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| Section | Weight | Objectives |
|---|---|---|
| Workflow Integration and Solution Design | 16% | - Support solution design through iteration - Use Claude for research, planning, and process optimization - Analyze requirements and use cases - Integrate Claude into existing workflows and communicate its value and limitations |
| Product and Model Selection | 12% | - Manage context limitations and memory - Differentiate between Claude model types - Align model selection with task requirements - Select appropriate Claude product features |
| Governance, Risk, and Responsible Use | 15% | - Apply data sensitivity, regulatory, and privacy considerations - Follow organizational AI policies and governance standards - Understand ethical implications of Claude use - Identify appropriate and inappropriate use cases |
| Configuration and Knowledge Management | 12% | - Maintain and update configurations - Create effective system-level instructions - Manage uploaded knowledge and connectors - Configure Claude Projects with instructions and knowledge sources |
| Troubleshooting and Optimization | 10% | - Optimize workflows for efficiency and effectiveness - Adjust approaches based on feedback and results - Identify and diagnose issues with underperforming prompts or poor outputs |
| Output Evaluation and Validation | 21% | - Identify hallucinations, inconsistencies, and biases in responses - Determine when human review or additional verification is required - Organize and curate information and select appropriate output formats - Apply fact-checking and validation techniques - Edit and adapt outputs for the intended audience - Evaluate Claude-generated outputs for accuracy and completeness |
| Prompting and Task Execution | 14% | - Create effective prompts for business and technical tasks - Apply task decomposition techniques to structure complex requests - Iterate prompts to improve output quality - Adapt prompting strategy by task type |
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NEW QUESTION # 108
A learning specialist is configuring a Claude Project for a recurring course-design workflow.
Which configuration approach best leverages a Skill alongside other Project elements?
Answer: C
Explanation:
Under the objective Configure Claude Projects with instructions and knowledge sources (Domain 5:
Configuration and Knowledge Management), maximizing the utility of Claude Projects involves harmonizing all built-in platform capabilities: custom instructions, knowledge bases, and specialized Skills.
Option B exemplifies an integrated configuration: packaging procedural execution logic into a Project Skill, uploading pedagogical frameworks and curriculum standards to Project knowledge, and authoring system instructions that explicitly define how Claude should utilize the Skill in conjunction with the knowledge repository. In contrast, creating contradictory instructions (Option A) causes prompt collisions and erratic behavior. Disabling skills (Option C) forces repetitive manual prompt engineering in every chat. Omitting supporting reference knowledge and system instructions (Option D) leaves the Project ungrounded and under- configured.
NEW QUESTION # 109
You are a project manager working through a long planning conversation with Claude and must keep the conversation productive as it grows.
Which two practices keep a long planning conversation productive? (Select two.) Each correct answer presents a complete solution.
Answer: B,D
Explanation:
Under the objective Understand, manage context limitations and memory considerations and when to restart, summarize, or persist , managing conversational state across long planning sessions is essential for maintaining output quality and coherence. Large Language Models operate within finite context windows where attention can degrade as extraneous tokens accumulate.
Option B is a best practice because shifting subtopics often dilutes earlier instructions; explicitly restating key constraints and strategic goals ensures the model anchors its attention on active parameters without being distracted by obsolete conversational turns. Option C represents context compression-a core technique where key milestones, agreed parameters, and decisions are consolidated into a dense summary. This reduces token overhead, frees up working memory, and prevents hallucination or drift. Conversely, opening a new thread for every minor question (Option A) fractures contextual continuity, switching topics arbitrarily (Option D) pollutes attention heads, and avoiding summarization (Option E) accelerates context bloat and degrades performance.
NEW QUESTION # 110
A senior project coordinator has been asked to use Claude to produce an end-of-year report covering finance, operations, and customer outcomes. The three areas have separate data owners and separate source documents.
Which decomposition approach is most likely to produce a strong report?
Answer: C
Explanation:
Under the objective Apply task decomposition techniques to structure complex requests , multi-domain deliverables requiring distinct data inputs demand modular, step-by-step composition.
Option A exemplifies best-practice task decomposition: first, establishing the overarching narrative and reporting goals; second, gathering and isolating domain-specific source material; third, executing dedicated, highly focused prompts to draft each detailed section (finance, operations, customer outcomes); and finally, feeding the finalized section drafts into Claude to synthesize a comprehensive, cohesive executive summary.
In contrast, drafting the executive summary before the underlying sections exist (Option B) forces the model to invent conclusions. Dumping all disparate documents into a single monolithic prompt (Option D) risks attention dilution and superficial analysis. Merely concatenating isolated outputs without an overarching executive synthesis (Option C) produces a disjointed final deliverable.
NEW QUESTION # 111
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: A
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 # 112
You received a vague request to "look at our pricing." After discovery, the goal is confirmed: produce a structured competitor-pricing summary the team can act on, not new pricing ideas.
Which strategy best fits the clarified task?
Answer: C
Explanation:
Under the objective Adapt prompting strategies based on task type (e.g., analysis, research, drafting, brainstorming) , prompt architectures must be tailored to the exact analytical objective established during discovery.
Because the clarified objective is to generate an actionable, evidence-based competitor pricing briefing (rather than creative ideation), the workflow demands a structured research and synthesis strategy (Option C). This approach directs Claude to extract concrete pricing data across key competitors, explicitly attribute claims to named source documents or market reports, and transparently state confidence levels for each datapoint.
Divergent brainstorming (Option A) produces speculative ideas when factual market intelligence is needed.
Arbitrarily restricting analysis to a single competitor (Option B) ignores the broader competitive landscape.
Relying on unstructured open conversation (Option D) produces inconsistent formatting unsuitable for executive decision-making.
NEW QUESTION # 113
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