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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 10% | - Identify causes of poor or unexpected outputs - Diagnose context and performance issues - Adjust prompts and configuration to improve results |
| Configuration and Knowledge Management | 12% | - Manage knowledge sources and context - Maintain consistent system-level behavior - Configure Claude Projects with instructions |
| Governance, Risk, and Responsible Use | 15% | - Understand limitations and ethical boundaries - Apply responsible AI principles and policies - Manage data sensitivity and privacy risks |
| Workflow Integration and Solution Design | 16% | - Plan end-to-end Claude-augmented workflows - Design AI-assisted processes and solutions - Integrate Claude into existing business workflows |
| Product and Model Selection | 12% | - Match model capabilities to task requirements - Understand model differences and use cases - Select appropriate Claude product features |
| Prompting and Task Execution | 14% | - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks - Apply task decomposition to structure complex requests - Adapt prompting strategies by task type |
| Output Evaluation and Validation | 21% | - Evaluate outputs for accuracy, completeness, and consistency - Apply fact-checking and validation methods - Detect hallucinations, biases, and inconsistencies - Determine when human review is required |
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88. Frage
You are a marketing manager deciding what to include in custom instructions for a writing-focused Project.
Which two items belong in the custom instructions? (Select two.)
Each correct answer presents a complete solution.
Antwort: D,E
89. Frage
A finance manager must select a Claude feature for a task that requires deterministic calculations across a multi-tab spreadsheet.
Which selection best fits the requirement?
Antwort: B
Begründung:
Code Execution is the appropriate feature because it can run Python or shell-based computation in a sandboxed environment, process uploaded files, perform complex calculations, and generate analytical outputs. For a multi-tab spreadsheet, Claude can use code to read each worksheet, apply defined formulas or transformation logic, reconcile values, and return results that can be reproduced and inspected.
A normal chat response can describe calculations but does not necessarily execute them. Research mode is designed to gather and synthesize information from sources rather than serve as the primary calculation engine for an uploaded workbook. An Artifact can display or preserve an output, but the Artifact surface alone is not the computational mechanism.
Code execution improves reproducibility, but it does not guarantee that the formulas, assumptions, or source data are correct. The finance manager must review the generated code, validate important totals against known values, test edge cases, and reconcile outputs with the workbook's business rules. Anthropic's documentation explicitly states that Code Execution can analyze data, process uploaded files, perform complex calculations, and create visualizations in a secure sandbox. Therefore, D is the only feature selection aligned with deterministic spreadsheet computation. Anthropic's Code Execution documentation
90. Frage
You are optimizing a recurring Claude workflow and must complete the diagnostic steps before changing the workflow.
Which two diagnostic steps must be completed BEFORE changing the recurring workflow? (Select two.) Each correct answer presents part of the solution.
Antwort: D,E
Begründung:
Under the objective Identify, diagnose, and resolve issues with underperforming prompts and/or poor outputs , workflow optimization must be rooted in evidence-based diagnostics before making modifications to system instructions or prompt chains.
The diagnostic phase requires two prerequisite steps: establishing a quantitative baseline by measuring quality metrics, latency, token spend, and human intervention frequency across recent historical runs (Option D), and conducting a bottleneck analysis to pinpoint the exact sub-steps responsible for performance degradation, excessive token cost, or quality defects (Option B). Implementing changes without these baseline diagnostics leads to blind iterations. Deployment (Option C) and SOP updates (Option E) are downstream execution phases, while leadership notifications (Option A) occur after solutions are verified.
91. Frage
An analyst has been asked to compute summary statistics from an uploaded sales data file and produce a chart for a weekly report.
Which output approach best fits the task?
Antwort: D
Begründung:
Under the objective Organize and curate information for optimal outputs and select appropriate output formats , quantitative data analysis and visual charting require deterministic tooling rather than probabilistic text generation alone.
Large Language Models can occasionally make arithmetic errors when calculating summary statistics directly over raw text tokens in large files. Leveraging Claude's built-in Code Execution (such as Python in Artifacts or Analysis Tool) allows the model to run exact programmatic calculations (mean, median, variance) across complete datasets and render visualization charts (Option D). Furthermore, adhering to validation best practices by checking computed figures against source data ensures factual integrity. Options A, B, and C fail standard analytical quality bars by relying on unverified estimates, generating incomplete placeholders, or omitting essential metrics and visual deliverables.
92. Frage
You are handling a document containing mixed-sensitivity content before using it with Claude.
Which data-handling step should be performed first?
Antwort: A
Begründung:
Under the objective Apply data, privacy sensitivity, regulatory policies, and privacy considerations , responsible data management follows a strict, sequential security lifecycle when handling enterprise data for AI tasks.
Before any redaction, sanitization, or masking can occur, the user must first classify the document's data assets and systematically identify which elements constitute sensitive data (Option B)-such as Personally Identifiable Information (PII), Protected Health Information (PHI), or confidential corporate financial figures.
Without establishing data classification boundaries, redaction (Option A) becomes incomplete and error- prone. Only after identifying and classifying sensitive fields can one properly redact them (Option A), conduct a quality assurance/peer review (Option D), and ultimately submit the sanitized payload to Claude (Option C).
93. Frage
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CCAO-F Exam Fragen: https://www.zertfragen.com/CCAO-F_prufung.html