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Professional Machine Learning Engineer Exam - Question 204


You work for an auto insurance company. You are preparing a proof-of-concept ML application that uses images of damaged vehicles to infer damaged parts. Your team has assembled a set of annotated images from damage claim documents in the company’s database. The annotations associated with each image consist of a bounding box for each identified damaged part and the part name. You have been given a sufficient budget to train models on Google Cloud. You need to quickly create an initial model. What should you do?

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Correct Answer: AB

To quickly create an initial model for detecting damaged parts in vehicle images, using AutoML is the most efficient approach. AutoML allows for high-quality model creation with minimal setup and code, making it ideal for rapidly developing a proof-of-concept application. It provides a user-friendly interface and automates essential aspects of the machine learning workflow, such as hyperparameter tuning and architecture selection, making it accessible for teams without extensive ML expertise. This approach directly supports custom object detection tasks with your already annotated image data.

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pikachu007Option: B
Jan 13, 2024

Speed: AutoML excels in creating high-quality models with minimal code and setup, significantly accelerating model development. Ease of use: It provides a user-friendly interface and automates many aspects of model training, making it accessible even for those without extensive ML expertise. Automatic optimization: AutoML automatically handles hyperparameter tuning, feature engineering, and architecture selection, reducing manual effort and expertise required. Custom object detection: It supports custom object detection tasks, directly addressing the need to identify damaged parts in images.

edooOption: B
Mar 8, 2024

By doing B we are doing D. I suppose B in more specific about the model and thus "more" correct? Thoughts?

pinimichele01Option: B
Apr 8, 2024

went with B

ddoggOption: B
Feb 2, 2024

B makes the most sense, data is already labelled and a pretrained model may not fit for this specific case

VinaoSilvaOption: B
Jun 29, 2024

quickly create an initial model = automl