AWS Certified AI Practitioner AIF-C01 Real Mock 2

1. A healthcare organization is developing an automated diagnostic system on AWS to identify micro-fractures, tumors, and tissue abnormalities in digital X-ray and CT scan files. Which field of artificial intelligence is the primary foundation for analyzing and extracting features from these visual inputs?

A. Computer Vision

B. Natural Language Processing (NLP)

C. Reinforcement Learning

2. A logistics company deploys a complex AI system to optimize its supply chain. When given a high-level goal like 'minimize delivery delays,' the system can autonomously break the goal into sub-tasks, query external weather APIs, interact with fleet management software, and execute rerouting commands without human intervention. Which AI concept encompasses this capability?

A. Generative AI

B. Agentic AI

C. Supervised Learning

3. A financial services company processes thousands of mortgage applications overnight. The application data is stored in a multi-gigabyte Amazon S3 bucket. The machine learning predictions are not needed immediately but must be calculated and exported to a database by the next business day. Which inferencing strategy is the most cost-effective and appropriate for this workload?

A. Edge inferencing

B. Serverless inferencing

C. Real-time inferencing

4. A quantitative analyst at a financial firm uses Amazon Forecast to predict future stock market trends. The training dataset consists of daily closing stock prices mapped to precise sequential timestamps over the last ten years. What is the most accurate classification for this specific type of data?

A. Unstructured text data

B. Time-series data

C. Computer vision image data