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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Troubleshooting and Optimization | 10% | - Adjust approaches based on feedback and results - Identify and diagnose issues with underperforming prompts or poor outputs - Optimize workflows for efficiency and effectiveness |
| Topic 2: Prompting and Task Execution | 14% | - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks - Apply task decomposition techniques to structure complex requests - Adapt prompting strategy by task type |
| Topic 3: Configuration and Knowledge Management | 12% | - Manage uploaded knowledge and connectors - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Create effective system-level instructions |
| Topic 4: Output Evaluation and Validation | 21% | - 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 - Apply fact-checking and validation techniques - Identify hallucinations, inconsistencies, and biases in responses - Evaluate Claude-generated outputs for accuracy and completeness |
| Topic 5: Product and Model Selection | 12% | - Differentiate between Claude model types - Align model selection with task requirements - Select appropriate Claude product features - Manage context limitations and memory |
| Topic 6: Workflow Integration and Solution Design | 16% | - Integrate Claude into existing workflows and communicate its value and limitations - Support solution design through iteration - Analyze requirements and use cases - Use Claude for research, planning, and process optimization |
| Topic 7: Governance, Risk, and Responsible Use | 15% | - Apply data sensitivity, regulatory, and privacy considerations - Understand ethical implications of Claude use - Identify appropriate and inappropriate use cases - Follow organizational AI policies and governance standards |
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NEW QUESTION # 116
You are a procurement associate decomposing a vendor-evaluation task.
Which dependency ordering reflects sound sequencing?
Answer: B
Explanation:
Option A is correct because vendor evaluation must begin with an agreed decision framework. The organization should first define relevant criteria, measurement methods, mandatory requirements, scoring weights, acceptable evidence, and disqualification conditions. Typical criteria might cover capability, security, compliance, implementation effort, support, total cost, and contractual risk.
Vendor information can then be gathered consistently against the same framework. Claude may help extract evidence from proposals, populate a comparison structure, identify missing information, and calculate scores when the rules are explicitly defined. After the evidence has been validated, the vendors can be scored and ranked. This sequence supports fairness, traceability, and repeatability.
Options B, C, and D reverse or omit essential dependencies. Asking Claude for a recommendation without inputs invites unsupported assumptions. Scoring before defining criteria permits the desired outcome to influence the evaluation framework. Ranking before collecting evidence has no defensible analytical basis.
Anthropic recommends defining specific, measurable, relevant success criteria before building evaluations.
The same principle applies to vendor selection: criteria must precede measurement and judgment.
Therefore, the sound dependency chain is criteria definition, evidence collection, validation, scoring, and ranking. See Anthropic's guidance on defining success criteria and evaluations .
NEW QUESTION # 117
You are evaluating whether a "redesign new-hire onboarding" request should be decomposed before prompting Claude.
Which feature of the request most strongly indicates decomposition will help?
Answer: C
Explanation:
Option B presents a compound assignment with three materially different deliverables: a process map, supporting content, and a measurement plan. Each requires different inputs, reasoning steps, evaluation criteria, and output structures. Decomposing the request allows the team to define the onboarding objective, map the current process, design the future-state workflow, draft the supporting materials, establish success measures, and then integrate the components into a coherent package.
Task decomposition improves control because each intermediate result can be reviewed before it becomes an input to the next stage. It also prevents one large prompt from underdeveloping a component, overlooking dependencies, or blending incompatible formats. For example, measurement criteria should be based on the redesigned process rather than generated independently before the workflow is defined.
Options A, C, and D describe familiar or narrowly bounded work that can reasonably be handled with one structured prompt. Anthropic's workflow guidance recommends breaking complex interactions into unique tasks and using prompt chains when additional structure is needed. Decomposition should therefore be driven by the number of distinct deliverables and their dependencies, not simply by the length of the request.
Anthropic's Claude workflow guidance
NEW QUESTION # 118
You are an operations assistant asking Claude to summarize 200 weekly metric records across multiple regions.
Which output format communicates the data most clearly?
Answer: B
Explanation:
Under the objective Organize and curate information for optimal outputs and select appropriate output formats , selecting the right presentation format is determined by data density, comparability, and target audience utility.
When dealing with a high volume of multi-variable quantitative data (such as 200 metric records across multiple regional cohorts), structured tabular formatting provides the highest visual scanability and cognitive efficiency. Organizing data into a Markdown table with uniform rows, standardized metric columns, and regional sorting (Option D) enables immediate horizontal and vertical cross-comparison, trend spot-checking, and rapid verification. In contrast, narrative prose, regional paragraph briefs, or unstructured bullet points (Options A, B, and C) obscure numerical trends, hide outliers, and create unnecessary reading overhead for operational consumers.
NEW QUESTION # 119
You are evaluating proposed workflow changes against whether they meaningfully improve the workflow.
Which two proposed changes meaningfully improve a recurring Claude workflow? (Select two.) Each correct answer presents a complete solution.
Answer: A,E
Explanation:
Under the objective Optimize workflows for efficiency and effectiveness , meaningful operational improvements must deliver measurable gains in throughput, token efficiency, or output reliability.
Option C provides major efficiency gains by moving recurring reference documentation into a persistent Claude Project knowledge base, eliminating redundant token overhead and manual copy-pasting across dozens of daily chats. Option E provides vital effectiveness and risk mitigation by establishing a standardized human-in-the-loop quality gate, preventing defective or hallucinated outputs from propagating into downstream operational pipelines. In contrast, renaming workspaces (Option A), re-labeling steps for cosmetic readability (Option B), or shuffling documentation headings (Option D) represent superficial administrative edits that do not improve execution speed, cost, or output quality.
NEW QUESTION # 120
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: B
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 # 121
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