VMware 2V0-72.22 Spring Professional Develop: Spring Core, Boot, Data, Security, and Testing

VMware 2V0-72.22 is the Spring Professional Develop exam associated with the Spring Certified Professional 2024 path. Broadcom's official exam guide describes a 60-item, 130-minute proctored exam covering Spring Core, Java configuration, properties and profiles, component scanning, Spring Boot, data access, REST, AOP, Actuator, security, and the Spring testing framework. The minimally qualified candidate is expected to have practical programming experience rather than only conceptual familiarity.

The current status deserves careful wording. Broadcom still hosts the official exam and certification documents, and certification-community posts show candidates completing 2V0-72.22 into 2026. At the same time, Spring is not prominently listed in Broadcom's main 2026 VMware Cloud Foundation certification catalog. Candidates should therefore verify live scheduling and certification requirements before purchasing an exam attempt instead of assuming the 2024 path is unchanged.

For the technical material, start with Spring certification topics and treat the exam as a test of how framework features cooperate in a real application. The difference between knowing an annotation and knowing Spring is the ability to predict object creation, dependency resolution, configuration, persistence, web behavior, security, and test outcomes.

Spring Core is fundamentally about object creation and dependency relationships

The container creates and manages application objects, resolves dependencies, applies configuration, and controls lifecycle behavior. Java configuration, component scanning, bean definitions, scopes, qualifiers, and dependency injection are different mechanisms for expressing those relationships. Exam questions become easier when you reason from the object graph rather than memorize annotation names.

Build small examples with multiple implementations of one interface, explicit bean definitions, scanned components, different scopes, and profile-dependent configuration. Then predict which bean will be selected and why. Deliberately create ambiguous dependencies and circular relationships so that error messages become familiar rather than surprising.

Properties and profiles separate deployment context from application code

Applications often need different database endpoints, feature flags, credentials, logging settings, and integrations across development, test, and production. Externalized configuration lets the same codebase operate in those environments without hard-coding environment details. Profiles can select groups of beans or settings based on context.

Study precedence and failure behavior. If the same property can come from several sources, know which value is effective. If a required value is absent, decide whether the application should fail fast or use a safe default. Configuration mistakes can be operationally serious, especially when they silently point an application at the wrong external service.

Spring Boot trades configuration effort for conventions that still need to be understood

Auto-configuration, starters, embedded servers, executable packaging, Actuator, and configuration properties make Spring applications faster to assemble. They do not remove the need to understand what is being configured. When Boot creates an unexpected bean or chooses an unsuitable default, developers need to know how conditions, classpath contents, properties, and explicit configuration influence the outcome.

Use a minimal project and inspect what changes when a starter is added or removed. Review the condition evaluation output, bean list, environment properties, and Actuator endpoints. Then package and run the application outside the IDE. The Spring Boot deployment workflow helps connect application configuration with containerized runtime behavior.

Data access questions reward transaction and boundary reasoning

Repository abstractions can make persistence code concise, but reliable applications still depend on transaction boundaries, query behavior, entity state, connection management, and failure handling. A method that works on a small dataset may perform badly when it triggers unnecessary queries or retrieves far more data than needed.

Practice tracing a business operation through service and repository layers. Identify where a transaction begins, what happens when an exception occurs, which data must commit atomically, and how read operations differ from writes. For tests, distinguish a repository test that validates persistence mapping from a service test that validates business behavior.

REST design requires more than mapping a URL to a method

A web endpoint has request mapping, input binding, validation, serialization, status codes, exception behavior, authentication, authorization, and observability concerns. A controller should express the HTTP contract while business rules remain in services that can be tested independently.

Build endpoints that return success, validation errors, not-found results, and controlled server errors. Check how exceptions are converted into responses and whether sensitive implementation details leak to clients. Use consistent status semantics and validate untrusted input before it reaches deeper layers.

AOP is valuable when the cross-cutting concern is actually cross-cutting

Aspect-oriented programming can apply behavior such as logging, metrics, transaction semantics, or policy around selected method executions. The exam expects candidates to recognize pointcuts, advice, join points, and proxy behavior, but practical preparation should also consider when an aspect makes the system harder to understand.

Create one simple aspect and observe which calls are intercepted. Pay attention to proxy boundaries and self-invocation because behavior can differ from what a developer expects by reading the target method alone. Cross-cutting code should remain observable and narrow enough that debugging does not become guesswork.

Actuator and application security are operational features, not decorations

Actuator exposes health and management information that can support production operations, while Spring Security controls authentication and authorization around application resources. Management endpoints can themselves expose sensitive data, so operational convenience must be balanced with access control and network exposure.

Define which health information is safe for unauthenticated infrastructure checks and which management details require privileged access. For application security, reason about request matching, authenticated versus anonymous flows, roles or authorities, and failure responses. The broader web application security principles help connect framework configuration with actual risk.

Testing should prove behavior at the smallest useful boundary

Spring testing is easier when the test boundary is chosen intentionally. A unit test can validate pure business logic quickly. A slice test can focus on web or persistence behavior. A broader integration test can verify multiple Spring components and externalized configuration. Loading the entire application context for every test creates slower feedback without always increasing confidence.

Use the software testing pyramid to decide which layer should prove each requirement. The integration testing discipline is particularly useful for database, messaging, security, and web boundaries where mocks can hide configuration errors.

Preparation should revolve around executable examples

Reading APIs is necessary, but this exam rewards the ability to predict framework behavior. Build a compact application that uses configuration classes, profiles, validation, a REST controller, a service layer, persistence, security, Actuator, and tests. Then make one change at a time and observe what Spring does.

Create failure cases as deliberately as success cases: missing properties, ambiguous beans, invalid input, unauthorized requests, failed transactions, unavailable databases, and broken test assumptions. Keep notes on the exception type, log evidence, and correction. This develops the debugging judgment that real Spring work requires.

Finally, verify the live certification requirements before scheduling. The 2V0-72.22 blueprint remains a strong Spring learning framework, but registration, training prerequisites, and certification naming can evolve independently of the Java and Spring concepts themselves. Preserve the technical learning even when the credential path changes.

Transaction problems are especially useful study cases because they cross framework boundaries. Build a service that performs two related database writes and deliberately fail the second operation. Observe whether the first write rolls back, then change exception handling or transaction placement and compare the result. This makes propagation and rollback behavior concrete and reinforces why transaction boundaries belong around business operations rather than arbitrary repository calls.

Security tests should prove both allowed and denied behavior. Verify that anonymous requests cannot reach protected operations, authenticated users cannot exceed their authorities, invalid credentials fail safely, CSRF or session behavior matches the application type, and error responses do not leak sensitive details. These tests connect Spring Security configuration to the actual HTTP contract instead of treating security as a list of annotations.

Actuator is also a good way to practice operational thinking. Add health and metrics endpoints, secure them appropriately, and observe how the application reports database or dependency failures. Then decide which signals belong in platform health checks and which are too detailed for unauthenticated exposure. Developers who can explain how an application will be monitored and diagnosed are better prepared than those who stop once it compiles.

For exam review, keep a small “predict before running” notebook. Before starting the application or a test, write what bean will be created, which profile or property will win, what transaction outcome you expect, which HTTP status should be returned, and which security rule will apply. Run the code and compare. Every incorrect prediction reveals a framework rule worth revisiting and turns passive reading into active reasoning.

Dependency management belongs in practical preparation as well. A Spring application inherits behavior from the framework, Boot, libraries, drivers, security components, and transitive dependencies. Review how version changes affect compatibility and how a vulnerable library can enter the application indirectly. Keep builds reproducible, understand the dependency tree, and test framework upgrades against representative integration points rather than assuming compilation proves runtime compatibility.

A final code-review exercise is useful: inspect a small Spring service for hidden framework coupling, broad transactions, weak validation, insecure endpoint exposure, unnecessary context loading in tests, and configuration that belongs outside the codebase. Explain each issue in terms of runtime behavior and maintainability rather than style preference. This reinforces the exam objective that framework knowledge should lead to predictable application behavior.