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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Workflow Integration and Solution Design | 16% | - Design AI-assisted processes and solutions - Plan end-to-end Claude-augmented workflows - Integrate Claude into existing business workflows |
| Topic 2: Product and Model Selection | 12% | - Match model capabilities to task requirements - Understand model differences and use cases - Select appropriate Claude product features |
| Topic 3: Prompting and Task Execution | 14% | - Apply task decomposition to structure complex requests - Iterate prompts to improve output quality - Create effective prompts for business and technical tasks - Adapt prompting strategies by task type |
| Topic 4: Configuration and Knowledge Management | 12% | - Maintain consistent system-level behavior - Manage knowledge sources and context - Configure Claude Projects with instructions |
| Topic 5: Output Evaluation and Validation | 21% | - Detect hallucinations, biases, and inconsistencies - Determine when human review is required - Evaluate outputs for accuracy, completeness, and consistency - Apply fact-checking and validation methods |
| 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: Troubleshooting and Optimization | 10% | - Diagnose context and performance issues - Identify causes of poor or unexpected outputs - Adjust prompts and configuration to improve results |
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NEW QUESTION # 134
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: D,E
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 # 135
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 # 136
A knowledge worker is preparing to use the Gmail connector with Claude for the first time.
Which statement most accurately describes the connector's behavior at the user level?
Answer: A
Explanation:
Option D best reflects the controlled, user-authorized behavior expected when Claude works with connected Gmail information. Claude can search and analyze emails that the authenticated user is already permitted to access. It can then use the retrieved information to summarize conversations, identify relevant details, or prepare a proposed reply. The user remains responsible for reviewing and sending that reply.
The connector does not independently authorize Claude to send routine messages merely because they appear low risk, so Option B assigns excessive autonomy. Option C incorrectly describes automatic inbox labeling as the connector's defining behavior. Option A correctly recognizes the read-oriented access model but understates Claude's usefulness: Claude can generate draft reply content even though the final communication remains under the user's control.
Connector access is also bounded by the permissions of the connected account. It does not grant Claude broader access than the user already possesses. This supports the principles of least privilege, explicit authorization, and human control over external actions. Before using the connector, the organization should also confirm that Gmail is an approved data source and that the emails involved are suitable for processing under its data-classification and privacy policies.
NEW QUESTION # 137
You are organizing connected data sources for a team and must complete the planning steps before authorizing any connection.
Which two planning steps must be completed BEFORE authorizing a new Connector? (Select two.) Each correct answer presents part of the solution.
Answer: A,D
Explanation:
Options A and D are correct because Connector authorization creates a security and data-governance boundary. Before connecting a service, the team must confirm that the provider is trusted and approved under organizational vendor-management requirements. It must also determine what data Claude could access, how that data is classified, and whether the proposed users have legitimate permission to use it.
Anthropic explains that Connectors can retrieve data and take actions in connected services. Claude inherits the user's source-system permissions, while custom Connectors may connect to services that Anthropic has not verified. Anthropic therefore advises users to connect only to trusted servers, carefully review requested permissions, minimize unnecessary scopes, and remain aware that connected tools may read, modify, or delete data. These considerations directly support approved-vendor and data-authorization checks.
Training may be necessary before rollout, but it does not have to be completed before the authorization decision itself. Decommissioning legacy Connectors and migrating reports are implementation or lifecycle activities that ordinarily follow approval and transition planning. They do not replace the initial trust, classification, and permission assessment. Therefore, A and D are the required pre-authorization controls. See Anthropic's Connector overview and custom Connector security guidance .
NEW QUESTION # 138
You are a project lead reviewing a teammate's habit of using the same prompt template for every task regardless of type.
Which feedback is most warranted?
Answer: C
Explanation:
Different tasks require different prompting structures, evidence, constraints, and evaluation methods. A research request should define research questions, source requirements, currency expectations, and citation rules. An analytical task should specify the decision to support, relevant data, assumptions, and comparison criteria. Drafting work requires audience, tone, purpose, structure, and length. Brainstorming normally benefits from broader exploration, diversity requirements, and delayed evaluation.
A reusable template can provide a useful baseline, but it should not remain unchanged when task characteristics differ. Options B, C, and D incorrectly assume that uniformity guarantees effectiveness. In practice, excessive rigidity can omit critical instructions or impose an inappropriate structure. A compliance report and an early-stage ideation exercise should not be prompted identically.
Anthropic's prompting documentation covers multiple techniques-including clear instructions, examples, role prompting, structured formats, prompt chaining, and success criteria-because no single technique is optimal for every workload. Anthropic's legal-summarization guidance also demonstrates that prompt details can be adjusted for different levels of technicality, verbosity, and structure. The project lead should therefore standardize reusable components while adapting task-specific objectives, inputs, constraints, and output formats. Anthropic's prompt-engineering overview
NEW QUESTION # 139
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