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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Workflow Integration and Solution Design | 16% | - Integrate Claude into existing business workflows - Design AI-assisted processes and solutions - Plan end-to-end Claude-augmented workflows |
| Topic 2: Configuration and Knowledge Management | 12% | - Configure Claude Projects with instructions - Maintain consistent system-level behavior - Manage knowledge sources and context |
| Topic 3: Prompting and Task Execution | 14% | - Create effective prompts for business and technical tasks - Apply task decomposition to structure complex requests - Iterate prompts to improve output quality - Adapt prompting strategies by task type |
| Topic 4: Troubleshooting and Optimization | 10% | - Identify causes of poor or unexpected outputs - Adjust prompts and configuration to improve results - Diagnose context and performance issues |
| Topic 5: Product and Model Selection | 12% | - Understand model differences and use cases - Select appropriate Claude product features - Match model capabilities to task requirements |
| Topic 6: Governance, Risk, and Responsible Use | 15% | - Manage data sensitivity and privacy risks - Apply responsible AI principles and policies - Understand limitations and ethical boundaries |
| Topic 7: Output Evaluation and Validation | 21% | - Detect hallucinations, biases, and inconsistencies - Determine when human review is required - Apply fact-checking and validation methods - Evaluate outputs for accuracy, completeness, and consistency |
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NEW QUESTION # 11
An analyst is working in a long Claude conversation. The conversation contains roughly 60 turns covering an initial requirements analysis, several rounds of data review, and a current drafting phase. Recent responses have started to drift from the agreed requirements.
Which step most directly addresses the drift while preserving the analyst's progress?
Answer: C
Explanation:
Option D most directly corrects the observed drift while preserving the work already completed. The conversation contains valuable requirements, validated data findings, and drafting decisions, but those elements are distributed across approximately 60 turns. A structured summary consolidates the authoritative working state and brings the most important instructions back into Claude's immediate attention.
The summary should distinguish confirmed requirements from abandoned ideas, record the principal findings from the data review, identify the current draft version, and restate outstanding work. Reasserting that summary as the governing context gives Claude a clearer foundation for subsequent revisions.
Option A assumes that context-window size alone resolves drift. A larger window can retain more tokens, but it does not automatically remove contradictory instructions or emphasize the correct requirements. Option B preserves the draft but discards the reasoning and requirements needed to evaluate it. Option C could support future recurring work, particularly when sources must persist across conversations, but restructuring the workflow into a Project is not the most direct initial response to the current drift.
If the summarized context does not restore output quality, the analyst can start a new conversation using that validated summary and the necessary source materials.
NEW QUESTION # 12
A project lead is evaluating a Claude-generated status report against the project charter. The report will be delivered to a steering committee, which expects accurate status against committed milestones.
Which set of criteria provides the strongest evaluation frame?
Answer: D
Explanation:
Explanation:
NEW QUESTION # 13
You are decomposing a "build a customer journey map" request.
Which is the correct order of decomposed steps?
(1) Identify the touchpoints the customer encounters during each stage.
(2) Define the persona and the journey scope to be mapped.
(3) Capture pain points and opportunities at each touchpoint.
(4) Synthesize the findings into the final journey-map artifact.
(5) Identify the major stages the persona moves through.
Answer: C
Explanation:
The journey must first be bounded by defining the persona and the scope being mapped. Without Step 2, the team does not know whose experience is being analyzed, which objective is relevant, or where the journey begins and ends. It then identifies the major journey stages in Step 5, such as awareness, evaluation, purchase, onboarding, and ongoing use.
Once the stages exist, the team can identify the customer's touchpoints within each stage in Step 1. Pain points, unmet needs, emotional responses, and improvement opportunities can then be recorded against those touchpoints in Step 3. Finally, the validated findings are synthesized into the journey-map artifact in Step 4.
The correct order is therefore 2,5,1,3,4.
Option C identifies stages before establishing the persona and scope. Option D attempts to list touchpoints before defining the stages in which those interactions occur. Both sequences create structural ambiguity.
This decomposition follows dependency ordering: each output supplies the structure needed for the next activity. Anthropic's prompt-chaining guidance supports dividing complex work into sequential stages when intermediate results require inspection or when a defined pipeline improves control. Anthropic's prompt- chaining guidance
NEW QUESTION # 14
You are a refining a prompt over several iterations. The output drifts further from the requested template with each change.
Which step is most appropriate?
Answer: C
Explanation:
Under the objective Iterate prompts to improve output quality , managing prompt development requires maintaining baseline versioning and avoiding cumulative degradation.
When successive prompt revisions introduce drift, unintended behaviors, or progressive degradation away from the target output template, continuing to add modifications on top of an already degraded prompt only exacerbates the issue. The appropriate engineering practice is rollback: reverting immediately to the historical version that yielded the highest quality baseline (Option C) and resuming disciplined, single-variable iterations from that verified state. Discarding all historical prompt versions (Option A) loses valuable context, making multiple erratic modifications simultaneously (Option B) creates further unpredictability, and accepting substandard output (Option D) fails quality assurance standards.
NEW QUESTION # 15
You are reviewing claims about prompt iteration that colleagues have made during recent training.
Which two claims about prompt iteration are accurate? (Select two.)
Each correct answer presents a complete solution.
Answer: A,C
Explanation:
Options C and E are correct because disciplined prompt iteration is an evidence-based improvement cycle.
First, compare the output with the original task requirements and success criteria. Identify a specific weakness, such as missing evidence, excessive length, incorrect tone, poor structure, ambiguous instructions, or failure to follow a required schema. Then make a targeted change addressing that weakness and compare the new output with the previous version using the same evaluation criteria.
Option B changes nothing except the sampled response, so it does not reliably diagnose or repair the prompt.
Option D is false because additional iterations can introduce regressions, conflicting instructions, or unnecessary complexity. Option A proposes an impossible and wasteful stopping rule; there are effectively unlimited alternative phrasings. Iteration should stop when the output meets the established quality threshold, when improvement has plateaued, or when a different model, workflow, tool, or human-editing approach is more appropriate.
Anthropic describes prompt engineering as a cycle of defining success criteria, testing representative cases, refining the prompt, and validating the result. Consequently, targeted modification and criteria-based comparison-not repetition or iteration volume-determine whether the process is productive. See Anthropic' s evaluation framework and prompting guidance .
NEW QUESTION # 16
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