Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 272

Question

You work for a semiconductor manufacturing company. You need to create a real-time application that automates the quality control process. High-definition images of each semiconductor are taken at the end of the assembly line in real time. The photos are uploaded to a Cloud Storage bucket along with tabular data that includes each semiconductor’s batch number, serial number, dimensions, and weight. You need to configure model training and serving while maximizing model accuracy. What should you do?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Use Vertex AI Data Labeling Service to label the images, and tram an AutoML image classification model. Deploy the model, and configure Pub/Sub to publish a message when an image is categorized into the failing class. Pub/Sub is a serverless, global messaging service that decouples services and ingests high-volume event streams. Vertex AI is the unified managed platform to build, train, tune, deploy, and operate ML models. AutoML trains high-quality custom models from your data with minimal ML expertise. This option meets the real-time / low-latency performance requirement.

Google Cloud Professional Machine Learning Engineer PMLE — Question 272