AWS Certified AI Practitioner (AIF-C01) — Question 272
A company needs to apply numerical transformations to a set of images to transpose and rotate the images.
Which solution will meet these requirements in the MOST operationally efficient way?
Answer options
- A. Create a deep neural network by using the images as input.
- B. Create an AWS Lambda function to perform the transformations.
- C. Use an Amazon Bedrock large language model (LLM) with a high temperature.
- D. Use AWS Glue Data Quality to make corrections to each image.
Correct answer: B
Explanation
Using AWS Lambda is the most operationally efficient solution because basic geometric transformations like rotation and transposition can be quickly processed using lightweight image libraries in a serverless environment. Training a deep neural network or using an LLM introduces unnecessary complexity, high costs, and operational overhead for simple, deterministic math operations. AWS Glue Data Quality is designed for measuring and monitoring the quality of tabular data, making it completely unsuitable for image manipulation.