AWS Certified AI Practitioner AIF-C01 Real Mock 3

1. A global hospitality enterprise wants to build an automated customer service virtual assistant to handle hotel bookings, interpret cancellation requests written in free-form customer messages, and extract key intents. Which AI discipline primarily provides the capabilities needed to understand and parse human language in this manner?

A. Computer Vision

B. Supervised Clustering

C. Model Quantization

2. A media company is developing a system to enhance image quality by identifying complex patterns and filling in missing pixels. The engineering team implements an architecture composed of interconnected artificial neurons structured in dozens of hidden layers. Which specific subset of machine learning are they utilizing?

A. Linear Regression

B. Decision Trees

C. Deep Learning

3. A startup launches a mobile app that allows users to upload photos and apply AI-generated art filters. Traffic is highly unpredictable, with long periods of zero requests followed by sudden viral spikes. The startup wants an inferencing endpoint that automatically scales compute capacity to zero when idle to save costs. Which inferencing strategy should they implement?

A. Real-time inferencing

B. Serverless inferencing

C. Batch inferencing

4. A data science team is training a supervised machine learning model in Amazon SageMaker to classify customer support emails. They are using a historical dataset of 50,000 emails where human reviewers have manually appended a 'Resolved' or 'Unresolved' tag to each record. Which term best describes the state of this training data?

A. Unlabeled data

B. Time-series data

C. Labeled data