AWS Certified AI Practitioner (AIF-C01) Exam Dumps with Solutions

A public health analytics team at a city hospital network plans to build an AI application using large language models (LLMs) that will read 20–50 page clinical incident reports (PDFs) and produce key takeaways for safety reviews; the system must return a concise summary of the top findings (≤200 words) within 5 seconds per request and support up to 10 concurrent reviewers. Which solution meets these requirements?

An IT operations team uses an LLM to diagnose incidents by analyzing 8–12 sequential service logs and 5 metric anomalies, and they require the model to produce a numbered, step-by-step reasoning trace with intermediate calculations (e.g., latency deltas and error-rate ratios) that justifies the final root cause and remediation; which prompt engineering technique best meets these requirements?

A real-time financial news platform ingests about 12 GB of new multilingual articles per day and wants its in-house foundation model (FM) to reflect breaking developments within 24 hours without resetting weights; the team plans daily refreshes using a rolling 90-day corpus and warm-starting from the latest checkpoint to preserve capabilities. Which training strategy will keep the FM current with the most recent data while maintaining previously learned knowledge?

While using Amazon Bedrock, a team sees that a 44-word chat message is billed as 1,536 input tokens and 72 output tokens; in this context, what does the term token refer to?

A video streaming platform wants to use AI to protect its content delivery APIs from malicious traffic; the AI must determine whether a new request’s client IP and user agent come from a suspicious source by comparing against 30 days of baseline traffic patterns, score up to 12,000 requests per minute with under 150 ms latency per request, and automatically flag unusual sources; which solution meets these requirements?