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Exam Code: CCA-F

Exam Name: Claude Certified Architect - Foundations

Certification Provider: Anthropic

Questions & Answers

Anthropic CCA-F Questions & Answers

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Questions & Answers

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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 39

Question 380

A previously reviewed module changed in one commit while the rest of a monorepo is unchanged. An agent is resuming its dependency analysis. What work should be repeated?

  1. Re-run every historical scan and rewrite every earlier result.
  2. Skip all checks because the previous full review passed before the commit.
  3. Inspect the changed module and its affected interface/dependent checks, preserving prior validated findings elsewhere.
  4. Recompute unrelated certification question-bank comparisons.

Explanation

Correct Answer

C:

Change-targeted revalidation limits waste while maintaining consistency.

Incorrect Answers

A:

Unchanged evidence does not need automatic complete reprocessing.

B:

The new change may invalidate relevant dependencies.

D:

Other exams are outside the code investigation and source-scope boundary.

Question 381

An extractor reports 0.99 confidence on almost every field, yet a labeled audit finds it wrong on one document type 18% of the time. How should confidence be used?

  1. Replace every confidence value with 1.0 to simplify deployment.
  2. Calibrate scores and thresholds against labeled outcomes, including the problematic document segment, rather than trusting raw self-assessment.
  3. Automatically accept all 0.99 fields as correct because the label is near one.
  4. Reject every low-confidence and high-confidence record alike without analysis.

Explanation

Correct Answer

B:

Empirical reliability matters more than uniformly high self-reported confidence.

Incorrect Answers

A:

Uniform certainty hides the observed error rate.

C:

An uncalibrated score does not guarantee accuracy.

D:

A blanket rule discards useful distinctions and evidence.

Question 382

An entity extractor finds two plausible legal entities with similar names in a contract, and it cannot reliably determine the signer. What is an appropriate human-review trigger?

  1. Route the ambiguous signer field with the relevant source spans and candidate identities for an authorized reviewer.
  2. Choose the first name mentioned anywhere in the contract.
  3. Delete the contract while claiming all entities were extracted.
  4. Use a similarly named company from the internal customer directory when the contract’s signer remains ambiguous.

Explanation

Correct Answer

A:

Legal-entity ambiguity can affect obligations and should not be silently resolved.

Incorrect Answers

B:

First occurrence may refer to a counterparty or unrelated organization.

C:

Uncertain extraction does not justify false completion.

D:

A familiar registry match may refer to a different legal entity. The signer should be verified from contract evidence before attribution.

Question 383

A document classifier reports 96% overall accuracy but fails disproportionately on photographed receipts. What monitoring change would expose the weakness?

  1. Use only the aggregate number because it already exceeds 95%.
  2. Increase the model's confidence labels on receipts to match the average.
  3. Measure and calibrate errors separately by document type and input quality, not only as an aggregate average.
  4. Exclude photographed receipts from reports without updating scope.

Explanation

Correct Answer

C:

Stratified metrics reveal significant failure patterns masked by an overall score.

Incorrect Answers

A:

The average can hide an unacceptable subgroup error rate.

B:

Score inflation does not improve real predictions.

D:

Silent exclusion changes coverage and conceals the problem.

Question 384

An extraction model claims 99.8% confidence in an invoice total, but verified line items sum to a different amount. Which rule should decide acceptance?

  1. Ignore the mismatch if the document is short.
  2. Change the line items silently until they match the claimed total.
  3. Accept the claimed total because 99.8 is higher than the configured threshold.
  4. Fail or flag the deterministic arithmetic conflict despite the model's high confidence, preserving the source values for review.

Explanation

Correct Answer

D:

Objective invariants override an unsupported confidence assertion.

Incorrect Answers

A:

Length has no connection to financial correctness.

B:

Altering evidence masks a real discrepancy.

C:

Confidence cannot cancel a demonstrated arithmetic contradiction.

Question 385

An extraction service processes 50,000 records, 96% from clean PDFs and 4% from photographed forms. Reviewers can label only 1,000 outputs to decide whether a confidence threshold is trustworthy for each format. Which sampling method BEST tests that calibration question?

  1. Stratify the labeled sample by document format and confidence band, including enough photographed forms to estimate their error rate separately.
  2. Take the first 1,000 high-confidence clean-PDF outputs and apply their accuracy rate to all formats.
  3. Sample only the 1,000 lowest-confidence outputs and declare the high-confidence error rate zero without checking any.
  4. Average all model confidence scores without obtaining any verified labels or comparing predicted confidence to error frequency.

Explanation

Correct Answer

A:

A stratified labeled evaluation can compare actual correctness against model confidence in each format and band. The small, error-prone photo segment needs intentional representation; otherwise an overall score can look strong while that format remains poorly calibrated.

Incorrect Answers

B:

An input-order and clean-PDF-only sample says little about photographed forms. High self-reported confidence does not guarantee correctness in an untested segment.

C:

Low-confidence review is useful for triage, but calibration also requires observing outcomes at medium and high confidence; ignoring those bands can miss overconfident errors.

D:

Unlabeled confidence averages are not measured accuracy. Calibration requires comparing reported probabilities or scores with independently checked outcomes.

Question 386

A team sets a human-review threshold of 0.85 on an extractor's confidence score without a labeled evaluation set. Select TWO practices before treating the confidence threshold as a release gate.

  1. Estimate error and escalation rates on representative labeled data, then tune the threshold for risk and capacity.
  2. Allow the model to alter its own threshold whenever a result is inconvenient.
  3. Disable validation because a numeric threshold exists.
  4. Treat 0.85 as a universal scientific guarantee across all models and documents.
  5. Measure false positive and false negative rates across relevant document types rather than trusting one overall average.

Explanation

Correct Answers

A:

A numerical cutoff is meaningful only after empirical calibration.

E:

A validation set establishes whether a threshold predicts reliability at all. Stratified error measurements reveal high-risk populations hidden by an aggregate score.

Incorrect Answers

B:

Uncontrolled thresholds undermine consistency and governance.

C:

A score alone does not verify arithmetic, schema or source fidelity.

D:

Confidence scales are not automatically comparable or calibrated.

Question 387

A bank's invoice extractor performs well on common vendors but repeatedly mislabels tax fields for one smaller supplier. What reliability report is needed?

  1. Only a global pass rate with no supplier breakdown.
  2. An unverified claim that the minority supplier's forms are invalid.
  3. Per-vendor or per-layout error rates and examples, alongside overall metrics, so targeted fixes address the failing segment.
  4. A longer list of raw successes from the dominant vendor.

Explanation

Correct Answer

C:

Aggregate accuracy can conceal systematic errors in a specific population.

Incorrect Answers

A:

An average does not reveal concentrated failures.

B:

Blaming source data without evidence avoids the actual model-quality question.

D:

Additional common cases do not test the known failure pattern.

Question 388

An ambiguous extracted address is handed to a human operator with only the label 'low confidence'. What information should accompany it?

  1. Only the model-generated address with no original document.
  2. Source document and highlighted span, proposed candidates, conflicting evidence, why validation failed and the decision needed.
  3. Every raw document from all customers in the batch.
  4. A statement that the model is never wrong on this category.

Explanation

Correct Answer

B:

A contextual packet makes review efficient and auditable.

Incorrect Answers

A:

Without source evidence the reviewer cannot verify it.

C:

Unrelated records create privacy exposure and distract from the decision.

D:

Unfounded certainty undermines the reason for review.

Question 389

A category extractor has three enum values but a source document does not support any one of them. The consumer supports an `unclear` state. What output is justified?

  1. Return `unclear` with the relevant evidence limitation and route it for review if needed.
  2. Remove the document from processing without recording an unresolved item.
  3. Return all three categories as if simultaneously true.
  4. Choose the first enum value because a category is required.

Explanation

Correct Answer

A:

An explicit uncertainty state is better than falsely assigning a known category.

Incorrect Answers

B:

Silent loss conceals coverage gaps.

C:

A single-category schema and source evidence do not support that.

D:

Position is not source evidence.

Question 390

A medical-claims document extractor attempts to reprocess an illegible dosage field four times without new evidence, producing different guesses. What is the safe termination behavior?

  1. Take the mean of the guesses and mark it verified.
  2. Increase the number of retries indefinitely until outputs agree by chance.
  3. Choose the largest guessed dosage because it is more conservative.
  4. Stop automatic retries, preserve the uncertain field and source image reference, and require authorized human review.

Explanation

Correct Answer

D:

Repeated guesses without new evidence do not improve reliability for a high-impact value.

Incorrect Answers

A:

Averages of guesses are not source evidence.

B:

Unbounded attempts can create spurious consensus without accuracy.

C:

An arbitrary extreme can be harmful and unsupported.

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