Free VMware 2V0-13.25 Practice Exam with Questions & Answers

VCF Automation (Aria Automation) supports multi-tenancy with separate AD integration:

B: Each tenant must use their own AD instance, aligning with independence across business units.

C: Create a tenant per business unit, ensuring isolation and dedicated resource allocation.

D (projects per business unit) could work in a single-tenant scenario but doesn’t address multi-AD separation.

A/E force consolidation into corporate AD or single projects, violating independence requirements.

Conceptual model items are categorized as requirements, assumptions, risks, and constraints:

A is a clear requirement, aligned with the business objective of continuous uptime and availability.

B is a valid risk, as the availability of the external internet provider impacts the user experience.

F is an assumption, implying that budget will not be a limitation in achieving the desired level of performance.

Items like C are too technically specific for the conceptual layer. D directly contradicts the business objective, and E relates more to operational constraints rather than high-level design goals.

A single VCF instance with dedicated Workload Domains per tenant strikes the balance between operational efficiency and isolation. It reduces lifecycle tasks since only one management domain must be maintained, while each tenant having a dedicated workload domain ensures isolation of compute resources. This meets all three stated requirements effectively: lifecycle simplicity, minimal overhead, and tenant-specific compute separation.

The overall private cloud SLA is 99.9%, but Platinum applications require 99.99%, which exceeds the infrastructure SLA. VMware design methodology states:

If an application’s SLA is higher than the infrastructure SLA, then the application itself must provide the additional resilience (e.g., clustering, active-active deployment, or application-level HA).

Options A and B reduce flexibility or impose unnecessary complexity.

Option D (Proactive HA) improves resiliency but cannot guarantee 99.99%, since Proactive HA still depends on underlying infrastructure SLA.

Therefore, the only valid recommendation is that Platinum workloads must implement resilience at the application layer.

D: Setting UserVars.SuppressShellWarning = 0 ensures warnings are shown when shell access is used, improving auditability and compliance.

E: Using certificates signed by a trusted military Root CA aligns with security compliance standards for certificate trust and chain of custody.

Options A and C are operational best practices, but not military hardening. B is about operations automation, not compliance-level hardening.

According to the VMware Cloud Foundation 9.0.4 Architecture and Design Guide, vSphere Pods (which support VMware Kubernetes Service or VKS clusters) use three types of storage: ephemeral VMDKs, persistent volume VMDKs, and container image VMDKs.

The document explicitly states:

> “A vSphere Pod requires ephemeral storage to store such Kubernetes objects as logs, emptyDir volumes, and ConfigMaps during its operations. This ephemeral, or transient, storage lasts as long as the pod continues to exist.”

Ephemeral storage is non-persistent by design and is deleted once the pod lifecycle ends. It provides temporary space for data that doesn’t need to persist beyond the pod’s lifespan, such as application logs, temporary caches, or transient compute data. This aligns with Kubernetes’ ephemeral storage model integrated into vSphere infrastructure.

Persistent workloads, by contrast, utilize storage policies and vSphere CNS-backed persistent volumes. Therefore, ephemeral storage is the correct type for non-persistent pod data.

References (VMware Cloud Foundation documents):

VMware Cloud Foundation 9.0.4 — “Storage Policies for a Supervisor” (p. 5632–5633)

VMware Cloud Foundation 9.0.4 — “vSphere Pod Storage Types: Ephemeral, Persistent, and Container Image VMDKs.”

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The requirement ensures data protection, secure access, encryption, auditing, and regulatory compliance—fundamental principles in cybersecurity. These attributes fall squarely within the design quality of Security, which concerns protecting confidentiality, integrity, and compliance. PCI-DSS compliance is about implementing security policies, encryption, access controls, monitoring, and auditing—all aspects of the Security design quality in VMware frameworks.

VCF Operations offers different deployment models based on scale and availability requirements:

Simple Model → Recommended for minimal footprint and greenfield deployments, where the organization wants to start small and expand later.

High Availability Model → Larger environments requiring immediate redundancy and scale.

Advanced / Standard Models → Targeted for more complex architectures with multi-site or advanced collection needs.

Since the customer’s goal is minimal footprint with future scalability, the Simple Model is the correct choice.

VMware Cloud Foundation scales using workload domains (WLDs). Each WLD provides its own vCenter Server, NSX Manager, and lifecycle independence through SDDC Manager.

By using multiple WLDs for each department, the architecture supports independent scaling, policy separation, and lifecycle management.

Option A or C restricts flexibility as all tenants would share a single WLD, leading to lifecycle constraints and “noisy neighbor” issues.

Option D contradicts best practices: multiple departments should not share a single cluster inside a WLD when separation and lifecycle flexibility are required.

This design ensures seamless addition of new workload domains as departments and applications grow.

In VMware Cloud Foundation 9.0, vSphere Lifecycle Manager (vLCM) with composite images is the recommended method for managing host lifecycle. However, when using hardware of different generations, it's not advisable to use a single composite image across clusters with hardware inconsistencies due to potential compatibility mismatches with firmware and drivers.

By using separate vLCM composite images for each cluster (i.e., management and workload), the architect ensures that each cluster's image is optimized for its specific hardware generation, reducing the risk of driver/firmware issues during updates or drift remediation.

This design aligns with the principle of cluster-level lifecycle independence, especially important when working with a mix of hardware generations.