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Question 116/139
You are building a TensorFlow text-to-image generative model by using a dataset that contains billions of images with their respective captions. You want to create a low maintenance, automated workflow that reads the data from a Cloud Storage bucket collects statistics, splits the dataset into training/validation/test datasets performs data transformations, trains the model using the training/validation datasets. and validates the model by using the test dataset. What should you do?
Correct Answer: D
According to the web search results, TensorFlow Extended (TFX) is a platform for building end-to-end machine learning pipelines using TensorFlow1. TFX provides a set of components that can be orchestrated using either the TFX SDK or Kubeflow Pipelines. TFX components can handle different aspects of the pipeline, such as data ingestion, data validation, data transformation, model training, model evaluation, model serving, and more. TFX components can also leverage other Google Cloud services, such as Dataflow2 and Vertex AI3. Dataflow is a fully managed service for running Apache Beam pipelines on Google Cloud.
Dataflow handles the provisioning and management of the compute resources, as well as the optimization and execution of the pipelines. Vertex AI is a unified platform for machine learning development and deployment.
Vertex AI offers various services and tools for building, managing, and serving machine learning models.
Therefore, option D is the best way to create a low maintenance, automated workflow for the given use case, as it allows you to use the TFX SDK to define and execute your pipeline components, and use Dataflow and Vertex AI services to scale and optimize your pipeline. The other options are not relevant or optimal for this scenario. References:
* TensorFlow Extended
* Dataflow
* Vertex AI
* Google Professional Machine Learning Certification Exam 2023
* Latest Google Professional Machine Learning Engineer Actual Free Exam Questions
Dataflow handles the provisioning and management of the compute resources, as well as the optimization and execution of the pipelines. Vertex AI is a unified platform for machine learning development and deployment.
Vertex AI offers various services and tools for building, managing, and serving machine learning models.
Therefore, option D is the best way to create a low maintenance, automated workflow for the given use case, as it allows you to use the TFX SDK to define and execute your pipeline components, and use Dataflow and Vertex AI services to scale and optimize your pipeline. The other options are not relevant or optimal for this scenario. References:
* TensorFlow Extended
* Dataflow
* Vertex AI
* Google Professional Machine Learning Certification Exam 2023
* Latest Google Professional Machine Learning Engineer Actual Free Exam Questions
- Question List (139q)
- Question 1: You recently deployed a scikit-learn model to a Vertex Al en...
- Question 2: You are working on a system log anomaly detection model for ...
- Question 3: You have created multiple versions of an ML model and have i...
- Question 4: You are working on a prototype of a text classification mode...
- Question 5: You are developing an ML model that predicts the cost of use...
- Question 6: You developed a custom model by using Vertex Al to forecast ...
- Question 7: You want to rebuild your ML pipeline for structured data on ...
- Question 8: You are working with a dataset that contains customer transa...
- Question 9: You work for an organization that operates a streaming music...
- Question 10: You are creating a social media app where pet owners can pos...
- Question 11: Your team has a model deployed to a Vertex Al endpoint You h...
- Question 12: You are developing a process for training and running your c...
- Question 13: You need to develop an image classification model by using a...
- Question 14: You are building a TensorFlow model for a financial institut...
- Question 15: You are creating a deep neural network classification model ...
- Question 16: You work at a bank You have a custom tabular ML model that w...
- Question 17: You work for an online grocery store. You recently developed...
- Question 18: You work on a team that builds state-of-the-art deep learnin...
- Question 19: You need to execute a batch prediction on 100 million record...
- Question 20: Your company manages an application that aggregates news art...
- Question 21: You need to design an architecture that serves asynchronous ...
- Question 22: Your company manages an ecommerce website. You developed an ...
- Question 23: You have trained an XGBoost model that you plan to deploy on...
- Question 24: While running a model training pipeline on Vertex Al, you di...
- Question 25: You are working on a classification problem with time series...
- Question 26: You work for a company that is developing a new video stream...
- Question 27: You are developing a custom image classification model in Py...
- Question 28: You are using Keras and TensorFlow to develop a fraud detect...
- Question 29: You built a deep learning-based image classification model b...
- Question 30: You need to build an ML model for a social media application...
- Question 31: You work at a gaming startup that has several terabytes of s...
- Question 32: You have successfully deployed to production a large and com...
- Question 33: You work for a retail company that is using a regression mod...
- Question 34: You work as an ML researcher at an investment bank and are e...
- Question 35: You have deployed a model on Vertex AI for real-time inferen...
- Question 36: You recently joined an enterprise-scale company that has tho...
- Question 37: You are creating a model training pipeline to predict sentim...
- Question 38: You work at a gaming startup that has several terabytes of s...
- Question 39: You developed a Vertex Al ML pipeline that consists of prepr...
- Question 40: You work for a hospital that wants to optimize how it schedu...
- Question 41: You were asked to investigate failures of a production line ...
- Question 42: You are designing an architecture with a serverless ML syste...
- Question 43: You want to train an AutoML model to predict house prices by...
- Question 44: During batch training of a neural network, you notice that t...
- Question 45: You are building a real-time prediction engine that streams ...
- Question 46: You are developing a model to identify traffic signs in imag...
- Question 47: You need to train a regression model based on a dataset cont...
- Question 48: You are using Kubeflow Pipelines to develop an end-to-end Py...
- Question 49: You work at an ecommerce startup. You need to create a custo...
- Question 50: You work for a bank You have been asked to develop an ML mod...
- Question 51: You have developed an AutoML tabular classification model th...
- Question 52: You recently created a new Google Cloud Project After testin...
- Question 53: You work for a retail company. You have created a Vertex Al ...
- Question 54: You work for a gaming company that manages a popular online ...
- Question 55: You recently used BigQuery ML to train an AutoML regression ...
- Question 56: You are an ML engineer at a manufacturing company. You need ...
- Question 57: You are developing models to classify customer support email...
- Question 58: You work for a public transportation company and need to bui...
- Question 59: You work for a pharmaceutical company based in Canada. Your ...
- Question 60: Your data science team needs to rapidly experiment with vari...
- Question 61: You are a lead ML engineer at a retail company. You want to ...
- Question 62: You trained a model on data stored in a Cloud Storage bucket...
- Question 63: You created an ML pipeline with multiple input parameters. Y...
- Question 64: You have recently used TensorFlow to train a classification ...
- Question 65: You recently trained a XGBoost model that you plan to deploy...
- Question 66: You work for a large retailer and you need to build a model ...
- Question 67: You work for a large technology company that wants to modern...
- Question 68: You have written unit tests for a Kubeflow Pipeline that req...
- Question 69: You recently joined a machine learning team that will soon r...
- Question 70: You recently trained an XGBoost model on tabular data You pl...
- Question 71: You have been asked to build a model using a dataset that is...
- Question 72: You recently developed a wide and deep model in TensorFlow. ...
- Question 73: You work for a telecommunications company You're building a ...
- Question 74: You recently deployed a model to a Vertex Al endpoint Your d...
- Question 75: You work for a company that sells corporate electronic produ...
- Question 76: You work at an organization that maintains a cloud-based com...
- Question 77: You work for a social media company. You need to detect whet...
- Question 78: You lead a data science team at a large international corpor...
- Question 79: You are developing ML models with Al Platform for image segm...
- Question 80: You work for a large hotel chain and have been asked to assi...
- Question 81: Your team needs to build a model that predicts whether image...
- Question 82: You are working on a binary classification ML algorithm that...
- Question 83: You built a custom ML model using scikit-learn. Training tim...
- Question 84: You work for a company that provides an anti-spam service th...
- Question 85: You work on the data science team for a multinational bevera...
- Question 86: You are investigating the root cause of a misclassification ...
- Question 87: You are an ML engineer at a regulated insurance company. You...
- Question 88: You are an ML engineer at a large grocery retailer with stor...
- Question 89: You developed a custom model by using Vertex Al to predict y...
- Question 90: You are developing a mode! to detect fraudulent credit card ...
- Question 91: You are building a linear regression model on BigQuery ML to...
- Question 92: You recently built the first version of an image segmentatio...
- Question 93: You recently used XGBoost to train a model in Python that wi...
- Question 94: You recently developed a deep learning model using Keras, an...
- Question 95: You are training a custom language model for your company us...
- Question 96: You created a model that uses BigQuery ML to perform linear ...
- Question 97: While performing exploratory data analysis on a dataset, you...
- Question 98: You are developing a model to help your company create more ...
- Question 99: You work for a biotech startup that is experimenting with de...
- Question 100: You are an ML engineer responsible for designing and impleme...
- Question 101: Your work for a textile manufacturing company. Your company ...
- Question 102: You have deployed a scikit-learn model to a Vertex Al endpoi...
- Question 103: You have built a model that is trained on data stored in Par...
- Question 104: Your organization's call center has asked you to develop a m...
- Question 105: You work for a large social network service provider whose u...
- Question 106: You developed an ML model with Al Platform, and you want to ...
- Question 107: You work for an international manufacturing organization tha...
- Question 108: You work with a team of researchers to develop state-of-the-...
- Question 109: You are training a deep learning model for semantic image se...
- Question 110: You work on a growing team of more than 50 data scientists w...
- Question 111: You received a training-serving skew alert from a Vertex Al ...
- Question 112: You work for a semiconductor manufacturing company. You need...
- Question 113: You work for a retail company. You have a managed tabular da...
- Question 114: You recently designed and built a custom neural network that...
- Question 115: You work for a magazine publisher and have been tasked with ...
- Question 116: You are building a TensorFlow text-to-image generative model...
- Question 117: You are building a predictive maintenance model to preemptiv...
- Question 118: You work for a manufacturing company. You need to train a cu...
- Question 119: You need to analyze user activity data from your company's m...
- Question 120: You work with a data engineering team that has developed a p...
- Question 121: You have created a Vertex Al pipeline that automates custom ...
- Question 122: Your data science team has requested a system that supports ...
- Question 123: You need to train a computer vision model that predicts the ...
- Question 124: You have recently created a proof-of-concept (POC) deep lear...
- Question 125: Your team is building a convolutional neural network (CNN)-b...
- Question 126: You developed a BigQuery ML linear regressor model by using ...
- Question 127: You have a demand forecasting pipeline in production that us...
- Question 128: You recently deployed a pipeline in Vertex Al Pipelines that...
- Question 129: You work at a leading healthcare firm developing state-of-th...
- Question 130: You developed a Python module by using Keras to train a regr...
- Question 131: You have developed a fraud detection model for a large finan...
- Question 132: You are developing a training pipeline for a new XGBoost cla...
- Question 133: As the lead ML Engineer for your company, you are responsibl...
- Question 134: You are going to train a DNN regression model with Keras API...
- Question 135: You are an ML engineer at an ecommerce company and have been...
- Question 136: You are responsible for building a unified analytics environ...
- Question 137: You deployed an ML model into production a year ago. Every m...
- Question 138: Your company stores a large number of audio files of phone c...
- Question 139: One of your models is trained using data provided by a third...
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