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An architect is designing a solution for a customer to meet the following business objectives:
Pass compliance audits
Reuse compute hardware
Grow by 10% per year
Move to a subscription-based consumption model
Which business objective translates as a conceptual model constraint?
This is the business objective that translates to a conceptual model constraint, as it is an external requirement that must be met by the system design, influencing how the architecture should be shaped. Compliance audits often dictate specific standards, security, and operational procedures that must be adhered to, which restricts the design choices in terms of governance and best practices.
An architect is tasked with updating the design of an existing vSphere-based solution for a pharmaceuticals customer. The update will include upgrade to VMware vCenter 8 and VMware vSphere 8 and the creation of a new cluster that will be used for ongoing research projects. The research project that is driving the need for an update includes a number of applications that are latency-sensitive.
The customer has confirmed the following information during the initial workshop:
The customer recently completed a right sizing exercise using VMware Aria Operations that resulted in a number of ESXi hosts becoming available for use.
Each of the VMware ESXi host servers is configured with:
-- 2 x 20-core Intel Xeon CPU sockets
-- 1024GB RAM divided evenly between sockets
There is no additional budget for purchasing hardware.
After confirming the existing hardware is still listed on the VMware Hardware Compatibility List (HCL), the architect makes the following design decisions with regard to the workload design:
The solution will support a maximum of 20 combined cores and sockets per virtual machine.
The solution will support a maximum of 512GB RAM per virtual machine.
What should the architect document as justification for these design decisions?
NUMA (Non-Uniform Memory Access) is a system architecture in which a multiprocessor system is divided into multiple memory nodes. Each NUMA node typically has its own local memory that is faster to access than remote memory from other nodes.
In this case, each ESXi host has two CPU sockets (each with 20 cores) and 1024 GB of RAM divided evenly between the two sockets, meaning there are two NUMA nodes in each host.
By limiting the virtual machine to a maximum of 20 cores and sockets per virtual machine, and 512 GB of RAM, this ensures that each virtual machine will fit within a single NUMA node, preventing the virtual machine from crossing NUMA node boundaries. This design helps maintain better memory access performance and avoids potential performance degradation that can occur when a VM accesses memory across NUMA nodes.
What are two valid use cases for VMware Cloud Foundation remote clusters? (Choose two.)
Enable vSphere with Tanzu on a cluster deployed at a remote location.
VMware Cloud Foundation remote clusters can be deployed to extend the functionality of vSphere with Tanzu to remote locations. This allows for containerized workloads to be managed and orchestrated using the same tools as the primary environment, providing consistent management of Tanzu clusters across multiple sites.
Provide resources for virtual machines at an edge location.
Remote clusters can be deployed at edge locations to provide computing resources for workloads that need to run close to the data source. This use case is particularly useful for applications that require low latency or need to process data locally before sending it to the central cloud infrastructure.
An architect is tasked with creating a design for a vSphere-based solution.
Reviewing requirements with the security team, the architect makes the following design decision:
ESXi hosts in the environment will enable shell sandbox for SSH connections and the local ESXi shell
What is an implication of the design decision to enable shell sandboxing?
When the shell sandbox is enabled on ESXi hosts, it restricts the execution of commands within the shell to ensure that only authorized or safe commands are allowed. This provides a level of isolation that limits the potential for accidental or malicious commands to be run in the shell, enhancing security while still providing necessary administrative access.
An architect is designing a new vSphere-based solution for a customer.
During a requirement gathering workshop, the following information is provided:
The solution must have a primary and secondary site.
The solution must support a maximum of 1,000 concurrent workloads.
The profile of the workloads are as follows:
- Production Workloads
-- 300 x Small: 1 vCPU, 2GB RAM
-- 400 x Medium: 2 vCPU, 6GB RAM
-- 100 x Large: 4 vCPU, 8GB RAM
- Development Workloads
-- 200 x Small: 1 vCPU, 2GB RAM
The corporate security policy states that, during normal operations, production workloads must be physically segregated from development workloads.
All production workloads are split evenly across the primary and secondary site.
All development workloads run only within the secondary site.
In the event of a disaster affecting workloads in the primary site, the secondary site must be capable of running all production and development workloads.
The vCPU to physical core ratio should be a maximum of 10:1 for production workloads and 20:1 for development workloads.
The solution should provide a minimum of N + 1 resiliency at each component level.
The target physical host hardware platform has already been defined by the company's hardware standards and therefore each host has the following configuration:
-- 2 x 24 physical cores
-- 768GB RAM
-- 2 x 100GB SSD drives
-- 6 x 10GbE network cards
What is the minimum number of hosts required to meet the requirements?
1. Production Workloads:
Total vCPUs required for production:
Total production vCPUs = 300 + 800 + 400 = 1,500 vCPUs
2. Development Workloads:
Total vCPUs required for development:
3. Workload Distribution:
4. vCPU to Physical Core Ratio:
5. Hosts Configuration:
6. Host Calculation:
Production Workloads (750 vCPUs per site):
Development Workloads (200 vCPUs):
7. Resiliency:
8. Total Hosts:
Total hosts required = 4 (primary production) + 4 (secondary production) + 1 (secondary development) + 2 (N + 1) = 12 hosts.
