McAfee-Secured Website

Exam Code: CCA-F

Exam Name: Claude Certified Architect - Foundations

Certification Provider: Anthropic

100% Anthropic CCA-F Guaranteed Success With Testking Training Materials

Get Real CCA-F Exam Questions & Expert Verified Answers as Experienced on the Real Exam!

134 Questions & Answers with Testing Engine

"Claude Certified Architect - Foundations Exam", also known as CCA-F exam, is a Anthropic certification exam.

Pass your tests with the always up-to-date CCA-F Exam Engine. Your CCA-F training materials keep you at the head of the pack!

Satisfaction Guaranteed

Money Back Guarantee

Testking provides hassle-free money back guarantee with our products. That is because we have 100% trust in the abilities of our professional and experience product team, and our record is a proof of that.

99.6% PASS RATE
Was: $137.49
Now: $124.99

Anthropic CCA-F Practice Test 20

Question 190

A model summarizes a product’s rate limits from a guide published two years ago while newer vendor docs list different values. What is the best treatment?

  1. Identify the source dates and applicable versions, prefer the current authoritative limits for today, and qualify historical values.
  2. Use the oldest source because its URL is familiar.
  3. Average historical and current limits into a fabricated supported quota.
  4. Delete the source links and state both limits are guaranteed.

Explanation

Correct Answer

A:

Rate limits can change. Source recency and version context determine which claim supports the current system.

Incorrect Answers

B:

A familiar URL does not make a stale limit current. Fresh authority matters.

C:

Averaging values does not produce a vendor commitment. Each source has its own effective scope.

D:

Removing provenance hides the conflict and creates unjustified confidence. Attribution is essential.

Question 191

A developer asks Claude Code which files import a particular package. The repository is large and no modifications are authorized. Which tool usage minimizes side effects?

  1. Assume all source files import the package because it appears in dependencies.
  2. Use Grep to locate import statements, then Read matching contexts; avoid shell mutation commands.
  3. Run Bash with a command that reformats every matching file while searching.
  4. Replace each import with a stub before counting it.

Explanation

Correct Answer

B:

Targeted searches reveal references quickly without modifying repository state. Surrounding context confirms actual imports.

Incorrect Answers

A:

A dependency declaration does not prove each file uses the package. Search evidence is required.

C:

The user requested inventory, not edits. A mutating shell pipeline risks unrelated changes.

D:

Modification would alter behavior and invalidate the requested inventory. Read-only discovery is sufficient.

Question 192

An engineering team builds a skill that checks release notes and deployment readiness. Some users also ask it to deploy automatically. What should the skill describe?

  1. Treat a request for readiness as approval to deploy.
  2. Hard-code a production deploy command into every invocation.
  3. Suppress failed health checks and report readiness to reduce delay.
  4. Separate read-only readiness assessment from a separately authorized deployment action, with explicit prerequisites and failure handling.

Explanation

Correct Answer

D:

A skill can reuse procedural knowledge while preserving authorization boundaries. Readiness analysis should not silently mutate production.

Incorrect Answers

A:

Assessment and execution are different user intents. A report does not authorize side effects.

B:

A reusable skill should not assume the target environment or permission. Hidden defaults can cause outages.

C:

Ignoring failures defeats the purpose of the skill. The procedure must carry actual evidence.

Question 193

A codebase has generated API clients and handwritten service code. A formatting rule for regenerated clients conflicts with the service code style. Which scope is right?

  1. Disable all formatting checks across the repository.
  2. Apply the latest root-level formatting rule uniformly to both generated clients and handwritten service code.
  3. Place generator conventions under the generated client paths and service conventions under the source service paths.
  4. Apply the generated-code overwrite policy to every source file.

Explanation

Correct Answer

C:

Path-scoped rules keep the distinct maintenance processes separate. Shared project policy can still cover security and tests.

Incorrect Answers

A:

Conflict should be resolved through scope, not by abandoning useful validation.

B:

A newly updated root convention can still be inappropriate for generator-owned artifacts. The safe rule depends on file path, ownership, and whether changes must come from the source generator.

D:

Generated artifacts and hand-written code have different edit requirements. A global overwrite rule could destroy maintained code.

Question 194

An organization wants to rotate a shared token across twelve repositories and update CI secrets. The request lacks a clear rollout order or rollback strategy. What should Claude Code do?

  1. Copy the replacement secret into every source README.
  2. Declare the token rotated after changing one repository.
  3. Draft an impact-aware rotation plan with inventory, dependency order, safe overlap, validation and recovery steps before edits.
  4. Revoke the old token immediately without locating its consumers.

Explanation

Correct Answer

C:

A distributed credential rotation can break deployments. Planning clarifies coordination and required approvals.

Incorrect Answers

A:

Documentation repositories are not secure secret stores. CI secret management should handle credentials.

B:

One updated consumer does not satisfy a multi-repository rotation. Completion must reflect all authorized dependencies.

D:

Premature revocation can disrupt many services. Inventory and staged replacement are necessary.

Question 195

A generated database migration passes on a blank test database but fails on production-like data with duplicated legacy IDs. What is the best refinement loop?

  1. Reproduce the failure on sanitized representative data, define duplicate-handling policy, and revise the migration with regression tests.
  2. Delete duplicate records automatically without checking business meaning.
  3. Mark migration successful because it worked on an empty database.
  4. Disable constraints permanently so inserts never fail.

Explanation

Correct Answer

A:

Realistic fixtures expose assumptions hidden by empty databases. A specific policy is required before transforming ambiguous duplicate records.

Incorrect Answers

B:

Some duplicates may be legitimate historical versions. Blind removal can lose data.

C:

A blank-state pass does not validate existing records. The observed failure is substantive.

D:

Removing data integrity controls hides conflicts rather than resolving them. Correct mapping must be established.

Question 196

A document classifier grants exception status to any policy containing “unless.” It incorrectly approves exceptions that require a signed waiver. Which prompt criterion should change?

  1. Report every document containing “unless” as automatically noncompliant.
  2. Require the exception’s qualifying conditions and actual evidence of authorized waiver, returning pending when approval is missing.
  3. Assume the word “unless” guarantees a valid waiver.
  4. Delete the waiver requirement from the extraction schema.

Explanation

Correct Answer

B:

Conditional language does not establish that conditions were met. Evidence-linked criteria prevent premature exception approval.

Incorrect Answers

A:

Blanket rejection is also overbroad. The evidence should determine the outcome.

C:

A conditional clause is not proof of compliance with its prerequisites. The rule must examine actual authorization.

D:

Removing a required field hides the missing approval. The policy remains binding.

Question 197

A data extraction prompt handles one invoice line item but drops additional rows. Which examples best teach the required array structure?

  1. Provide only ten invoices containing exactly one item.
  2. Replace arrays with a single description string for every invoice.
  3. Allow the model to omit later items when a response becomes long.
  4. Show labeled examples with one, multiple and zero line items, including the expected empty-array representation.

Explanation

Correct Answer

D:

Contrasting cardinalities teach both the schema and boundary cases. The model should not infer that only one row is allowed.

Incorrect Answers

A:

Repetitive single-item examples do not cover the failing multi-row pattern. Diversity matters.

B:

Free-form text loses per-item amounts and cannot satisfy the downstream contract.

C:

Silent truncation violates completeness. Item counts should be validated.

Question 198

An API expects an extracted party record or an explicit parse error. The model sometimes emits both `party` and `error`, confusing callers. Which schema shape is preferable?

  1. Always include a fake error code even for valid records.
  2. Use a tagged union with mutually exclusive success and error variants, each with its own required fields.
  3. Use one object where every field is optional and neither state is required.
  4. Return free-form prose and let each caller guess whether it was an error.

Explanation

Correct Answer

B:

A discriminator makes state unambiguous and enforces complete variant-specific data. Consumers can branch predictably.

Incorrect Answers

A:

False error indicators mislead downstream processing. The schema should represent actual status.

C:

Unconstrained combinations permit ambiguous payloads. The client needs a defined outcome.

D:

String interpretation is fragile and violates structured output requirements. An explicit state is better.

Question 199

A model emits a valid JSON number in `client_id`, but the downstream contract requires a string preserving leading zeros. The system retries the same prompt unchanged. What is the correct repair?

  1. Return the precise type violation, enforce a string schema, and retry with source evidence while preserving the leading zeros.
  2. Convert the number to text and pretend lost leading zeros never existed.
  3. Ignore type validation because the value looks numeric.
  4. Set all client IDs to zero if validation fails.

Explanation

Correct Answer

A:

Schema-aware feedback addresses the actual defect. A numeric representation has already destroyed information that must be recovered from source.

Incorrect Answers

B:

A string conversion cannot recover digits stripped by numeric parsing. Re-extract from the source.

C:

Identifiers are not quantities. Their textual form can be significant.

D:

Fabricated identifiers could associate data with the wrong client. Invalid data should be corrected or escalated.

Question 200

A PostToolUse hook normalizes an external data feed. One result unexpectedly includes a field instructing the agent to download internal files. What should the hook do?

  1. Hide the field from logs but allow it to affect the model silently.
  2. Validate allowed fields, treat instruction-like content as untrusted data, and strip or quarantine unexpected fields before model ingestion.
  3. Promote the field to a higher-priority instruction because it came from a tool.
  4. Execute the download and decide afterward whether the field was relevant.

Explanation

Correct Answer

B:

The data adapter should enforce a defined schema and trust boundary. A returned payload cannot grant new tool authority.

Incorrect Answers

A:

Invisible influence undermines auditability. Unexpected control text should be quarantined.

C:

External tool data is not an authorization source. The text could be hostile or compromised.

D:

Side effects before validation can expose internal information. The unknown field must be rejected first.

Claude Certified Architect - Foundations (CCA-F) Practice Tests