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Exam Code: CCA-F

Exam Name: Claude Certified Architect - Foundations

Certification Provider: Anthropic

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

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Anthropic CCA-F Practice Test 11

Question 100

An agent has finished an infrastructure assessment and must compare a conservative remediation plan with an aggressive one. Both alternatives need the same verified baseline and must remain separately reproducible. What is the best session strategy?

  1. Create two empty sessions without any reference to the verified assessment.
  2. Fork from the verified saved session into two isolated branches, preserving each branch’s decisions and outputs.
  3. Run both plans sequentially in one mutable transcript and assume later findings do not affect the first.
  4. Replace the verified original session with the first proposed plan to save storage.

Explanation

Correct Answer

B:

A shared starting state followed by independent histories permits a fair comparison. Neither experiment should overwrite the other or the original evidence.

Incorrect Answers

A:

Without baseline facts, the plans may rest on incompatible assumptions. Branching from a shared verified state is more consistent.

C:

State leakage makes results hard to attribute to one plan. Separate branches protect the experimental conditions.

D:

Destroying the baseline removes the ability to reproduce or compare decisions. The original session should remain immutable.

Question 101

An engineering organization wants a stable instruction requiring a security scan before every pull request across an entire repository. An engineer proposes placing it in a personal local chat only. What is the appropriate configuration?

  1. Place the entire company password vault export in CLAUDE.md so automated scans can authenticate.
  2. Put the shared repository instruction in an appropriate tracked CLAUDE.md and keep machine-specific secrets out of it.
  3. Rely only on the original engineer’s transient conversation.
  4. Store the instruction in a generated vendor dependency file that is overwritten on install.

Explanation

Correct Answer

B:

Repository-level memory reaches collaborators working in the same codebase. Team rules should be versioned, reviewed and separated from private environment details.

Incorrect Answers

A:

Shared memory files are not secret stores. Credentials require a separate controlled mechanism.

C:

A transient chat does not provide durable team-wide instructions. Other developers and fresh sessions would not inherit the rule reliably.

D:

Generated dependencies are not stable team instruction locations and may disappear. The directive needs a maintained project-scoped file.

Question 102

A user asks Claude Code to identify where a command-line flag is parsed in a repository before changing its documentation. Which sequence limits accidental modification?

  1. Call Write to overwrite the repository README with a guessed flag description.
  2. Use Bash to remove the repository’s test suite so searches run faster.
  3. Search for the flag with Grep, inspect matching files with Read, and edit only the confirmed documentation location.
  4. Run a recursive sed replacement over every file without reviewing matches.

Explanation

Correct Answer

C:

Grep efficiently identifies candidate references, while Read supplies surrounding context. Editing should follow evidence rather than a broad shell replacement.

Incorrect Answers

A:

Writing without locating the real parser risks documenting unsupported behavior. The source must establish the flag semantics.

B:

Deleting tests does not help locate a flag and damages verification. Built-in search and read tools can answer the discovery question safely.

D:

Blind text replacement can change executable code, generated files and unrelated strings. Scoping is needed first.

Question 103

A team repeats a structured incident-report preparation process: gather authorized logs, build a timeline, mark evidence gaps, and draft a report. How should it make that workflow reusable within Claude Code?

  1. Have the skill approve every report automatically without checking evidence completeness.
  2. Create a documented project skill with clear triggers, bounded steps, input prerequisites and references to approved evidence paths.
  3. Paste the full incident procedure into every unrelated user request.
  4. Store all future investigation output as hard-coded examples inside a shared skill.

Explanation

Correct Answer

B:

A skill packages repeatable process knowledge without forcing every future session to ingest its full procedure. Clear activation and evidence requirements keep execution relevant.

Incorrect Answers

A:

Reusable instructions cannot replace factual validation. Approval should depend on actual artifacts and unresolved gaps.

C:

Always-on text wastes context and can interfere with tasks that do not involve incidents. Conditional use is preferable.

D:

Live incidents differ and may contain sensitive material. Skills should describe process, not make old incident findings appear current.

Question 104

A mixed Python and TypeScript repository has a rule requiring Python type hints and pytest commands. Loading this rule for TypeScript UI tasks creates conflicting advice. How should the team scope it?

  1. Rename TypeScript files with .py so they match the rule filter.
  2. Use a path-scoped rule for matching Python files/directories while retaining common policies at repository scope.
  3. Repeat the Python testing rule in the global instructions for every file.
  4. Delete all TypeScript instructions so the model encounters only one language.

Explanation

Correct Answer

B:

Path-specific loading ensures language-specific directions appear where they apply. Common security and review standards remain shared without contaminating unrelated tool choices.

Incorrect Answers

A:

Mislabeling source breaks tooling and does not reflect the actual language. Rule patterns should follow real file locations.

C:

Global scope is the cause of unrelated guidance. A targeted file selector better matches the rule’s applicability.

D:

Removing needed conventions makes UI work worse. The correct remedy is conditional loading, not disabling other stacks.

Question 105

A request will migrate a shared database schema, update three services, and coordinate a rollback window. The user has not agreed on backward compatibility. Which Claude Code mode is best initially?

  1. Delete migration history to make the upcoming change look simple.
  2. Use plan mode to inspect dependencies, outline migration and rollback, and surface compatibility decisions before edits.
  3. Apply the first schema change immediately, then ask about compatibility after deployment.
  4. Use an unchecked one-line global replacement across all services.

Explanation

Correct Answer

B:

Cross-service changes can cause irreversible outages. Planning separates impact assessment and required decisions from execution.

Incorrect Answers

A:

Removing history damages rollback and auditability. Plan mode should leverage existing migrations as evidence.

C:

Changing production-facing contracts before determining dependent-service behavior increases risk. Design choices belong ahead of implementation.

D:

Schema migration needs staged coordination and testing. Broad textual edits cannot establish data compatibility.

Question 106

A generated parser works on ordinary invoices but fails on a tax-exempt purchase order. The team wants a reliable iterative improvement. What should it do first?

  1. Regenerate the entire parser with a different personality prompt and discard prior tests.
  2. Change the output schema for every consumer to hide the unsupported case.
  3. Declare tax-exempt documents invalid without checking the source requirements.
  4. Capture the failing tax-exempt case as a regression fixture, clarify the expected fields and update the implementation against it.

Explanation

Correct Answer

D:

A concrete failing example gives targeted feedback and a durable test. Iteration can then verify both the repaired edge case and unchanged ordinary behavior.

Incorrect Answers

A:

Unbounded regeneration loses working behavior and offers no measured improvement. Small test-driven edits are more predictable.

B:

Broad contract changes can break valid clients and do not solve the parser’s evidence interpretation. Preserve the agreed schema.

C:

The fixture may be a legitimate input. The team should validate the rule, then implement correct handling.

Question 107

An internal compliance reviewer wrongly labels harmless vendor invoices as fraud whenever the phrase “urgent payment” appears. What prompt change best reduces false positives?

  1. Automatically report every invoice containing “urgent” to law enforcement.
  2. Specify observable fraud criteria, require supporting evidence for each criterion, and allow “insufficient evidence” instead of a forced accusation.
  3. Tell the model to be more suspicious and never output “uncertain”.
  4. Remove all transaction context and classify from the subject line alone.

Explanation

Correct Answer

B:

A calibrated decision rubric discourages conclusions from weak lexical cues. It makes uncertainty explicit and supports reproducible review.

Incorrect Answers

A:

An unverified keyword is not sufficient evidence of fraud and can cause disproportionate harm. Human escalation should be tied to credible indicators.

C:

Stronger suspicion increases false positives. The model needs a defensible evidence threshold and a non-accusatory outcome.

D:

Less context makes ambiguous words more misleading. Relevant transaction evidence is required to distinguish urgency from abuse.

Question 108

A customer support classifier confuses refundable cancellations with chargeback disputes that require a separate workflow. Which few-shot examples are most helpful?

  1. Include an example that approves a chargeback solely because the customer requests a refund.
  2. Include contrasting labeled examples for eligible cancellation, chargeback dispute and an ambiguous borderline case, with the decisive cues.
  3. Supply ten nearly identical successful refund examples with no negative cases.
  4. Provide examples with missing labels and ask the model to infer the answer key.

Explanation

Correct Answer

B:

Diverse examples teach the model the actual decision boundary and when to escalate, rather than simply imitating one surface phrase.

Incorrect Answers

A:

A mislabeled example teaches the wrong workflow. Cases must reflect policy distinctions accurately.

C:

Redundant positive examples reinforce one outcome but do not teach how to reject or escalate other conditions.

D:

Unlabeled examples can confuse task intent. Labels and clear boundary features support reliable pattern learning.

Question 109

An extraction service returns monetary claims from contracts. Downstream accounting requires amount and ISO currency separately and must reject unknown currencies. What should the structured output contract contain?

  1. One free-form string labeled “money”, without any validation.
  2. A boolean indicating whether the contract contains money but no amount.
  3. An integer amount that silently assumes every contract uses US dollars.
  4. A typed object with numeric amount, constrained currency enum and required source span, validated before acceptance.

Explanation

Correct Answer

D:

Schema constraints reduce malformed data and preserve provenance. Server-side validation should still reject unsupported values or absent evidence.

Incorrect Answers

A:

Text such as “five grand” cannot be used safely by accounting without parsing and currency resolution. Typed fields are needed.

B:

Presence alone does not meet the downstream requirement. The numeric value and currency must be represented and checked.

C:

The contract may use many currencies. Silent assumptions create financial errors when the currency is not explicit.

Question 110

A contract extraction produces valid vendor and date fields but an invalid VAT identifier. A full regeneration often changes otherwise correct values. What is the better recovery loop?

  1. Replace the VAT identifier with a syntactically valid random number.
  2. Validate the VAT field, return a precise validation error with the relevant source span, and request a narrowly scoped correction.
  3. Accept the invalid identifier because most other fields are correct.
  4. Regenerate every field repeatedly without carrying validation feedback.

Explanation

Correct Answer

B:

Targeted retries preserve stable fields and make changes attributable. The system can cap retries and escalate if the source remains ambiguous.

Incorrect Answers

A:

Syntactic validity does not establish that the identifier matches the source. Fabricating data destroys provenance.

C:

A malformed critical identifier should not be silently used by downstream systems. The contract needs explicit validation.

D:

Blind full retries can introduce fresh defects and may repeat the same mistake. Error-guided local repair is more efficient.

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