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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Configuration and Knowledge Management | 12% | - Create effective system-level instructions - Maintain and update configurations - Configure Claude Projects with instructions and knowledge sources - Manage uploaded knowledge and connectors |
| Topic 3: Prompting and Task Execution | 14% | - Create effective prompts for business and technical tasks - Apply task decomposition techniques to structure complex requests - Adapt prompting strategy by task type - Iterate prompts to improve output quality |
| Topic 4: Workflow Integration and Solution Design | 16% | - Analyze requirements and use cases - Integrate Claude into existing workflows and communicate its value and limitations - Use Claude for research, planning, and process optimization - Support solution design through iteration |
| Topic 5: 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 |
| Topic 6: Output Evaluation and Validation | 21% | - Edit and adapt outputs for the intended audience - Evaluate Claude-generated outputs for accuracy and completeness - Apply fact-checking and validation techniques - Identify hallucinations, inconsistencies, and biases in responses - Organize and curate information and select appropriate output formats - Determine when human review or additional verification is required |
| Topic 7: Governance, Risk, and Responsible Use | 15% | - Apply data sensitivity, regulatory, and privacy considerations - Identify appropriate and inappropriate use cases - Understand ethical implications of Claude use - Follow organizational AI policies and governance standards |
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NEW QUESTION # 89
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: B,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 # 90
You are a process consultant integrating Claude into an existing weekly workflow.
Which is the correct order of integration steps?
(1) Pilot the integrated workflow with a small group and gather feedback.
(2) Document the current workflow steps, owners, and decision points.
(3) Update the documented workflow and roll it out to the broader team.
(4) Identify the steps where Claude can augment work and where humans must remain.
(5) Define the inputs Claude needs, the outputs Claude returns, and the hand-offs around each step.
Answer: B
Explanation:
Under the objective Integrate Claude into existing workflows to augment or redesign workflows , successfully incorporating AI into established business processes follows a structured systems engineering and change management lifecycle.
The sequence begins with baseline process mapping: documenting current as-is operational steps, role owners, and governance checkpoints (Step 2). Next, practitioners perform task decomposition to identify high- leverage opportunities for Claude augmentation while explicitly designating where human judgment must remain (Step 4). Once target touchpoints are identified, the technical and operational interface must be specified: defining the exact inputs, prompt structures, expected outputs, and hand-off protocols (Step 5).
Before organization-wide adoption, the redesigned workflow is piloted with a representative cohort to gather empirical feedback and address friction points (Step 1). Finally, documentation and standard operating procedures (SOPs) are finalized for broad rollout (Step 3). This establishes the order 2, 4, 5, 1, 3 .
NEW QUESTION # 91
You are an analyst working on a one-off complex problem that genuinely requires multi-step reasoning over an extended chain of thought.
Which model is best suited to this work?
Answer: B
Explanation:
Among the choices provided, Opus is the appropriate model for a complex, one-off problem requiring sustained, multi-step reasoning. Opus models are designed for advanced analysis, demanding knowledge work, complex tool use, and long-horizon tasks. The additional capability is justified because the workload explicitly prioritizes reasoning quality rather than minimum latency or cost.
Option A incorrectly treats lightweight models as universally preferable. Haiku is optimized for speed and cost-sensitive, straightforward workloads, but that does not make it the best choice for every complex problem. Option B ignores genuine capability and reasoning differences between model tiers. Option D is false because the Claude lineup includes models designed for difficult reasoning tasks.
The current Claude portfolio has evolved and now includes additional high-capability models, but Opus remains the strongest valid selection among the listed answers. In production, the analyst should test representative cases and compare accuracy, latency, and cost rather than choosing solely by tier name. For this explicitly complex one-off task, however, higher reasoning capability is the dominant requirement.
Anthropic describes Opus as suited to complex analysis, enterprise work, advanced research, and deep reasoning. Anthropic's model-selection guidance
NEW QUESTION # 92
A Claude associate is incorporating reviewer feedback that named two specific issues with a Claude-drafted brief. The rest of the brief was accepted as written.
Which next step is most likely to produce a strong revision?
Answer: C
Explanation:
Under the objective Iterate prompts to improve output quality , maintaining control over revisions requires isolating changes to verified defects while preserving approved content.
When downstream reviewers formally approve the vast majority of an artifact and highlight only two specific deficiencies, the optimal revision approach is surgical: instruct Claude or apply edits to remediate those two exact issues while leaving all approved sections untouched (Option C). Documenting the targeted changes ensures total traceability during subsequent review rounds. In contrast, rewriting the entire deliverable from scratch (Option B) risks introducing regressions into previously accepted sections. Similarly, arbitrarily altering unrelated paragraphs (Option A) or bundling unrequested personal improvements (Option D) creates scope creep and increases reviewer overhead.
NEW QUESTION # 93
You are running a weekly feedback-and-adjustment cycle.
Which is the correct order of cycle steps?
(1) Translate feedback into one or two targeted adjustments for the next cycle.
(2) Run the next cycle and compare results against the prior cycle.
(3) Capture the specific feedback received during the review.
(4) Document what changed, what effect it produced, and any remaining issues.
(5) Decide whether to continue iterating, switch approach, or escalate.
Answer: D
Explanation:
Under the objective Adjust approach based on feedback and results , structured workflow iteration follows a disciplined empirical sequence to guarantee controlled optimization.
The feedback loop begins with intake: systematically capturing concrete, specific feedback and defect observations from the recent review session (Step 3). Next, that feedback is translated into one or two targeted, hypothesis-driven prompt or workflow modifications (Step 1). The practitioner then executes the revised workflow and directly benchmarks the new outputs against the previous baseline (Step 2). After execution, the practitioner documents the exact changes made, the measurable effects observed, and any residual edge cases (Step 4). Finally, the practitioner evaluates the results to determine the strategic direction-whether to perform another iteration cycle, pivot to an alternative prompting approach, or escalate to human stakeholders (Step 5). This establishes the correct operational sequence as 3, 1, 2, 4, 5 .
NEW QUESTION # 94
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