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Question 96/112
You are developing an ML model to identify your company s products in images. You have access to over one million images in a Cloud Storage bucket. You plan to experiment with different TensorFlow models by using Vertex Al Training You need to read images at scale during training while minimizing data I/O bottlenecks What should you do?
Correct Answer: C
TFRecords are a binary file format that can store large amounts of data efficiently. By converting the images to TFRecords and storing them in a Cloud Storage bucket, you can reduce the data size and improve the data transfer speed. You can then read the TFRecords by using the tf.data.TFRecordDataset function, which creates a dataset of tensors from the TFRecord files. This way, you can read images at scale during training while minimizing data I/O bottlenecks. References:
* TFRecord documentation
* tf.data.TFRecordDataset documentation
* Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate
* TFRecord documentation
* tf.data.TFRecordDataset documentation
* Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate
- Question List (112q)
- Question 1: You work for a retail company. You have been tasked with bui...
- Question 2: You manage a team of data scientists who use a cloud-based b...
- Question 3: You want to train an AutoML model to predict house prices by...
- Question 4: You need to deploy a scikit-learn classification model to pr...
- Question 5: You recently built the first version of an image segmentatio...
- Question 6: You work for a bank. You have created a custom model to pred...
- Question 7: You are developing an ML model intended to classify whether ...
- Question 8: You work for a large hotel chain and have been asked to assi...
- 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...
- Question 14: You work for a gaming company that has millions of customers...
- Question 15: You work for a retail company. You have been asked to develo...
- Question 16: You work for a telecommunications company You're building a ...
- Question 17: You work at a gaming startup that has several terabytes of s...
- Question 18: You were asked to investigate failures of a production line ...
- Question 19: You need to train a natural language model to perform text c...
- Question 20: You are working with a dataset that contains customer transa...
- 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...
- Question 23: While performing exploratory data analysis on a dataset, you...
- 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...
- Question 36: You are creating a social media app where pet owners can pos...
- 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...
- Question 40: You work for a credit card company and have been asked to cr...
- 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...
- Question 45: Your company manages an application that aggregates news art...
- Question 46: You are developing a Kubeflow pipeline on Google Kubernetes ...
- Question 47: You are developing an ML model that uses sliced frames from ...
- Question 48: You are an ML engineer at a manufacturing company You are cr...
- 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...
- Question 57: You are an ML engineer at a regulated insurance company. You...
- 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...
- Question 61: You are deploying a new version of a model to a production V...
- 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...
- Question 71: You work for a delivery company. You need to design a system...
- 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...
- Question 75: You are training models in Vertex Al by using data that span...
- Question 76: Your team trained and tested a DNN regression model with goo...
- Question 77: You work for a bank You have been asked to develop an ML mod...
- Question 78: You recently used XGBoost to train a model in Python that wi...
- Question 79: You work with a data engineering team that has developed a p...
- Question 80: You developed a Transformer model in TensorFlow to translate...
- Question 81: You need to quickly build and train a model to predict the s...
- Question 82: You are building a model to predict daily temperatures. You ...
- Question 83: While running a model training pipeline on Vertex Al, you di...
- Question 84: Your work for a textile manufacturing company. Your company ...
- Question 85: You work for an international manufacturing organization tha...
- Question 86: You work on a data science team at a bank and are creating a...
- 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...
- Question 90: You are building a predictive maintenance model to preemptiv...
- Question 91: You work for a pharmaceutical company based in Canada. Your ...
- 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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