McAfee Secure

Exam Code: CCA-F

Exam Name: Claude Certified Architect - Foundations

Certification Provider: Anthropic

Questions & Answers

Anthropic CCA-F Questions & Answers

Study with Up-To-Date REAL Exam Questions and Answers from the ACTUAL Test

Questions & Answers

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 12

Question 110

A search MCP tool is described only as 'search things'. Agents repeatedly omit the required collection filter and misread no-match results. What should its contract document?

  1. Describe query scope, required filters, result shape, no-match semantics, authorization and illustrative valid calls.
  2. Make the description longer by repeating 'search' without any field definitions.
  3. Use a single free-text parameter in place of schema validation for all actions.
  4. Tell the model that every search will succeed even when the server rejects requests.

Explanation

Correct Answer

A:

Specific input and output semantics make selection and recovery predictable.

Incorrect Answers

B:

Repeated vague wording does not clarify the required arguments.

C:

Removing structure weakens input correctness and tool choice.

D:

A false guarantee conceals necessary error handling.

Question 111

A tool called issue_refund accepts amount but does not specify cents versus dollars, customer ID or approval scope. Which revision reduces financial ambiguity?

  1. Make customer ID optional and default to the first search result.
  2. Describe only the expected refund result, omitting authorization and state-changing side effects from the tool contract.
  3. Leave amount as an arbitrary string and let Claude infer the user's preferred currency.
  4. Define typed amount and currency units, verified account reference, approval preconditions and observable outcomes.

Explanation

Correct Answer

D:

Unambiguous money and identity fields prevent incorrect or unauthorized transfers.

Incorrect Answers

A:

A default account is not validated customer authorization.

B:

Side effects and authorization are essential semantics for a payment tool. A model and client cannot safely infer them from a vague name.

C:

Guessing unit conventions risks a one-hundredfold transfer mistake.

Question 112

A document tool both summarizes articles and certifies factual claims, sometimes returning a prose paragraph where callers expect a verdict. What interface design should a team adopt?

  1. Separate summary and verification operations with explicit, different evidence and output schemas.
  2. Use one tool with an undocumented mode selected by the model's mood.
  3. Treat any generated summary as proof its claims were verified.
  4. Use an untyped free-form output object for every document operation to avoid maintaining separate result contracts.

Explanation

Correct Answer

A:

Distinct contracts prevent a descriptive summary being mistaken for validation.

Incorrect Answers

B:

Hidden modes produce inconsistent results.

C:

Summarization does not establish source-grounded correctness.

D:

Flexible outputs can move ambiguous data downstream. Distinct typed contracts help consumers distinguish summaries from verification decisions.

Question 113

An agent chooses a broad content analyzer when the user requests verification of one cited metric. Both tool descriptions mention 'analyze'. Select TWO improvements to the tool interface that reduce incorrect verification calls.

  1. Require the user to know private tool identifiers before asking normal questions.
  2. Rename both tools to research_helper so naming is consistent.
  3. Clarify each tool's specific purpose, input domain, output fields and exclusion cases in its definition.
  4. Return a success message without performing either operation.
  5. Expose a narrow read-only verify_metric capability instead of giving that verification role a general-purpose mutation tool.

Explanation

Correct Answers

C:

Discriminating descriptions reduce confusing a fresh extraction with claim verification.

E:

Clear descriptions tell the model which task each tool handles. A purpose-limited read-only capability separately prevents an accidental state-changing operation during evidence verification.

Incorrect Answers

A:

The API should express its own capabilities clearly.

B:

Shared generic names worsen selection ambiguity.

D:

A fake tool outcome cannot meet the verification request.

Question 114

An MCP customer lookup sometimes returns customer_id=null for a successful no-match, but the client treats null as a server crash. Which contract change is required?

  1. Disable validation to tolerate every shape the provider might return.
  2. Coerce a missing customer ID to an empty string so the client can send a non-null value through validation.
  3. Document nullable customer IDs, successful zero-result responses and distinct error categories with example payloads.
  4. Treat every missing customer as a permission failure regardless of status.

Explanation

Correct Answer

C:

Absence of a record must remain separate from failure to execute the lookup.

Incorrect Answers

A:

The downstream controller still needs predictable response semantics.

B:

Changing null to an empty identifier does not identify a customer. It also masks a valid no-match and can send an invalid key to privileged operations.

D:

No-match and forbidden access have different meanings.

Question 115

A document-fetch tool accepts any URL including private metadata endpoints, although its job is to read approved articles. What input boundary is appropriate?

  1. Trust URLs because the model usually chooses useful sources.
  2. Allow arbitrary redirects without checking the final destination.
  3. Limit retrieval to allowed resource identifiers or approved hosts and validate the resolved destination server-side.
  4. Put 'avoid internal sites' in the tool description with no runtime checks.

Explanation

Correct Answer

C:

A narrow resource contract limits SSRF and unauthorized internal reads.

Incorrect Answers

A:

Generated input can be mistaken or manipulated by untrusted text.

B:

Redirects can bypass an initial host allowlist.

D:

Descriptions guide behavior but cannot enforce network boundaries.

Question 116

A single MCP endpoint supports both list_documents and delete_document under one ambiguous operation. A reporting agent should be read-only. What design is safest?

  1. Expose separate read and mutation tools and allowlist only the read operation for that agent.
  2. Give all users admin tokens and rely on polite prompts.
  3. Hide the delete parameter from generated examples but keep it accepted.
  4. Let the reporting agent call the combined endpoint with an optional delete flag.

Explanation

Correct Answer

A:

Separating side effects supports least-privilege tool access.

Incorrect Answers

B:

Broad credentials magnify errors and prompt-injection damage.

C:

Undocumented inputs are not an authorization control.

D:

The same permission could still invoke destructive behavior.

Question 117

A custom API returns fields x1, x2 and status 7 with no schema explanation. The agent invents their meanings. How should the integration be corrected?

  1. Report every response as successful regardless of its status code.
  2. Ask Claude to assume x1 always means account number.
  3. Publish typed field names, descriptions, enumerated statuses and representative valid responses in the tool schema.
  4. Suppress output validation and send raw undocumented values only.

Explanation

Correct Answer

C:

Semantic contracts reduce hallucinated interpretations of opaque data.

Incorrect Answers

A:

Execution outcome cannot be inferred from an unexplained code.

B:

A guessed mapping may target unrelated fields.

D:

Raw data still lacks the semantics needed to answer accurately.

Question 118

A support agent has find_order and find_invoice but both claim to 'look up a record'; it invokes invoices for shipping questions. What will improve selection?

  1. Define separate object and parameter domains, describing order fulfillment versus billing-document lookup.
  2. Rename both operations lookup and leave their schemas unchanged.
  3. Always invoke both and ignore the unused result.
  4. Merge invoices and orders into one generic result without source type.

Explanation

Correct Answer

A:

Clear distinctions make the requested information map to the correct source.

Incorrect Answers

B:

Indistinguishable names increase routing errors.

C:

Unnecessary retrieval can expose unrelated financial information.

D:

The assistant can then confuse delivery status with financial records.

Question 119

A refund-service tool accepts action as any free-text phrase, so the model sends 'maybe return' and the backend rejects it. What should change?

  1. Use a defined enumeration of supported action types and reject other values with precise validation feedback.
  2. Silently coerce every unknown action into refund.
  3. Accept arbitrary prose and guess the intended operation inside the backend.
  4. Ask the model to memorize the backend's hidden set of phrases.

Explanation

Correct Answer

A:

Typed allowed values make the contract executable and teach correct recovery.

Incorrect Answers

B:

Defaulting to a monetary side effect is unsafe.

C:

Guessing risks executing the wrong financial action.

D:

Hidden constraints lead to repeated invalid calls.

Question 120

An integration feeds text/html and application/json to one parser that sometimes returns strings and sometimes dictionaries with no type marker. What design improvement is best?

  1. Define content-type-specific typed outputs or separate parsers and validate response shapes.
  2. Return raw bytes as success without declaring the encoding.
  3. Convert all JSON fields into a paragraph before validation.
  4. Strip the content type header and let the model guess the structure.

Explanation

Correct Answer

A:

Typed contracts let downstream consumers handle each representation reliably.

Incorrect Answers

B:

Consumers cannot safely interpret an unknown representation.

C:

Flattening loses structured semantics required by clients.

D:

Ambiguity increases parsing errors and unsupported inferences.

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