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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configuration and Knowledge Management | 12% | - Maintain consistent system-level behavior - Manage knowledge sources and context - Configure Claude Projects with instructions |
| Topic 2: Troubleshooting and Optimization | 10% | - Adjust prompts and configuration to improve results - Diagnose context and performance issues - Identify causes of poor or unexpected outputs |
| Topic 3: Workflow Integration and Solution Design | 16% | - Design AI-assisted processes and solutions - Integrate Claude into existing business workflows - Plan end-to-end Claude-augmented workflows |
| Topic 4: Prompting and Task Execution | 14% | - Create effective prompts for business and technical tasks - Iterate prompts to improve output quality - Adapt prompting strategies by task type - Apply task decomposition to structure complex requests |
| Topic 5: Product and Model Selection | 12% | - Match model capabilities to task requirements - Select appropriate Claude product features - Understand model differences and use cases |
| Topic 6: Governance, Risk, and Responsible Use | 15% | - Apply responsible AI principles and policies - Understand limitations and ethical boundaries - Manage data sensitivity and privacy risks |
| Topic 7: Output Evaluation and Validation | 21% | - Evaluate outputs for accuracy, completeness, and consistency - Apply fact-checking and validation methods - Determine when human review is required - Detect hallucinations, biases, and inconsistencies |
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NEW QUESTION # 11
You are a marketing manager using Claude to research a new market segment.
Which research step should be performed first?
Answer: D
Explanation:
Under the objective Leverage Claude for research, planning, and process optimization , effective AI- assisted research workflows follow structured problem decomposition principles.
Before interacting with the model or executing information retrieval prompts, the researcher must clearly frame the investigation by defining specific, bounded research questions and target hypotheses (Option D).
Defining explicit dimensions-such as market size, competitor landscape, target customer personas, and regulatory barriers-provides the foundational framework needed to engineer targeted prompts. Submitting open-ended prompts without explicit research objectives (Option B) produces unfocused, verbose outputs.
External validation (Option C) and final report synthesis (Option A) occur downstream after structured research has been executed.
NEW QUESTION # 12
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: A,C
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 # 13
A knowledge worker is explaining context-window basics to a teammate.
Which statement most accurately describes a context window?
Answer: B
Explanation:
Answer B is correct. A context window is the bounded amount of information that a model can consider when generating a response. Depending on the Claude interface or implementation, this can include the current user message, earlier messages in the active conversation, system instructions, uploaded documents, tool results, and other supplied content. The capacity is finite and is normally measured in tokens rather than words or pages.
Option A incorrectly defines the context window as only the information the model considers most relevant.
Relevance selection or retrieval can determine which materials are placed into the window, but the context window itself is the total bounded processing capacity. Option C incorrectly treats it as unlimited cross- session memory. A model does not automatically receive every previous conversation whenever it responds in a different chat. Any available memory or Project knowledge is a separate feature and must be supplied or retrieved into the active context. Option D is also incorrect because users generally do not configure the context-window size independently for each chat.
When a conversation becomes too long or cluttered, the user may need to summarize essential information, remove irrelevant material, or start a focused new conversation. This preserves relevant context and reduces conflicts between current and obsolete instructions. Anthropic: Context windows
NEW QUESTION # 14
You are a senior analyst using Claude to analyze requirements from several stakeholder sources.
Which is the correct order of steps?
(1) Group related requirements and flag conflicts or ambiguities for stakeholder review.
(2) Validate the structured output against the original sources for accuracy and completeness.
(3) Submit the consolidated inputs to Claude with a structured extraction prompt.
(4) Gather and label the source materials so each requirement can be traced.
(5) Document the final requirements set with source traceability and status.
Answer: D
Explanation:
Option D is correct: 4, 1, 3, 2, 5. First, gather and label the source materials so every requirement can be traced to a stakeholder interview, process document, or other authoritative input. Second, organize related material and identify apparent conflicts or ambiguities. This preparation prevents unrelated statements from being blended and highlights issues that Claude should preserve rather than silently resolve.
Third, submit the consolidated material using a structured extraction prompt that defines the requested fields, such as requirement identifier, statement, source, owner, priority, ambiguity, and status. Anthropic's prompting guidance emphasizes clear instructions, contextual information, and explicit output formats.
Fourth, validate Claude's structured output against the original sources. This step is essential because a well- formatted answer can still omit, distort, or combine requirements. Anthropic recommends auditable citations and verification against supporting text, retracting claims that cannot be grounded.
Finally, document the approved requirements set with traceability and resolution status. Options A and C begin analysis or prompting before the sources have been properly gathered and labelled. The missing text in Option B cannot establish a valid alternative, so it has been preserved as missing rather than invented. This sequence combines task decomposition with source-grounded validation. See Anthropic's prompting best practices and hallucination-reduction guidance .
NEW QUESTION # 15
An support representative is configuring a Project for drafting customer-facing apology emails after service outages. The current custom instructions tell Claude to "be empathetic and casual, keep it short, and offer a goodwill credit." The customer-service team has flagged that recent drafts have been too brief, have offered goodwill credits in cases where policy does not allow them, and have used contractions that the brand voice guide prohibits.
Which adjustment best aligns the configuration to the use case?
Answer: B
Explanation:
Under the Claude objective Configure Claude Projects with instructions and knowledge sources , effective project configuration requires replacing vague, conflicting directives with explicit operational boundaries and grounded criteria. In this scenario, the root causes of underperformance are conflicting requirements: the prompt requests a "casual" tone while brand guidelines prohibit contractions, asks Claude to
"keep it short" leading to overly brief outputs, and unconditionally directs it to "offer a goodwill credit" without verifying eligibility criteria.
Option C properly resolves all three deficiencies directly within the project instructions. First, it explicitly operationalizes the tone attributes (empathetic, formal, avoiding contractions) rather than relying on ambiguous descriptors. Second, establishing concrete length constraints (such as minimum paragraph or sentence counts) prevents the model from generating under-scoped drafts. Third, it conditions the business logic-instructing Claude to evaluate goodwill credit awards against the attached policy document in the Project knowledge base. In contrast, relying solely on uploaded knowledge files without aligning custom instructions (Options B and D) leads to prompt collisions, while Option A removes necessary policy guidance altogether.
NEW QUESTION # 16
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