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examtopics.com • Technology • World
The question discusses evaluating the performance of different distilled LLMs using a Vertex AI pipeline, and the optimal solution involves creating a custom Vertex AI Pipelines component for efficient metric calculation and result storage.
examtopics.com • Technology • World
This question discusses configuring a TensorFlow Extended pipeline for efficient data preprocessing, metric publishing, and artifact tracking using Vertex AI, and its correct configuration is to run it in Vertex AI Pipelines and use Apache Beam parameters for Dataflow processing.
examtopics.com • Technology • World
A hospital uses Vertex AI to build a patient risk prediction model, and the question involves determining the best strategy to monitor for feature drift and maintain accuracy over time while minimizing costs.
examtopics.com • MachineLearning • World
This question explores optimal hyperparameter tuning strategies for a Keras regression model using Vertex AI, comparing different approaches to minimize training loss and maximize model performance.
examtopics.com • Technology • World
This question explores optimal workflow design for analytics, feature creation, and online prediction using Google Cloud Platform services for machine learning.
examtopics.com • Technology • World
This question discusses optimizing a Kubeflow pipeline for faster execution and lower costs in a PyTorch-based MLOps workflow.
examtopics.com • Technology • World
This question focuses on optimizing XGBoost model training on Vertex AI using custom containers and minimizing startup time by efficiently managing data and dependencies.
examtopics.com • Technology • World
A Google Cloud project using Vertex AI Pipelines encounters a permission error when run from a Vertex AI Workbench instance, requiring a solution to grant appropriate access.
examtopics.com • Technology • World
This question focuses on efficiently managing and deploying machine learning models within Google Cloud's Vertex AI platform, emphasizing the use of experiments and pipelines for streamlined workflows.
examtopics.com • Technology • World
This article presents a multiple-choice question about deploying a retrained machine learning model for a music streaming service on Vertex AI, focusing on minimizing complexity and using A/B testing for gradual rollout.
examtopics.com • MachineLearning • World
A machine learning approach is needed to extract ingredients and cookware from unstructured recipe text files, and option A, using Vertex AI's AutoML entity extraction, is the most suitable solution.
examtopics.com • MachineLearning • World
This question discusses how to set up experiments for a machine learning model predicting machine part failures using Vertex AI, focusing on data logging and artifact tracking.
examtopics.com • Technology • World
This article presents a multiple-choice question about deploying a machine learning workflow using Google Cloud Platform services, focusing on version control, scalability, and resource optimization.
examtopics.com • Technology • World
This question explores productionizing a TensorFlow classification model, focusing on integrating it with Google Cloud Platform services like Vertex AI, Dataflow, and BigQuery for efficient weekly prediction uploads.
examtopics.com • Technology • World
This question discusses the best method for enabling team collaboration and metric comparison in a Vertex AI pipeline for custom model training.
examtopics.com • Engineering • World
A mobile gaming startup tackles in-game cheating by deploying a binary classification model for real-time player detection and banning.
examtopics.com • Technology • World
A machine learning model misclassified data, and this question explores how to use Vertex AI Metadata's lineage feature to recover the training data used by a specific model version.
examtopics.com • Technology • World
This question assesses knowledge of setting up secure access to Google's Vertex AI Workbench for a team, limiting access to other project employees.
examtopics.com • Technology • World
An e-commerce website's real-time product recommendation model needs optimization for minimal latency and update effort, leading to a discussion of various Google Cloud architecture solutions.
examtopics.com • MachineLearning • World
A hospital seeks to optimize surgery scheduling by predicting daily bed needs using a year's worth of data on scheduled surgeries and bed occupancy, and the best approach to rapidly develop and test the predictive model is discussed.
examtopics.com • Technology • World
This question presents a machine learning problem involving damaged vehicle image analysis and explores efficient model training strategies using Google Cloud services.
examtopics.com • MachineLearning • World
A retail company seeks to predict customer purchases using machine learning, and the best approach for interpreting individual predictions is discussed.
examtopics.com • MachineLearning • World
A retail company seeks the best data splitting approach for sales prediction using Vertex AI, choosing between manual, default, chronological, and random splits.
examtopics.com • Technology • World
This article presents a multiple-choice question regarding the optimal CI/CD pipeline for deploying machine learning models on Google Cloud's Vertex AI, emphasizing the importance of pre-production testing.
examtopics.com • Engineering • World
This article presents a machine learning engineering question about deploying an XGBoost model trained in Python for online serving using Google Kubernetes Engine and explores various approaches to efficiently implement pre- and post-processing steps.
examtopics.com • Technology • World
This question discusses optimizing a Vertex AI pipeline by choosing the best approach to reduce execution time and cost while testing different model algorithms.
examtopics.com • Technology • World
A food company seeks the most efficient method to preprocess BigQuery sales data for TensorFlow model training in Vertex AI, choosing between Spark/Dataproc, in-place BigQuery SQL, TensorFlow preprocessing, or a Dataflow pipeline.
examtopics.com • Technology • World
This question discusses the optimal method for deploying a scikit-learn model to Vertex AI for both online and batch prediction, focusing on minimizing additional code.
examtopics.com • Technology • World
A data science team needs to analyze a massive sales dataset, prompting a decision on the optimal tools for efficient descriptive statistics, hypothesis testing, and data visualization.
examtopics.com • MachineLearning • World
A machine learning model predicting magazine subscription renewals is evaluated to determine which customer attribute is most predictive using Vertex Explainable AI.
examtopics.com • Technology • World
A data science team needs a system to efficiently track and manage machine learning experiments; the best solution uses Vertex AI Pipelines and its MetadataStore for streamlined result management.