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| Section | Weight | Objectives |
|---|---|---|
| Workflow Integration and Solution Design | 16% | - Communicating Claude's value and limitations - Analyzing requirements and use cases - Integrating Claude into existing workflows - Research, planning, and process optimization - Solution design and iteration |
| Troubleshooting and Optimization | 10% | - Adjusting approaches based on feedback and results - Optimizing workflows for efficiency and effectiveness - Diagnosing underperforming prompts and outputs |
| Prompting and Task Execution | 14% | - Creating effective prompts - Task decomposition - Adapting prompting strategies to task types - Iterating prompts to improve output |
| Configuration and Knowledge Management | 12% | - Managing uploaded knowledge and connectors - Configuring Claude Projects - Managing instructions and knowledge sources - Maintaining configuration and knowledge sources |
| Governance, Risk, and Responsible Use | 15% | - Data sensitivity, privacy, and regulatory considerations - Organizational AI governance and policies - Identifying appropriate and inappropriate AI use cases - Ethical and responsible AI use |
| Product and Model Selection | 12% | - Balancing quality, speed, and cost - Managing context limitations and memory - Selecting Claude models - Selecting appropriate Claude product features |
| Output Evaluation and Validation | 21% | - Evaluating output accuracy and completeness - Determining when human review or verification is required - Editing, adapting, and refining outputs - Fact-checking and validation - Identifying hallucinations, inconsistencies, and bias |
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NEW QUESTION # 103
You are reviewing Connector setups that colleagues have proposed for various tasks.
Which two Connector setups represent safe and appropriate uses? (Select two.) Each correct answer presents a complete solution.
Answer: A,E
Explanation:
Under the objective Manage uploaded knowledge and connectors (e.g., Google Drive, Gmail) , establishing data connectors requires adhering to the principle of least privilege, strict scope boundary management, and robust data classification.
Option B is an authorized, safe integration: connecting Claude to an approved, bounded project management workspace with explicit scope controls allows the model to summarize tasks and sprint updates safely. Option D is an ideal read-only integration, granting access to public documentation and reference repositories where confidential data leakage risks are zero. Conversely, connecting AI tools to core payroll infrastructure (Option E) or sensitive personnel/HR databases (Option A) introduces severe compliance, privacy, and unauthorized access liabilities. Linking personal cloud storage repositories containing unvetted mixed personal data (Option C) violates data governance standards by risking unintentional exposure of private files.
NEW QUESTION # 104
You are using Claude to redesign an employee onboarding workflow and must complete the high-level decomposition steps before specifying detailed artifacts.
Which two decomposition steps must be completed BEFORE specifying exact email content and the schedule? (Select two.) Each correct answer presents part of the solution.
Answer: C,D
Explanation:
Under the objective Apply task decomposition techniques to structure complex requests , complex business problems must be decomposed hierarchically-from macro objectives down to granular operational artifacts.
Before generating low-level execution components such as scheduled email templates or individual checklists, the architect must first establish the high-level structure. This entails defining the overall strategic objective of the program (Option D) to establish success metrics, and identifying the sequential lifecycle phases (e.g., Pre-boarding, Day 1, Week 1, 30-60-90 days) of the onboarding journey (Option B). Once the overarching framework and chronological phases are clearly defined, prompt engineers can systematically task Claude with drafting the supporting content for each specific phase. Piloting (Option A) and full rollout (Option E) occur downstream after artifact creation, while budgetary negotiations (Option C) are outside workflow decomposition.
NEW QUESTION # 105
A project manager is transforming a Claude-generated draft into a polished board memo. The board reads the memo before the meeting and expects it to be scannable, factually verified, and consistent with the organization's standard terminology.
Which set of refinements is most appropriate?
Answer: D
Explanation:
Under the objective Edit, adapt, refine, and compare the output generated by Claude model(s) for the intended audience (Domain 2: Output Evaluation and Validation), preparing deliverables for executive boards requires comprehensive structural, linguistic, and factual refinement.
Option A covers all four essential post-generation refinement criteria: applying standardized heading hierarchies for visual navigation, condensing prose to maximize executive scanability, aligning terminology with enterprise glossaries, and rigorously validating every metric and claim against primary source records.
Expanding narrative sections unnecessarily (Option B) reduces scanability for board members. Ignoring heading structure and vocabulary alignment (Option C) produces an unpolished deliverable. Relying blindly on the model's internal factual correctness without external verification (Option D) introduces governance and hallucination risks into board-level decisions.
NEW QUESTION # 106
A product manager is using Claude to ideate options for a new self-service portal. The team needs breadth before narrowing and will evaluate trade-offs across the options in a separate session.
Which prompting strategy fits this stage?
Answer: C
Explanation:
Answer C is correct. The team is in a divergent ideation stage, where the objective is to explore a broad range of possibilities before selecting or prioritizing an approach. Claude should therefore generate multiple genuinely distinct portal options and identify the relevant benefits, limitations, dependencies, and trade-offs of each. The prompt should explicitly prevent premature selection of a single recommendation because evaluation and narrowing will occur in a separate session.
Option A introduces early feasibility ranking, which can anchor the team on familiar or easily implemented ideas before it has considered the full solution space. Option B immediately narrows the work to one recommendation and directly conflicts with the stated need for breadth. Option D generates several options but then asks Claude to identify a leader, which can similarly bias the team's later evaluation toward that candidate.
Separating divergent and convergent thinking improves the workflow. The first round should maximize meaningful variety and make differences between options visible. The later session can apply agreed criteria such as customer value, accessibility, implementation effort, cost, risk, and strategic alignment. Anthropic's prompting guidance emphasizes giving Claude clear success criteria, relevant context, and explicit output requirements. At this stage, success means diverse, comparable alternatives-not a final decision. Anthropic prompting best practices
NEW QUESTION # 107
You are an analyst reviewing a Claude response that addresses two of three required questions and skips the third.
Which prompt element most likely needs strengthening?
Answer: D
Explanation:
Under the objective Identify, diagnose, and resolve issues with underperforming prompts and/or poor outputs , diagnosing incomplete outputs requires mapping the specific failure mode directly to the corresponding prompt component.
When a model reliably answers some inquiries but completely omits another, the root cause is typically prompt ambiguity or buried instructions within dense prose. Strengthening the core task statement by explicitly enumerating the required deliverables (e.g., using numbered lists or tagged XML blocks like < question_1 > , < question_2 > , < question_3 > ) and mandating a complete response for each item (Option D) provides clear structural constraints that prevent omissions. Adding generic background context (Option A), changing persona framing (Option C), or relaxing output formatting constraints (Option B) fails to address the underlying instruction-following issue.
NEW QUESTION # 108
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