AWS Certified AI Practitioner AIF-C01 Real Mock 1

1. A data science team trains a customer churn prediction model using historical customer activity logs. During evaluation, the model achieves 99% accuracy on the training data, but accuracy drops to 58% when tested on newly collected production data. Which AI concept does this discrepancy illustrate?

A. Data Imputation

B. Underfitting

C. Overfitting

2. A retail company wants to implement a system that can automatically categorize incoming customer reviews into positive, negative, or neutral sentiments. They want to train an algorithm on historical labeled data to find patterns and classify the text without explicitly programming the classification rules. Which AI discipline is primarily being utilized?

A. Agentic AI

B. Generative AI

C. Machine Learning

3. A retail company deploys a product recommendation model to Amazon SageMaker. The model must return personalized suggestions in under 50 milliseconds while a user browses the checkout page. The website traffic is consistently high 24 hours a day. Which AI model inferencing strategy is required to meet this strict latency requirement?

A. Asynchronous inferencing

B. Serverless inferencing

C. Real-time inferencing

4. A team of data engineers is preparing a dataset in Amazon S3 to train a product recommendation model. The dataset consists of millions of rows containing customer IDs, product IDs, purchase dates, and quantities, all organized neatly into predefined columns. Which classification best describes this type of data?

A. Unstructured data

B. Free-form text data

C. Computer vision image data