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examtopics.com • Technology • World
This question discusses configuring a Vertex AI model endpoint for an AutoML tabular classification model to minimize latency and cost while handling fluctuating website traffic.
examtopics.com • Technology • World
This question discusses creating an ML pipeline orchestration layer using Google Cloud services that triggers only when new files are added to a Cloud Storage bucket, minimizing compute costs.
examtopics.com • MachineLearning • World
This question addresses configuring an XGBoost model deployed on Vertex AI for online prediction with minimal latency, including explanation method and model monitoring.
examtopics.com • MachineLearning • World
This question explores efficient strategies for preprocessing tabular data in BigQuery before training a TensorFlow classification model on Vertex AI, focusing on cost and effort minimization.
examtopics.com • Engineering • World
An online grocery store needs to scale its machine learning model for recipe recommendations to handle a fourfold increase in holiday traffic, prompting a discussion on optimal scaling strategies using Google Vertex AI.
examtopics.com • MachineLearning • World
This article discusses optimizing a machine learning model retraining workflow for predicting used car prices using Vertex AI, focusing on minimizing costs and efficiently deploying models.
examtopics.com • MachineLearning • World
This question presents a machine learning scenario where a model needs to be built to predict customer lifetime value using BigQuery and the simplest approach is desired.
examtopics.com • MachineLearning • World
This question assesses the best approach to building and evaluating a customer churn prediction model using BigQuery ML and Vertex AI.
examtopics.com • MachineLearning • World
This article presents a multiple-choice question regarding the optimal configuration of a Vertex AI Model Monitoring pipeline for two models trained on different feature sets.
examtopics.com • Technology • World
This question discusses the optimal method for deploying a new machine learning model to a production Vertex AI endpoint with minimal disruption.
examtopics.com • MachineLearning • World
This question explores optimizing an ML pipeline's performance by comparing different parameter combinations using Google Cloud's Vertex AI.
examtopics.com • Technology • World
This article presents a multiple-choice question about automating a model retraining workflow using Vertex AI, GitHub Actions, and Cloud Build, focusing on optimal CI/CD configuration.
examtopics.com • MachineLearning • World
A data science team at a bank needs to develop and compare multiple loan default risk prediction models using TensorFlow and Vertex AI on a massive BigQuery dataset, and the optimal data ingestion method is questioned.
examtopics.com • MachineLearning • World
This article presents a multiple-choice question about productionizing a Keras ML model, comparing different cloud-based orchestration approaches for weekly retraining.