Anthropic CCA-F Exam Dumps, Practice Test Questions

Following a previously approved plan helps control drift, but the question does not establish that a valid cross-module migration plan exists. If a critical caller is missing, strict compliance with an incomplete plan can still break production. First inventory affected call sites and define staged compatibility tests for the new API.

An Explore-style read-only subagent can gather evidence about the repository, but its summary is an input to—not a replacement for—the migration and test plan. A large incompatible library upgrade needs decisions about call-site order and observable compatibility. Capture the findings in a staged change strategy with regression gates.

Patching the first compiler error may reveal a localized break, but fifty affected modules can contain runtime call sites, integration paths or unsupported semantics that compilation misses. Fixing one reported failure without mapping dependencies gives no guarantee of consistent migration. Inventory the affected callers and verify them together.

Immediate edit-and-test is efficient for a small, well-specified change, but the scenario explicitly spans fifty modules with incompatible contracts. Targeted tests may miss consumers outside the initial edit. Establish the migration scope and staged verification before executing broad code changes.

The same identifier can denote unrelated locals and parameters in other scopes. A repository-wide textual replacement risks altering behavior outside the requested function and defeats the requirement for a deliberately narrow change.

A naming policy may help a large cross-project cleanup, but planning an architectural program cannot validate one already specified local rename. The substantial planning cost is unjustified by the known scope and tests.

Risk assessment can inform a change, but the user has asked for an actual localized edit. Without the rename and test run, the requirement remains unmet despite any discussion of hypothetical side effects.

Moving files first may appear to accelerate a refactor, but the developer lacks the boundary information needed to avoid breaking imports, data flow or deployment ownership. It transforms a discovery problem into potentially destructive experimentation.

Runtime failures might reveal some unknown coupling, but production is the wrong place to discover basic ownership. Without an initial dependency and migration map, this approach cannot control compatibility or rollback exposure.

A specialist can help investigate a large codebase, but asking it to rewrite ownership declarations before observing existing contracts introduces speculative changes. The missing prerequisite is evidence about callers, runtime modules and dependency edges.

Listing migration options and dependencies is useful preparation, but the case involves competing data-consistency tradeoffs and no design choice has been authorized. Beginning implementation of one proposal without comparing guarantees can lock in an unsuitable migration path. The plan must compare alternatives and record the chosen design before changes.

A production migration decision offers three viable approaches with different data consistency risks. A planning UX is not a substitute for application-enforced authorization. Architectural alternatives require an explicit decision about correctness and reversibility. The option covers enforce non-mutating tool permissions independently of the mode label, but the actual correction requires the system to compare tradeoffs in plan mode and obtain a chosen design before coding. That difference determines why this choice does not resolve the incident.

A production migration decision offers three viable approaches with different data consistency risks. Missing business constraints make direct migration an unjustified guess. The important technical distinction is that architectural alternatives require an explicit decision about correctness and reversibility. This action would identify missing invariants and plan safe transition rather than invent a schema instead of compare tradeoffs in plan mode and obtain a chosen design before coding, so the original fault would persist.

Line count is not a measure of consequence. A one-line endpoint change can move regulated log data across a forbidden processing boundary. The user asked for analysis, not deployment, and authorization is missing. Direct editing would cross both the user-requested tool scope and the unresolved privacy decision.

Running a deployment before approval turns an investigation into an unauthorized transfer experiment. If real logs begin flowing abroad, the data-handling violation may occur before the failure output can be inspected. Use configuration and policy reads to assess expected impact rather than learning by changing production state.

Turning logging off may reduce exposure to one destination but creates a different audit and operational-control gap. No facts establish that removing the field is approved or that dependent services function without it. The correct immediate task is read-only impact and policy analysis followed by an authorized decision.

Discovering missing invariants and planning a safe transition are helpful early steps, but the stated defect is the absence of a rollback route for a service-mesh change. A broadly scoped investigation may still finish without a usable revert artifact or concrete stop criteria. Make rollback and observability explicit entry conditions.

Plan mode can inspect the current topology and produce a proposed diff without changing production, but a proposal is not itself a rollback route. The team must know how to recover after applying the change and what evidence will trigger it. Include tested rollback artifacts in the deployment plan.

An exact command with a targeted test can be appropriate for a small reversible edit, but service-mesh policy can affect traffic for many workloads. Without restoring the prior state, a failed change may linger after the test. Delay execution until staged rollout and rollback conditions are established.

Impact review and negative tests can uncover failure modes, yet they do not guarantee an operational recovery mechanism once the mesh has been modified. The case explicitly lacks a rollback procedure. Preserve known-good manifests and verify monitoring and revert execution before the switch.

Executing a guessed patch without understanding call sites may change a shared interface or bypass a dependency. The repository is unfamiliar, so the known-edit shortcut is premature.

Prioritizing a supplied error message can help only when a diagnostic exists. The scenario gives a broad behavior request, not an error location; tracing the relevant call graph is the required discovery step.

Read-only tool permission is an important authorization constraint, but the customer does want a code defect fixed. Permanent non-mutating access would prevent the authorized repair and does not identify affected callers.

A dependency plan can make a review thoughtful, but neither its structure nor a planning interface revokes shell credentials. A deployment command could still run if the execution host allows it.

Comparing design trade-offs helps choose architecture, not the required authorization rule for a review-only job. A deployment-capable shell remains dangerous regardless of the discussion quality.

Negative tests help evaluate proposed code changes but do not prevent a permitted shell from deploying while a reviewer is analyzing. The failure occurs at the tool authorization boundary.

Impact review is prudent but insufficient if an executor is free to ignore the selected architecture. The case requires a check against the approved design, not only generic negative testing.

Skipping planning would discard the architecture decision already made. The failure is unapproved drift during implementation, which skipping the plan would worsen.

Determining schema invariants is important for a database migration, but the case states that an architecture was already chosen. Replanning a hypothetical schema does not enforce the selected design.

Plan-only exploration can avoid accidental edits when a user requests understanding, but launching a full agent for a known compiler diagnostic is still unnecessary. Start from the exact error message and request only the directly referenced source context if required.

Call-graph analysis is helpful for defects that arise across modules, but a known compiler error often names a file, line and type mismatch. Exploring the entire graph before inspecting the reported error wastes context and delays a straightforward explanation.

An Explore subagent can summarize an unfamiliar repository, but the developer supplied the error text. Starting multiple filesystem agents duplicates work and risks producing irrelevant findings. The first step is to interpret that diagnostic and ask for one necessary file excerpt only if ambiguous.

Planning safe transitions is important for schema migrations, but a compiler message can often be explained directly without any migration. Do not infer a missing invariant or large architectural change before reading the exact diagnostic the user provided.

Direct code execution and testing may help after the developer explicitly asks for a fix, but they asked only for an explanation. Editing or running commands before answering crosses the task boundary. Clarify the message using provided context, then request minimal supporting code if needed.

An agreed execution plan helps avoid unauthorized deviations, but a one-line authorization change can still be materially risky even when it matches the plan. Negative tests and impact review are needed because line count does not correlate with permission consequences.

Read-only permissions are useful when the user requested planning, but the issue here is authorization logic within an actual patch. Blocking mutations forever would not evaluate whether the new access policy permits or denies the right principals.

Executing a scoped edit and one happy-path test may show intended users still have access, but it can miss a newly permitted attacker role. Authorization code requires denial tests as well as accepted-flow tests. Challenge the policy boundary, not just formatting or compilation.

Executable contracts improve reliability when a plan changes API behavior, but the immediate requirement is security verification of an authorization change. A general contract test may not exercise prohibited principals. Add risk-focused negative cases for the exact role and resource combinations.