Section-Based – Fundamentals of AI and ML (AIF-C01)

A financial expert is building a model to predict the future value of a portfolio based on historical performance, asset allocation, and market trends. The prediction model will help in making investment decisions and optimizing the portfolio allocation strategy.

Which machine-learning technique should be considered to meet this objective?

A healthcare insurance company manually extracts sensitive information from claims forms and accompanying attachments. This manual process has led to significant delays for customers seeking healthcare benefits. To improve customer service and reduce the manual labor involved, the company wants to automate the extraction process to expedite the handling and processing of claims.

Which AWS service will help meet the company’s objectives?

An AI specialist is working with a deep-learning model in Amazon SageMaker. The model is too large to fit into the memory of a single GPU, and the training dataset is also quite extensive. The specialist must choose a SageMaker built-in option to optimize the training process and manage the large model and dataset.

Which SageMaker built-in options should the specialist use to handle training of large model sizes?

A financial company has collected 2 years of daily transaction data stored in an Amazon S3 bucket. To enhance liquidity management, financial planning, and resource allocation, they plan to develop a machine-learning model to forecast transaction volumes for the next 90 days.

Which type of algorithm should the company use?

A financial company is using an AI model to identify potential loan defaults. To ensure the model works well in production, they must set up processes for capturing real-time data, comparing it with the training set, detecting performance issues, and generating alerts.

Which stage of the model development pipeline should the company focus on?

A legal firm has a large collection of scanned legal documents and case files in PDF format. They need a system to automate text extraction, identify key elements like tables and forms, and analyze image content to minimize manual intervention.

Which AWS services will most efficiently meet the firm’s needs with LEAST operational management? (Select TWO.)

An e-commerce company uses Amazon SageMaker to build an ML model for customer review segmentation. They need a feature for efficient data cleansing and preparation with minimal coding.

Which SageMaker feature should they use?

An e-commerce company is developing a model using Amazon SageMaker to forecast the probability of a product being returned after purchase. The company owns a labeled dataset containing product categories, prices, customer reviews, and return status stored in an Amazon S3 bucket.

What machine learning approach is most appropriate for this task?

What term refers to a branch of AI that enables systems to learn and make predictions based on data without being explicitly structured?