You are designing a solution for a financial services firm that needs to analyze customer support transcripts to extract compliance risks, sentiment, and action items. The solution must process 10,000 transcripts daily with strict accuracy requirements. You are considering whether to use Claude's batch API versus real-time API calls.Which architectural pattern best balances cost, throughput, and accuracy requirements for this scenario?
Answer(s): A
The batch API is specifically designed for high-volume, non-urgent workloads where cost optimization and throughput are priorities. It provides significant cost savings (50% discount) and handles 10,000 daily transcripts efficiently. Real-time APIs maintain their importance for time-sensitive escalations that cannot wait for batch processing windows. This hybrid approach optimizes both cost and compliance outcomes. The other options either misunderstand the capabilities of batch processing or introduce unnecessary complexity. Accuracy differences between batch and real-time APIs are negligible; the difference is latency and cost, not model quality.
MULTIPLE CHOICEYou are running a controlled experiment to compare two prompts and must complete the design steps before executing the experiment.Which two steps must be completed BEFORE running the experiment with random assignment? (Select two.)Each correct answer presents part of the solution.
Answer(s): A,C
A controlled prompt experiment must begin with a falsifiable hypothesis and a predefined primary metric. Option C prevents the team from examining results first and then selecting whichever metric makes the candidate look successful. The metric might measure task accuracy, rubric score, citation validity, escalation rate, latency, cost, or another criterion directly connected to the hypothesis.Option A determines whether the experiment can detect a practically meaningful improvement. The minimum detectable effect expresses the smallest difference worth acting upon, while the power calculation determines the required sample size. Without this step, the experiment may be too small to detect a real improvement or unnecessarily large and expensive.Random assignment should then distribute representative traffic between the control and candidate prompts while controlling model version, retrieval configuration, tool availability, and other confounding variables.Options B and D occur after data collection. Option E follows the completed analysis and decision. The team should also define significance thresholds, stopping rules, guardrail metrics, exclusion criteria, and treatment of repeated observations before launch.Study Guide references/topics: Prompt A/B testing; hypothesis definition; primary metrics; minimum detectable effect; statistical power; random assignment; decision sequencing.
You are selecting a protocol for a single low-latency stateless tool call from a Claude-based assistant to an internal pricing service that already exposes a stable HTTP API.Which integration mechanism is the most appropriate?
A direct call to the existing stable HTTP endpoint is the simplest mechanism that satisfies the stated requirements. The interaction is stateless, requires only one tool invocation, and has a strict latency objective. Adding session management, message-bus translation, or another model-mediated agent would introduce unnecessary network hops, operational dependencies, failure modes, and processing latency.The assistant's tool implementation should validate input parameters, authenticate through a server-side credential mechanism, apply narrowly scoped authorization, set explicit timeouts, and validate the pricing response before returning it to Claude. Credentials must never be supplied by or exposed to the model. Appropriate logging should capture request attribution, endpoint outcome, and timing without unnecessarily recording sensitive data.Anthropic describes the Claude API as a RESTful interface and supports custom tools in which the application executes the requested function or API operation. Claude API Overview, Tool Use OverviewMCP could be justified when standardized discovery or reuse across clients is required, but the scenario already supplies a stable API and does not establish that additional requirement.Study Guide references/topics: Protocol selection; direct API integration; stateless calls; latency minimization; scoped credentials; avoiding unnecessary agentic complexity.
MULTIPLE CHOICEYou are designing a human-in-the-loop validation workflow for a new Claude-based deployment and must complete the design steps before piloting the workflow.Which two steps must be completed BEFORE piloting the workflow with a representative subset of traffic? (Select two.)Each correct answer presents part of the solution.
Answer(s): A,E
The workflow must first identify where human judgment is necessary. Option E applies risk-based oversight by examining each decision's impact and reversibility. High-impact, irreversible, externally binding, privacy-sensitive, or legally consequential actions require stronger review than low-risk draft generation or easily reversible recommendations.After locating those control points, Option A defines how work reaches reviewers. The sampling strategy should specify whether review is universal, random, risk-triggered, confidence-based, or stratified. Escalation criteria should cover policy violations, uncertain outputs, conflicting evidence, sensitive data, failed validation, and cases exceeding the reviewer's authority.Anthropic recommends human confirmation for decisions with meaningful real-world consequences and actions requiring affirmative consent. Computer Use Security ConsiderationsOption B necessarily follows the pilot because findings must exist before design iteration. Reviewer onboarding and operational documentation in Options C and D are important readiness activities, but they follow the core design decisions being tested by this item: where oversight is required and how cases are sampled and escalated.The completed pilot plan should subsequently include trained reviewers, documented procedures, queue capacity, SLAs, audit evidence, and measured inter-reviewer agreement.Study Guide references/topics: Human-in-the-loop design; impact and reversibility; oversight points; sampling; escalation criteria; consequential decisions.
You are reviewing a customer-support agent's configuration. Each candidate tool falls into one of four categories: (1) required to complete defined tasks, (2) frequently used and reduces hand-offs, (3) occasionally useful for unrelated work, (4) speculative future utility.Which categories should typically remain in the agent configuration?
Answer(s): C
Category 1 tools are necessary for the agent to complete its approved responsibilities and must remain. Category 2 tools are also justified when they are regularly used and eliminate predictable hand-offs without expanding the agent beyond its defined operating role.Categories 3 and 4 create capability bloat. A tool that is occasionally useful only for unrelated work does not belong to this agent's responsibility boundary. A speculative tool has no validated requirement and adds attack surface, context consumption, authorization complexity, evaluation burden, and operational dependencies without demonstrated value.Tool inclusion should be based on task traceability: every configured capability should map to a documented user journey, responsibility, permission scope, and evaluation case. Anthropic recommends least privilege so that a successful injection or model error can cause minimal damage. Mitigate Jailbreaks and Prompt InjectionsThe architect should periodically review tool-call telemetry and remove unused capabilities. New tools can be added when a validated workflow requires them, after security review and evaluation. The objective is not the smallest possible catalog regardless of usefulness; it is the smallest catalog that reliably completes the agent's approved tasks.Study Guide references/topics: Capability-bloat analysis; tool necessity; hand-off reduction; least privilege; attack-surface management; tool lifecycle review.
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