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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configuration and Knowledge Management | 12% | - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Create effective system-level instructions - Manage uploaded knowledge and connectors |
| Topic 2: Workflow Integration and Solution Design | 16% | - Analyze requirements and use cases - Use Claude for research, planning, and process optimization - Support solution design through iteration - Integrate Claude into existing workflows and communicate its value and limitations |
| Topic 3: Troubleshooting and Optimization | 10% | - Identify and diagnose issues with underperforming prompts or poor outputs - Adjust approaches based on feedback and results - Optimize workflows for efficiency and effectiveness |
| Topic 4: Output Evaluation and Validation | 21% | - Identify hallucinations, inconsistencies, and biases in responses - Apply fact-checking and validation techniques - Organize and curate information and select appropriate output formats - Edit and adapt outputs for the intended audience - Determine when human review or additional verification is required - Evaluate Claude-generated outputs for accuracy and completeness |
| Topic 5: Product and Model Selection | 12% | - Select appropriate Claude product features - Differentiate between Claude model types - Align model selection with task requirements - Manage context limitations and memory |
| Topic 6: Prompting and Task Execution | 14% | - Apply task decomposition techniques to structure complex requests - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks - Adapt prompting strategy by task type |
| Topic 7: Governance, Risk, and Responsible Use | 15% | - Apply data sensitivity, regulatory, and privacy considerations - Identify appropriate and inappropriate use cases - Follow organizational AI policies and governance standards - Understand ethical implications of Claude use |
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NEW QUESTION # 147
You are a business analyst evaluating a Claude-generated business case against the agreed acceptance criteria.
Which is the correct order of evaluation steps?
(1) Compare the business case with the source data and required topics.
(2) Document gaps and inaccuracies for follow-up or correction.
(3) Restate the acceptance criteria for the business case.
(4) Decide whether to use the business case, iterate, or escalate.
(5) Read the business case from beginning to end to form an initial impression.
Answer: B
Explanation:
Answer B is correct. Evaluation begins by restating the agreed acceptance criteria (3), because the reviewer needs an explicit standard before judging the business case. The reviewer then reads the document from beginning to end (5) to understand its argument, scope, and apparent completeness. After that initial pass, the reviewer performs an evidence-based comparison against the source data and required topics (1). Discovered omissions, inaccuracies, and criterion failures are documented for correction or follow-up (2). Only when those findings are available should the reviewer decide whether the business case can be used, needs another iteration, or must be escalated (4). The sequence is therefore 3, 5, 1, 2, 4. Option A compares details before completing the holistic reading; Option C reads before re-establishing the evaluation standard; Option D starts detailed comparison without a clear rubric. Anthropic's evaluation guidance states that successful Claude applications begin with specific, measurable, achievable, and relevant success criteria and normally require multidimensional evaluation. It also emphasizes task-specific tests and clear rubrics. Applying that logic to a business document means establishing the criteria first, gathering evidence second, recording defects third, and making the disposition decision last. Anthropic evaluation guidance
NEW QUESTION # 148
A knowledge worker is explaining the purpose of an organizational AI governance framework to a colleague.
Which description is most accurate?
Answer: C
Explanation:
Under the objective Follow organizational AI policies and governance standards , an enterprise AI governance framework establishes the policies, guardrails, and operational standards necessary for safe, consistent, and accountable AI adoption across business units.
Option A provides the comprehensive definition: it outlines sanctioned AI platforms and models, specifies data classification rules (what data tiers may or may not be ingested), mandates human-in-the-loop review criteria for high-impact outputs, and provides clear escalation/reporting paths for unintended behaviors or security incidents. In contrast, financial license catalogs (Option B) represent procurement tools, training requirements (Option C) cover only onboarding logistics, and narrowing governance purely to mandatory legal mandates while excluding daily workflows (Option D) fails to address organizational risk and daily operational quality.
NEW QUESTION # 149
A communications manager is drafting a prompt for Claude to produce a quarterly newsletter for store managers in three regions. The agreed key messages, regional details, and a prior newsletter the team liked are all available.
Which prompt approach is most likely to produce a usable first draft?
Answer: B
Explanation:
Under the objective Create effective prompts for business and technical tasks , Anthropic's core prompt engineering principle emphasizes being explicit, direct, and providing complete structural constraints rather than relying on implicit document matching.
Option D establishes all essential prompt components directly within the prompt itself: explicitly defining the target audience (store managers), geographic scope (three regions), length constraints, tone guidelines, and the core messaging points, while treating the historical newsletter as a calibrated few-shot tone reference. This explicit framing eliminates ambiguity and prevents the model from copying obsolete structure or irrelevant sections from the historical document. In contrast, Option A relies excessively on broad pattern-matching against an attachment without providing explicit parameter boundaries in the prompt body. Option B lacks structural and tonal detail, while Option C delegates tone and length decisions entirely to the model.
NEW QUESTION # 150
When refining a Claude output that does not meet expectations, which iterative refinement step should be performed first?
Answer: B
Explanation:
Answer D is correct. Iterative refinement should begin by diagnosing the current output against the original requirements. The reviewer must identify specific weaknesses such as missing information, unsupported claims, incorrect tone, poor organization, excessive length, or failure to follow the requested format. This diagnosis provides evidence for deciding what must change in the prompt.
After identifying the weaknesses, the reviewer can modify the prompt to address them, which corresponds to Option C. The revised prompt is then submitted and the resulting output captured, as described in Option A.
Finally, the new output is compared with the original criteria to determine whether the revision improved performance, as stated in Option B. The logical sequence is therefore D, C, A, and B.
Beginning with prompt modification before diagnosing the failure encourages random changes and makes it difficult to determine which revision produced an improvement. Similarly, a new output cannot be submitted or evaluated before a targeted revision has been created. Anthropic's guidance recommends defining clear success criteria, evaluating results against those criteria, and using a structured self-correction process:
generate a draft, review it, and then refine it based on identified deficiencies. Effective iteration is therefore diagnostic and evidence-based rather than trial and error. Anthropic prompting best practices
NEW QUESTION # 151
A knowledge worker used the Google Drive connector and asked Claude to summarize a recently revised policy document. The summary reflects the prior version of the document, not the revision saved three hours earlier.
Which factor most likely explains this?
Answer: B
Explanation:
Answer D is the intended answer. A connected knowledge source may temporarily return an earlier document version when its searchable index has not yet processed a recent revision. The three-hour interval strongly points to synchronization or indexing latency rather than a reasoning or prompting failure. The worker should verify the document's modification time in Google Drive, open the cited source, retry the retrieval, and, if necessary, provide the document directly by URL.
Option A claims that the old version remains fixed for the entire chat session, which is not an established connector rule. Option B invents a separate permission group without supporting evidence; permissions ordinarily determine whether the user can access a file, not which historical version is visible. Option C is also unsupported because Claude does not normally choose an obsolete version merely because it is longer.
However, this question reflects an older indexed-connector model. Anthropic's current documentation states that Google Docs added directly to chats or private Projects synchronize from Google Drive and should provide the latest version. Therefore, D remains the best answer among the choices and is likely the expected exam answer, but the item should be reviewed if it is intended to test current Claude behavior. Anthropic:
Google Workspace connectors
NEW QUESTION # 152
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