The correct options are Natural language processing and text analytics, Time series forecasting for sequential data, and Computer vision for image and object analysis.

Natural language processing and text analytics is included because the AutoML workflow can automate text preprocessing, feature extraction, and model selection for language tasks such as classification and entity extraction, which makes text analytics a supported category beyond standard classification and regression.

Time series forecasting for sequential data is included because AutoML can build and evaluate forecasting pipelines that handle temporal features, windowing, and forecasting metrics, and it automates the selection of models and hyperparameters for sequential prediction tasks.

Computer vision for image and object analysis is included because AutoML extends to image problems and can automate image preprocessing, model training, and evaluation for tasks like image classification and object detection, which makes vision a distinct supported category.

Anomaly detection for identifying outliers is incorrect for this question because it was not listed as one of the three additional categories in the prompt. Although anomaly detection is a valid machine learning task, it is not one of the selected answers here.

Recommendation systems for personalized suggestions is incorrect because recommendation models were not included among the three additional categories. Recommender systems are a separate area and they were not part of the correct answer set.

Full AWS Practitioner Certification Question