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Question 10/112
You have created a Vertex Al pipeline that automates custom model training You want to add a pipeline component that enables your team to most easily collaborate when running different executions and comparing metrics both visually and programmatically. What should you do?
Correct Answer: C
Vertex AI Experiments is a managed service that allows you to track, compare, and manage experiments with Vertex AI. You can use Vertex AI Experiments to record the parameters, metrics, and artifacts of each pipeline run, and compare them in a graphical interface. Vertex AI TensorBoard is a tool that lets you visualize the metrics of your models, such as accuracy, loss, and learning curves. By logging metrics to Vertex ML Metadata and using Vertex AI Experiments and TensorBoard, you can easily collaborate with your team and find the best model configuration for your problem. References: Vertex AI Pipelines: Metrics visualization and run comparison using the KFP SDK, Track, compare, manage experiments with Vertex AI Experiments, Vertex AI Pipelines
- Question List (112q)
- Question 1: You work for a retail company. You have been tasked with bui...
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- Question 9: You have trained a model on a dataset that required computat...
- Question 10: You have created a Vertex Al pipeline that automates custom ...
- Question 11: You recently deployed a scikit-learn model to a Vertex Al en...
- Question 12: You need to build classification workflows over several stru...
- Question 13: Your team needs to build a model that predicts whether image...
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- Question 21: You are training an ML model on a large dataset. You are usi...
- Question 22: You work for a bank and are building a random forest model f...
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- Question 24: You are an ML engineer at a bank that has a mobile applicati...
- Question 25: You recently trained an XGBoost model on tabular data You pl...
- Question 26: You work for a biotech startup that is experimenting with de...
- Question 27: You have a functioning end-to-end ML pipeline that involves ...
- Question 28: You lead a data science team at a large international corpor...
- Question 29: You recently created a new Google Cloud Project After testin...
- Question 30: You need to execute a batch prediction on 100 million record...
- Question 31: You are a data scientist at an industrial equipment manufact...
- Question 32: You work for a social media company. You need to detect whet...
- Question 33: You manage a team of data scientists who use a cloud-based b...
- Question 34: You have been tasked with deploying prototype code to produc...
- Question 35: You work for an online publisher that delivers news articles...
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- Question 37: You recently deployed a model lo a Vertex Al endpoint and se...
- Question 38: You are an ML engineer at a global car manufacturer. You nee...
- Question 39: You are developing ML models with Al Platform for image segm...
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- Question 41: While monitoring your model training's GPU utilization, you ...
- Question 42: You are investigating the root cause of a misclassification ...
- Question 43: You have recently created a proof-of-concept (POC) deep lear...
- Question 44: You recently joined an enterprise-scale company that has tho...
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- Question 46: You are developing a Kubeflow pipeline on Google Kubernetes ...
- Question 47: You are developing an ML model that uses sliced frames from ...
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- Question 49: You work for a large technology company that wants to modern...
- Question 50: You have trained a model by using data that was preprocessed...
- Question 51: You are training a custom language model for your company us...
- Question 52: Your team is building a convolutional neural network (CNN)-b...
- Question 53: You developed a custom model by using Vertex Al to predict y...
- Question 54: You built a deep learning-based image classification model b...
- Question 55: You developed a custom model by using Vertex Al to forecast ...
- Question 56: You are developing a training pipeline for a new XGBoost cla...
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- Question 58: You recently trained a XGBoost model that you plan to deploy...
- Question 59: You have been asked to build a model using a dataset that is...
- Question 60: You have written unit tests for a Kubeflow Pipeline that req...
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- Question 62: You are working on a binary classification ML algorithm that...
- Question 63: You are training an object detection machine learning model ...
- Question 64: You are building a real-time prediction engine that streams ...
- Question 65: You work on a growing team of more than 50 data scientists w...
- Question 66: You are developing an ML model using a dataset with categori...
- Question 67: You work for the AI team of an automobile company, and you a...
- Question 68: You have created a Vertex Al pipeline that includes two step...
- Question 69: You are experimenting with a built-in distributed XGBoost mo...
- Question 70: You are developing an ML model to identify your company s pr...
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- Question 72: You have developed a BigQuery ML model that predicts custome...
- Question 73: You are an ML engineer at an ecommerce company and have been...
- Question 74: You are working on a Neural Network-based project. The datas...
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- Question 78: You recently used XGBoost to train a model in Python that wi...
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- Question 87: You work for a gaming company that manages a popular online ...
- Question 88: You need to train a regression model based on a dataset cont...
- Question 89: You created an ML pipeline with multiple input parameters. Y...
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- Question 92: You have built a custom model that performs several memory-i...
- Question 93: You work for an online retail company that is creating a vis...
- Question 94: You are going to train a DNN regression model with Keras API...
- Question 95: You are developing a model to identify traffic signs in imag...
- Question 96: You are developing an ML model to identify your company s pr...
- Question 97: You deployed an ML model into production a year ago. Every m...
- Question 98: You need to design a customized deep neural network in Keras...
- Question 99: You are developing a model to predict whether a failure will...
- Question 100: Your organization wants to make its internal shuttle service...
- Question 101: You work for a startup that has multiple data science worklo...
- Question 102: You are building a MLOps platform to automate your company's...
- Question 103: You are pre-training a large language model on Google Cloud....
- Question 104: You are an ML engineer on an agricultural research team work...
- Question 105: You are profiling the performance of your TensorFlow model t...
- Question 106: You need to use TensorFlow to train an image classification ...
- Question 107: You work for a social media company. You want to create a no...
- Question 108: You are building an ML model to detect anomalies in real-tim...
- Question 109: You are developing a custom image classification model in Py...
- Question 110: You are building a linear model with over 100 input features...
- Question 111: You have deployed a scikit-learn model to a Vertex Al endpoi...
- Question 112: You are creating a deep neural network classification model ...
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