to service when completing upgrades.
Given the resource requirements needed for the solution, the architect has calculated that all of the existing servers will be required to provide sufficient resources for the new environment. The Intel-based servers will be deployed to the primary site and the AMD-based servers will be
deployed to the secondary site.
Which four additional design decisions should the architect make to ensure all requirements can be met? (Choose four.)
The solution will use VMware SDDC Manager to perform lifecycle management of the solution.
VMware SDDC Manager provides centralized lifecycle management for a vSphere-based environment, especially in VMware Cloud Foundation. This is crucial for automating and streamlining updates, upgrades, and patches, ensuring that the solution remains operational during lifecycle events and that there is no service impact during these processes.
The solution will ensure each vSphere cluster supports a minimum of N + 1 redundancy.
Ensuring N + 1 redundancy within each cluster will provide high availability and fault tolerance. This means that each cluster will have enough capacity to continue operating even if one host fails, meeting the requirement to avoid service disruption during host failures or maintenance activities.
The solution will use vSphere Lifecycle Manager images to update and upgrade vSphere ESXi hosts in the secondary site.
vSphere Lifecycle Manager (vLCM) images allow for consistent and automated management of ESXi host configurations and upgrades. By using images, the architect ensures that all hosts in the secondary site are aligned with the required configuration for upgrades, thus simplifying the process and minimizing downtime during upgrades.
The solution will use vSphere Lifecycle Manager images to update and upgrade vSphere ESXi hosts in the primary site.
Just like for the secondary site, using vLCM images in the primary site ensures that the Intel-based servers are configured consistently and updated seamlessly. This approach minimizes service disruption and ensures smooth upgrades for all hosts in the primary site.
An architect is designing a new vSphere solution. The customer has stated that the solution will be used to host different types of applications, some of which have special considerations. The customer has provided the following information in relation to the special considerations:
The applications are sensitive to the time it takes for CPUs to be accessible to process instructions
The applications send and receive large amounts of data across the network
The applications are sensitive to the time it takes for the data to be sent and received at the destination
What could the architect include in the design for these considerations?
Data Processing Units (DPUs) are specialized hardware accelerators designed to offload networking and security processing from the CPU, thereby reducing CPU overhead and improving performance, especially in scenarios involving heavy network traffic. DPUs help optimize the time it takes for applications to send and receive large amounts of data, addressing the concern about latency in data transmission.
The vSphere Distributed Services Engine integrates with DPUs to accelerate workloads by offloading network functions and reducing the strain on the CPU. This is particularly beneficial for applications that are sensitive to both CPU availability and network latency.
