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2V0-31-23: Understanding the Aria Automation 8.10 Professional Blueprint

The VMware Aria Automation 8.10 Professional (2V0-31-23) exam was the professional assessment behind the VCP-CMA 2024 Cloud Management and Automation certification generation. Broadcom’s official 2024 guide described a 64-item, 130-minute proctored exam with a scaled passing score of 300 and expected roughly six to twelve months of hands-on Aria Automation experience.

In 2026, this exam belongs to a certification track that is no longer presented among Broadcom’s current VMware career certifications. Broadcom’s current catalog emphasizes VCF, VVF, legacy DCV/NV, and application networking/security, while a 2025 certification-community discussion explicitly noted that VCP-CMA and Cloud Operations were approaching retirement. That makes 2V0-31-23 valuable as a product-knowledge blueprint, but it should not be presented as the obvious current certification target.

Aria Automation itself introduced a set of concepts that remain highly relevant to private-cloud operations: cloud accounts, projects, zones, image and flavor mappings, network and storage profiles, cloud templates, tags and constraints, self-service, governance, extensibility, and Orchestrator workflows. Those ideas help explain the automation model now incorporated into the broader VCF platform.

Aria Automation separates infrastructure definitions from what users are allowed to consume

A cloud account connects Aria Automation to a target such as vCenter or a public cloud. Cloud zones define usable resource regions within those accounts. Projects group users, infrastructure, and policy so that teams receive only the resources and deployment choices appropriate to their work.

This layered model is important because self-service should not mean unrestricted access. Administrators define the supply side—compute, images, networks, storage, and regions—then projects and policies shape how consumers can use it. A request can fail even when capacity exists if the project is not entitled to the resource or if the constraints cannot be satisfied.

For exam preparation, practice tracing a deployment from request to project to cloud zone to the final infrastructure target. That makes many placement and governance questions easier to reason about.

Image, flavor, network, and storage profiles turn heterogeneous clouds into reusable abstractions

Organizations rarely want every template to contain provider-specific configuration. Image mappings let a logical image name resolve to the appropriate machine image in each cloud. Flavor mappings can do the same for sizing. Network and storage profiles describe the placement choices available in a region or account.

These abstractions make a cloud template more portable, but they also create another troubleshooting layer. If a logical mapping is missing for the selected zone, a deployment may fail even though the underlying infrastructure is healthy. If a network profile does not match the placement decision, the machine may be created without the expected connectivity or the request may be rejected.

The skill is to understand both the abstraction and what it resolves to. Automation cannot eliminate provider differences; it manages them through controlled mappings.

Tags and constraints are the language of placement intent

Aria Automation uses tags to describe capabilities and requirements. A resource may advertise a capability such as location, environment, tier, or storage class, while a cloud template can express constraints that require or prefer matching resources. This lets policy influence placement without hard-coding a specific target.

Hard constraints are useful when a workload must satisfy a rule, but an overly restrictive combination can produce “no matching placement” failures. Soft constraints provide preference without making deployment impossible. Administrators need to understand how tags exist across projects, zones, networks, storage, and templates so that placement remains predictable.

Good exam preparation includes building small examples and resolving them manually: given these capability tags and these constraints, which zone or profile can satisfy the request?

Cloud templates describe desired deployments, not just virtual machines

Cloud templates use YAML to declare resources and relationships. A template can define machines, networks, disks, load balancers, and configuration inputs while allowing users to request a consistent service repeatedly. The important concept is declarative intent: describe the desired outcome, then let the platform determine how to create it.

Candidates should understand syntax well enough to recognize resource relationships, inputs, properties, constraints, and common deployment patterns, but memorizing large YAML blocks is less useful than understanding what each section changes. When a deployment fails, separate template syntax from placement, provider, network, and policy problems.

Templates are most powerful when combined with version control and reusable standards. That turns automation from a convenience into an infrastructure-delivery discipline.

Service Broker and governance convert automation into an enterprise service

Aria Automation was designed to expose infrastructure and workflows through a self-service catalog while giving administrators control over who can request what. Content sources, catalog items, entitlements, approval or policy behavior, leases, and resource actions all shape the consumer experience.

The operational goal is to reduce manual tickets without losing governance. A well-designed catalog presents approved choices and lifecycle actions; a poorly governed catalog can make it easier to create unmanaged sprawl. Candidates should understand how access and policy interact with the project and deployment model.

This service-oriented approach remains relevant in current private-cloud automation even though the certification label has changed.

Orchestrator and ABX extend the platform when built-in actions are not enough

VMware Aria Automation Orchestrator provides workflow-based extensibility, while Action Based Extensibility can run code in response to lifecycle events. Subscriptions connect events to actions so organizations can integrate IPAM, configuration, ticketing, security, naming, or other enterprise systems into deployment workflows.

Extensibility is powerful because it can enforce organization-specific process, but it also increases failure possibilities. The support engineer must determine whether a problem occurred in the core deployment, an event subscription, an external endpoint, a workflow, or custom code. Timeouts, credentials, payload assumptions, and error handling all matter.

For exam study, focus on why to use each extensibility mechanism and where it runs rather than memorizing every possible integration.

Troubleshooting Aria Automation means following the request through multiple layers

A failed deployment can originate in template syntax, project access, placement, image mapping, network profile, cloud-account connectivity, provider capacity, extensibility, or the target infrastructure. The fastest diagnosis follows the request history and identifies the first layer that could not satisfy its part of the workflow.

Useful evidence includes deployment history, request details, service logs, cloud-account status, resource mappings, and target-platform events. Restarting services without isolating the failure can hide the symptom temporarily while leaving the underlying configuration wrong.

This layered troubleshooting model is a strong bridge into the current VCF automation world because orchestration still depends on healthy identity, policy, networking, storage, and compute beneath it.

Treat 2V0-31-23 as a strong automation syllabus, but verify the current certification path separately

The 2V0-31-24 exam represented a later V2 revision of the same Aria Automation 8.10 professional domain, while Broadcom’s current VMware portfolio now emphasizes VCF-era automation rather than listing VCP-CMA as a current career credential.

Professionals who still operate Aria Automation 8.10 can use the 2V0-31-23 blueprint to organize product learning around infrastructure, templates, governance, extensibility, and troubleshooting. Candidates seeking a current VMware certification should compare those skills with the present VCF program, including the advanced VCF Automation specialization, without assuming that an advanced VCF exam is a one-for-one replacement for the retired professional track.

The durable lesson is that automation skills outlive certification labels. Understand the resource model, policy model, template model, and failure path, then map that knowledge to the platform version your organization actually runs.

SaaS and on-premises deployment models change which integration components matter

Aria Automation 8.10 could be consumed in different deployment models, and that affects connectivity to on-premises infrastructure and extensibility. A SaaS control plane may require cloud proxies or other on-premises components so the service can communicate securely with vCenter, Orchestrator, and enterprise resources that are not directly exposed to the internet.

This architecture is easy to oversimplify in study notes. “SaaS” does not mean every workload or workflow runs in the provider cloud, and “on premises” does not mean there are no cloud services. The administrator needs to identify which component hosts the management function, which component provides connectivity, where workflows execute, and which credentials or certificates protect those connections.

The distinction becomes important when troubleshooting. If the user interface is reachable but on-premises provisioning fails, verify the proxy and endpoint path before assuming the SaaS service itself is down. If an Orchestrator workflow cannot be consumed, verify the Orchestrator integration and the connectivity component responsible for reaching it. If public-cloud provisioning works while vCenter provisioning fails, compare the integration paths instead of treating the issue as global.

This layered architecture also affects security review. Proxies and integration appliances should have only the network access and credentials they need, and outbound connectivity requirements should be understood explicitly. Administrators should know what trust relationship is being created rather than opening broad firewall access to make a lab work.

Although VCP-CMA is no longer the center of Broadcom’s current certification portfolio, this hybrid-control-plane reasoning remains useful. Modern private-cloud automation still depends on secure connectors, well-defined endpoints, scoped credentials, and a clear understanding of where an automation action actually executes.

Hybrid integrations should be tested as dependency chains rather than one large “connection.” Confirm name resolution, outbound access, proxy registration, certificate trust, endpoint credentials, and service authorization independently. This makes failures easier to localize and reduces the pressure to weaken security controls just to restore connectivity.

The same thinking applies when upgrades or certificate changes occur. An integration that worked for months can fail because one end changed trust or authentication behavior. Recording the expected connection path makes those changes much easier to diagnose.

Administrators also need a clear credential model for these integrations. Long-lived shared administrator accounts make labs easy but weaken production security and complicate rotation. Service accounts, scoped permissions, secret management, and documented ownership reduce the blast radius of a compromise and make it easier to rotate credentials without breaking unrelated automation workflows.

Documenting those integration paths also makes team handoffs safer. A diagram that shows proxy placement, endpoint ownership, required ports, identity, and workflow dependencies gives operations and security teams a shared model for diagnosing change without relying on tribal knowledge.

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