--- title: "CCDV-F Worked Scenarios: 10 Items Explained | Cred Farmer" url: https://credfarmer.com/blog/ccdv-f-practice-questions description: "Ten CCDV-F worked scenarios written to Exam Guide v1.0: original stems across six domains by weight, the key, why every wrong option fails, and a miss map." last_updated: 2026-10-02 publisher: "Cred Farmer, an independent study platform, not affiliated with or endorsed by Anthropic or Pearson VUE" --- Claude Certification Blog # Ten CCDV-F worked scenarios, explained option by option These ten CCDV-F worked scenarios are original items written to the official Exam Guide v1.0, spread across six of the eight Developer domains by weight, each with the key and a stated reason why every option holds or fails. 10 items · Single and select-two · 6 of 8 domains Published 17 September 2026Updated 2 October 202615 min read By the Cred Farmer editorial team.Checked against the official sources on 2 October 2026. The ten CCDV-F worked scenarios below are not exam items and were not written from any exam item. Each is a short scenario with a measured symptom and a constraint, then four options, or five for a select-two. Nine are single response and one is select-two, the two formats the guide describes. Answer every item cold, record the misses in the map below, and open the reason for every option afterwards. Three items sit in Applications and Integration because that domain is a third of the paper. The [official CCDV-F exam guide](https://anthropic-partners.skilljar.com/page/partner-certifications) is the authority on format and weights; the [Claude Certified Developer - Foundations page](https://credfarmer.com/certifications/claude-certified-developer-foundations) carries the blueprint and six more open items. The reading method these items reward is in the [Claude certification sample questions](https://credfarmer.com/blog/claude-certification-sample-questions) hub, and what official material exists is in the [guide to Claude certification practice exams](https://credfarmer.com/guides/claude-certification-practice-exams). ## Why do these CCDV-F worked scenarios skip two domains? Because the blueprint does. Applications and Integration is 33.1% of the exam, about 17 of 53 items; Eval, Testing, and Debugging is 2.6%, a single item, and Claude Code is 3.1%, two. Spread ten items by those weights and the two smallest domains round to zero, so the set covers the six domains that carry 94% of the paper; the [free CCDV-F practice exam](https://credfarmer.com/practice/ccdv-f), all 53 items, carries the other two at their exam allocation. The omission states how few marks they are worth; it is not advice to skip them. **Figure:** Eight CCDV-F domains by official weight, with the items each has in this set - Official weight · items in this set - D2 Applications and Integration · 33.1% · 3 items - D5 Model Selection and Optimization · 16.8% · 2 items - D1 Agents and Workflows · 14.7% · 2 items - D6 Prompt and Context Engineering · 11% · 1 item - D8 Tools and MCPs · 10.6% · 1 item - D7 Security and Safety · 8.1% · 1 item - D3 Claude Code · 3.1% · 0 items - D4 Eval, Testing, and Debugging · 2.6% · 0 items Weights from the official CCDV-F Exam Guide v1.0. A pale bar is a domain with no item here. ## Applications and Integration: which layer actually changed? Three items, because the domain is a third of the paper, on three published skills: API mechanics, where prompt caching pays only when the cached prefix is identical from the first token; software engineering foundations, where an idle CPU beside blocked threads is an I/O problem, not a capacity problem; and configuration management, where a floating model alias makes an upstream release an untested production change. The distractors share one pattern: a bigger knob where the fault is structural. Question 1 · Domain 2 · single response · written for this article A 6,000-token system prompt has a cache_control breakpoint at its end, yet cache reads stay near zero. The prompt opens with the current timestamp and user ID, then static instructions. What fixes the cache? - **A.** Add a second cache_control breakpoint on the latest user message in each request. - **B.** Move the timestamp and user ID after the breakpoint, outside the cached block. - **C.** Raise the cache lifetime on the system prompt block. - **D.** Pad the prompt above the minimum cacheable length. **Show the answer and the reason for every option** Answer: B **Caching matches an exact prefix from the first token.** Objective O06, Claude API Mechanics. **A.** A second breakpoint still sits after the changing first line, so no request ever shares a prefix with another. **B (correct).** Correct. With the changing values after the breakpoint, every request shares the same static prefix and reads it from the cache. **C.** Each prefix is unique because of the timestamp, so a longer lifetime keeps entries that nothing will ever match. **D.** At 6,000 tokens the prompt is already long enough to cache. The changing first line is the problem. Question 2 · Domain 2 · single response · written for this article A Python service waits about four seconds on each synchronous Claude API call. At 300 users all 32 threads block on network waits, with CPU under 10 percent. Which change fixes the cause? - **A.** Raise the thread pool from 32 to 512 threads on each service instance. - **B.** Cache finished responses by message text and serve repeat questions from it. - **C.** Switch to the async client and await each call on an event loop. - **D.** Move every call to a Haiku-class model. **Show the answer and the reason for every option** Answer: C **Network waits call for async code.** Objective O07, Software Engineering Foundations. **A.** More threads let more requests wait at once, but each still blocks a thread and the blocking design remains. **B.** Only identical messages would hit such a cache, so most requests still block a thread for four seconds. **C (correct).** Correct. Awaiting calls on an event loop lets one worker serve many requests while each waits on the network. **D.** A faster model shortens each wait, but every call still blocks a thread for its whole duration. Question 3 · Domain 2 · single response · written for this article With no deployment, a report service's output changed section order one Tuesday and parsing failed for six hours. The code names its model by a floating alias. What prevents a repeat? - **A.** Set temperature to zero on every request the service sends. - **B.** Retry the failed parse step with exponential backoff and jitter. - **C.** Pin a dated model version, tested before each upgrade. - **D.** Move the prompt and the model name into the repository's CLAUDE.md file. **Show the answer and the reason for every option** Answer: C **Pin the model and upgrade on evidence.** Objective O09, Configuration Management. **A.** Temperature affects sampling within one version. It cannot stop a new release from changing the output format. **B.** Retrying does not fix a format change. The parser rejects the new order every time. **C (correct).** Correct. With a dated version named in configuration, the model changes only on a deliberate, tested upgrade. **D.** CLAUDE.md is configuration for Claude Code sessions. It does not govern a production service's prompt or model. ## Model Selection and Optimization: is the extra spend buying anything? Two items on the second-heaviest domain, both turning on a measurement the scenario already contains: an evaluation that shows no meaningful gap from extended thinking on a bounded classification, and a bill that more than doubled behind a service that logs nothing. The defensible option acts on the evidence in the stem, not on a general belief about reasoning or cheaper tiers. Watch the mechanism error too: the thinking budget must fit inside the output limit. Question 4 · Domain 5 · single response · written for this article An email router choosing one of six queues runs extended thinking with a 10,000-token budget. Latency is 6.2 seconds against a 1.5-second target. Accuracy is 96.4 percent with thinking, 96.2 without. What should you change? - **A.** Keep thinking on and move the router to a Haiku-class model. - **B.** Keep the full budget and ask the business to relax the target. - **C.** Keep thinking on and cut max_tokens sharply. - **D.** Turn off extended thinking for this routing call and keep the current model. **Show the answer and the reason for every option** Answer: D **Thinking is a per-call setting, spent where it pays.** Objective O12, LLM Fundamentals. **A.** A smaller model with thinking still spends time reasoning on a task the eval shows does not need it. **B.** The evidence shows almost no accuracy gain, so asking the business to accept slower routing has no basis. **C.** A lower cap with thinking on can cut the reply off before the answer, and the budget is still spent first. **D (correct).** Correct. The eval shows thinking barely helps this call, and turning it off brings latency back within the target. Question 5 · Domain 5 · single response · written for this article Your API bill rose 2.4 times in a month. The service serves 60 accounts and logs nothing per request. You must find which accounts and request types drive the rise. What comes first? - **A.** Log the input, output and cache token counts from each response, tagged by account. - **B.** Estimate each account's share by splitting the invoice in proportion to its traffic volume. - **C.** Set a global max_tokens cap on every request while you investigate. - **D.** Move all 60 accounts to a Haiku-class model right away. **Show the answer and the reason for every option** Answer: A **Measure usage per account before changing anything.** Objective O15, Cost and Token Management. **A (correct).** Correct. Per-request token counts tagged by account and request type show exactly what drives the increase. **B.** Splitting by traffic assumes every request costs the same, which hides the very differences you need to find. **C.** A blanket cap changes behavior for every account before anyone knows which ones drive the increase. **D.** Switching models changes cost and quality everywhere without finding out what caused the increase. ## Agents and Workflows: what must happen on every run? Two single-response items. The first is the compliance case the Agent SDK's hooks exist for: a step the model usually performs is not a step that always happens, and a compliance team that accepts no probabilistic control has ruled out every option that is still an instruction. The second is a context problem disguised as a runtime problem. Fanning the documents out to subagents, each with its own context and returning only a summary, fixes both symptoms at once. An external store is the closest miss: the findings survive, yet a single agent still reads every document, slowly. Question 6 · Domain 1 · single response · written for this article A Claude Agent SDK coding agent must validate every file write against a schema. The prompt instruction to do so was skipped in 6 percent of runs, and compliance rejects probabilistic controls. What meets this? - **A.** An instruction repeated at the top and bottom of the system prompt and in CLAUDE.md. - **B.** A file-write hook that runs the validator and rejects any failing write. - **C.** A reviewing subagent that checks each edit before the changes are committed. - **D.** A top-tier model that skips fewer steps. **Show the answer and the reason for every option** Answer: B **A required step belongs in a hook.** Objective O02, Agent Construction with Claude. **A.** Repeating the instruction may cut the miss rate, but the model still decides whether to follow it. **B (correct).** Correct. The hook runs in code on every write and rejects failures, so the check never depends on the model. **C.** A reviewing subagent is another model making a choice, so it is still a probabilistic control. **D.** A stronger model may skip less often, but it still decides for itself whether to run the check. Question 7 · Domain 1 · single response · written for this article A due-diligence agent reads about 300 documents in one session. Early findings drop out of the report once the window fills, and a run takes four hours. Which pattern fixes both problems? - **A.** Fan the work out to subagents that return summaries. - **B.** Save each document's findings to an external store as the agent goes. - **C.** Move to a graph-based framework that manages long context for the agent. - **D.** Ask the agent to keep its reasoning brief for each document. **Show the answer and the reason for every option** Answer: A **Isolate context per subagent and run in parallel.** Objective O03, Agent Patterns and Frameworks. **A (correct).** Correct. Each subagent reads its batch in a separate context and sends back a summary, and the batches can run in parallel. **B.** Saved findings survive, but one session still reads all 300 documents, so the window fills and the run stays slow. **C.** Frameworks run on the same model and window, so switching does not stop the window from filling. **D.** Shorter reasoning saves a little space, but 300 documents still overflow one window and the run stays slow. ## Security and Safety: what reduces the exposure in the logs? One select-two item on a domain worth 8.1% of the exam. The exposure is not the model call but the copy of every prompt and completion that hundreds of staff can read for two years. The published skill is data leakage prevention and PII handling, and the two options that meet it act on the data and on the audience. The distractors act elsewhere: on the model's output, on the storage medium, on a credential nobody has exposed. Encryption at rest is a real control aimed at a threat the stem never describes. Question 8 · Domain 7 · select two · written for this article A claims assistant's prompts include names, birth dates and medical notes. Each prompt and completion is logged in full for two years to a dashboard 300 staff can open. Which two changes reduce the exposure? (Select two.) - **A.** Add a system prompt rule against repeating personal details. - **B.** Redact personal identifiers before prompts and completions are logged. - **C.** Encrypt the log storage at rest and leave access unchanged. - **D.** Restrict the dashboard to roles that need it and record who views logs. - **E.** Rotate the Claude API key and store it in a secrets manager for the service. **Show the answer and the reason for every option** Answer: B and D **Minimize stored PII and restrict who can read it.** Objective O19, AI Application Security. **A.** The prompts themselves contain the personal data and are logged in full, so a rule about replies changes nothing there. **B (correct).** Correct. Redaction keeps raw names, dates and medical notes out of the logs, so the dashboard never holds them. **C.** Encryption at rest protects the disks, but anyone with dashboard access still reads the data in full. **D (correct).** Correct. Role-based access and an access record limit who can open the logs and show who did. **E.** Key rotation protects the credential. The logs still hold raw personal data that 300 staff can open. ## Tools, MCPs and output handling: where do data, identity and shape get decided? Two single-response items from domains that together carry 21.6% of the paper. The MCP item is a transport decision: where the data lives, where credentials may live and whose identity each query must carry settle the choice between a local process and a remote server; the closest miss authenticates the server when the constraint was the person. The output item is the structured-output contract in miniature: a schema through a forced tool call, validation before insert and a retry path. Question 9 · Domain 8 · single response · written for this article Staff will query a records system through an MCP server from Claude Desktop. It runs only in the data center, laptops hold no credentials, and queries must use each user's identity. Which deployment fits? - **A.** A remote MCP server in the data center that runs as one service account. - **B.** A stdio server on each laptop using a shared credential over the VPN. - **C.** A stdio server on each laptop reading a nightly local export. - **D.** A remote MCP server hosted in the data center over streamable HTTP, with per-user sign-in. **Show the answer and the reason for every option** Answer: D **Match the transport to where data and identity live.** Objective O24, MCP Server Development. **A.** A shared service account authenticates the server, not the person, so no query runs under the user's own identity. **B.** A stdio server runs on the laptop, so the shared credential would sit on every machine, which is ruled out. **C.** A nightly export puts a copy of the records on every laptop, and no query uses the user's own identity. **D (correct).** Correct. Hosting the server next to the records, with per-user sign-in, keeps credentials off laptops and ties each query to a person. Question 10 · Domain 6 · single response · written for this article Claude extracts incident reports as JSON for a nightly load. About 3 percent open with a sentence or have an invalid severity, crashing the job at the first bad record. Which approach loses no reports? - **A.** Strip any text outside the first and last braces before the JSON reaches the parser. - **B.** Instruct the model to return only JSON with the allowed severity values. - **C.** Catch insert errors and skip each malformed record. - **D.** Require a tool call with a severity enum in its schema, then validate and retry. **Show the answer and the reason for every option** Answer: D **Constrain the shape, validate it, retry failures.** Objective O18, Output Handling. **A.** Stripping text fixes a leading sentence, but an invalid severity still reaches the database and can crash the job. **B.** An instruction makes good output more likely but enforces nothing, so some records will still be malformed. **C.** Skipping a malformed record keeps the job running but loses that report, which the stem rules out. **D (correct).** Correct. The schema and enum fix the shape and values, and validation with retry recovers the rest without losing a report. ## How to score these CCDV-F questions: the miss map Score exactly: a select-two item counts only when both letters match. Then write each miss into its domain row rather than adding up a total, because ten items cannot estimate a scaled score. What they can do is point. One miss in a domain means reread the skill named in that row in the official guide. Two or more means the domain link, which opens the free runner's untimed review filtered to that domain, before you sit the full timed paper. | Domain | Items | Your misses | Objective to reread | Practise the domain | | --- | --- | --- | --- | --- | | D1 Agents and Workflows | 2 | ___ of 2 | O02 Agent Construction with Claude; O03 Agent Patterns and Frameworks | [Domain 1 in the free mock](https://credfarmer.com/practice/ccdv-f?domain=1) | | D2 Applications and Integration | 3 | ___ of 3 | O06 Claude API Mechanics; O07 Software Engineering Foundations; O09 Configuration Management | [Domain 2 in the free mock](https://credfarmer.com/practice/ccdv-f?domain=2) | | D5 Model Selection and Optimization | 2 | ___ of 2 | O12 LLM Fundamentals; O15 Cost and Token Management | [Domain 5 in the free mock](https://credfarmer.com/practice/ccdv-f?domain=5) | | D6 Prompt and Context Engineering | 1 | ___ of 1 | O18 Output Handling | [Domain 6 in the free mock](https://credfarmer.com/practice/ccdv-f?domain=6) | | D7 Security and Safety | 1 | ___ of 1 | O19 AI Application Security | [Domain 7 in the free mock](https://credfarmer.com/practice/ccdv-f?domain=7) | | D8 Tools and MCPs | 1 | ___ of 1 | O24 MCP Server Development | [Domain 8 in the free mock](https://credfarmer.com/practice/ccdv-f?domain=8) | **Figure:** Four steps from answering the ten items cold to acting on the misses by domain - 1 · Answer all ten cold · Commit to a letter before any reveal - 2 · Count misses by domain · One row per domain in the table - 3 · One miss: reread the skill · The objective named in that row - 4 · Two or more: run the filter · The domain link, untimed, then timed A Cred Farmer routine for a ten-item set. It produces a reading list, not a readiness verdict. ### The wrong option is usually a bigger knob Across these ten, the most tempting distractor makes an existing number larger: a longer cache lifetime, more threads, a higher tier, a stricter instruction. The key changes what breaks. Before you pick, ask whether the option alters the mechanism or only its size. The set pairs with the [two-week CCDV-F study plan](https://credfarmer.com/blog/two-week-study-plan-ccdv-f), which schedules the domains in weight order, and the [CCDV-F cheat sheet](https://credfarmer.com/blog/ccdv-f-cheat-sheet), whose rules these items exercise. The alternative, a memorised answer key, is covered in [what Claude certification exam dumps actually cost you](https://credfarmer.com/blog/claude-certification-exam-dumps). The [CCDV-F](https://credfarmer.com/certifications/claude-certified-developer-foundations) blueprint sets the weights used here. Checked against the official CCDV-F Exam Guide v1.0 (July 2026) on 17 September 2026. ## Key takeaways - **Ten original items, six domains, by weight.** Applications and Integration gets three because it is a third of the exam; the two smallest domains live in the full mock. - **Answer cold, then reveal.** Reading the reasons before committing turns a diagnostic into a reading exercise. - **Score by domain, not by total.** Ten items cannot estimate the scaled score; a miss pattern in one domain can name the skill to reread. - **Distrust the bigger knob.** Longer, more, higher and stricter are the shape of most distractors here; the key changes the mechanism. - **Read the constraints as a checklist.** Every distractor in the MCP and security items fails at least one stated constraint; the key fails none. ## Now sit the full 53 under a clock The free CCDV-F mock is 53 timed items across all eight domains with a reason for every option, no account needed. Signed in, the account adds 5 aligned timed forms, 265 items, plus drills by objective. Nothing reports a scaled score or a pass probability. [Start the free CCDV-F mock](https://credfarmer.com/practice/ccdv-f) Questions ## Frequently asked Short answers to the questions this post leaves open. **Are these real CCDV-F exam questions?** No. All ten were written fresh for this page from the published CCDV-F Exam Guide v1.0 and its domain skills, and none is drawn from, or paraphrased from, any exam form or any gated Cred Farmer form. Anthropic keeps its live items confidential; a page offering CCDV-F exam questions that claims otherwise is selling a breach. **How many questions are on the CCDV-F exam?** The official guide sets 53 items in 120 minutes across eight domains, mixing single-answer and multiple-response items, with every multiple-response stem stating how many options to select. The pass mark is a scaled 720 on a 100 to 1,000 scale; the fee is $125 per attempt before partner-tier discounts. **Is there a free CCDV-F mock exam?** Yes. The Cred Farmer runner at /practice/ccdv-f sits 53 original items in 120 minutes with no account, allocated across the eight domains by official weight, and explains every option after you submit. It reports a raw count by domain, never a scaled score, a pass verdict or a percentile. **Where can I find CCDV-F sample questions?** Three places, all free: the illustrative samples inside the official exam guide, the six open items on the Cred Farmer certification page, and the ten worked items here. All three follow the same eight-domain blueprint; only the guide is official. The retired official practice exam has not been replaced. **How should I score myself on these CCDV-F questions?** Count an item right only when your letters match the key exactly, so a select-two item with one correct pick is a miss. Write the misses into the map by domain and act on the row, not the total. Ten items say nothing about the scaled score, and no practice percentage converts to it. Keep reading ## Related posts Article ### CCAO-F worked scenarios: ten practice items across the seven Associate domains Ten CCAO-F worked scenarios written to Exam Guide v1.0: original business items across all seven domains, the key, and why every wrong option fails. Read the post → Article ### Ten CCAR-P architecture scenarios explained across the seven Professional domains Ten CCAR-P architecture scenarios explained against Exam Guide v1.0: original items across all seven domains, the key, and why every wrong option fails. Read the post → Guide ### Claude certification sample questions, explained Six original Claude certification sample questions with worked explanations, the official format, clearly labelled mock data, and a practical reading method. Read the post → Not affiliated with, or endorsed by, Anthropic or Pearson VUE. Details are summarised from publicly published program information and can change. Always confirm against the official exam guide before booking.