PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #215
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #215: Real Exam Question with Answer & Explanation
Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #215. The question stem and answer options stay visible for context.
Question
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?
Options
- ADownload a pre-trained object detection model from TensorFlow Hub. Fine-tune the model in
- BTrain an object detection model in AutoML by using the annotated image data.
- CCreate a pipeline in Vertex AI Pipelines and configure the AutoMLTrainingJobRunOp component
- DTrain an object detection model in Vertex AI custom training by using the annotated image data.
Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer
You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.