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You are an ML engineer responsible for designing and implementing training pipelines for ML models. You need to create an end-to-end training pipeline for a TensorFlow model. The TensorFlow model will be trained on several terabytes of structured data. You need the pipeline to include data quality checks before training and model quality checks after training but prior to deployment. You want to minimize development time and the need for infrastructure maintenance. How should you build and orchestrate your training pipeline?
Correct Answer: B
The best option for creating and orchestrating an end-to-end training pipeline for a TensorFlow model is to use TensorFlow Extended (TFX) and standard TFX components, and deploy the pipeline to Vertex AI Pipelines. TFX is an end-to-end platform for deploying production ML pipelines, which consists of several built-in components that cover the entire ML lifecycle, from data ingestion and validation, to model training and evaluation, to model deployment and monitoring. TFX also supports custom components and integrations with other Google Cloud services, such as BigQuery, Dataflow, and Cloud Storage. Vertex AI Pipelines is a fully managed service that allows you to run TFX pipelines on Google Cloud, without having to worry about infrastructure provisioning, scaling, or maintenance. Vertex AI Pipelines also provides a user-friendly interface to monitor and manage your pipelines, as well as tools to track and compare experiments. The other options are not as suitable for creating and orchestrating an end-to-end training pipeline for a TensorFlow model, because:
* Creating the pipeline using Kubeflow Pipelines domain-specific language (DSL) and predefined Google Cloud components would require more development time and effort, as Kubeflow Pipelines DSL is not as expressive or compatible with TensorFlow as TFX. Predefined Google Cloud components might not cover all the stages of the ML lifecycle, and might not be optimized for TensorFlow models.
* Orchestrating the pipeline using Kubeflow Pipelines deployed on Google Kubernetes Engine would require more infrastructure maintenance, as Kubeflow Pipelines is not a fully managed service, and you would have to provision and manage your own Kubernetes cluster. This would also incur more costs, as
* you would have to pay for the cluster resources, regardless of the pipeline usage. References:
* TFX | ML Production Pipelines | TensorFlow
* Vertex AI Pipelines | Google Cloud
* Kubeflow Pipelines | Google Cloud
* Google Cloud launches machine learning engineer certification
* Google Professional Machine Learning Engineer Certification
* Professional ML Engineer Exam Guide
* Creating the pipeline using Kubeflow Pipelines domain-specific language (DSL) and predefined Google Cloud components would require more development time and effort, as Kubeflow Pipelines DSL is not as expressive or compatible with TensorFlow as TFX. Predefined Google Cloud components might not cover all the stages of the ML lifecycle, and might not be optimized for TensorFlow models.
* Orchestrating the pipeline using Kubeflow Pipelines deployed on Google Kubernetes Engine would require more infrastructure maintenance, as Kubeflow Pipelines is not a fully managed service, and you would have to provision and manage your own Kubernetes cluster. This would also incur more costs, as
* you would have to pay for the cluster resources, regardless of the pipeline usage. References:
* TFX | ML Production Pipelines | TensorFlow
* Vertex AI Pipelines | Google Cloud
* Kubeflow Pipelines | Google Cloud
* Google Cloud launches machine learning engineer certification
* Google Professional Machine Learning Engineer Certification
* Professional ML Engineer Exam Guide
- Question List (109q)
- Question 1: You are an ML engineer responsible for designing and impleme...
- Question 2: You have written unit tests for a Kubeflow Pipeline that req...
- Question 3: Your company manages a video sharing website where users can...
- Question 4: You work for an organization that operates a streaming music...
- Question 5: You need to develop a custom TensorRow model that will be us...
- Question 6: You are working on a prototype of a text classification mode...
- Question 7: You are training a deep learning model for semantic image se...
- Question 8: You work for a rapidly growing social media company. Your te...
- Question 9: You work at a mobile gaming startup that creates online mult...
- Question 10: You are using Kubeflow Pipelines to develop an end-to-end Py...
- Question 11: You have deployed a model on Vertex AI for real-time inferen...
- Question 12: You are developing a mode! to detect fraudulent credit card ...
- Question 13: Your team has been tasked with creating an ML solution in Go...
- Question 14: Your data science team is training a PyTorch model for image...
- Question 15: You work for a retail company that is using a regression mod...
- Question 16: You received a training-serving skew alert from a Vertex Al ...
- Question 17: You are training and deploying updated versions of a regress...
- Question 18: You need to develop an image classification model by using a...
- Question 19: You are building an ML model to detect anomalies in real-tim...
- Question 20: You have recently created a proof-of-concept (POC) deep lear...
- Question 21: You are training an LSTM-based model on Al Platform to summa...
- Question 22: You are developing models to classify customer support email...
- Question 23: You have developed a BigQuery ML model that predicts custome...
- Question 24: You recently used XGBoost to train a model in Python that wi...
- Question 25: You work for a social media company. You need to detect whet...
- Question 26: You have deployed multiple versions of an image classificati...
- Question 27: You have recently trained a scikit-learn model that you plan...
- Question 28: You are developing a custom image classification model in Py...
- Question 29: Your team is building an application for a global bank that ...
- Question 30: You have recently developed a custom model for image classif...
- Question 31: You are profiling the performance of your TensorFlow model t...
- Question 32: You work for a retailer that sells clothes to customers arou...
- Question 33: You work for a large social network service provider whose u...
- Question 34: You work for an online retailer. Your company has a few thou...
- Question 35: You are developing a custom TensorFlow classification model ...
- Question 36: You recently designed and built a custom neural network that...
- Question 37: You work for an advertising company and want to understand t...
- Question 38: You work as an ML engineer at a social media company, and yo...
- Question 39: You need to quickly build and train a model to predict the s...
- Question 40: You work for a manufacturing company. You need to train a cu...
- Question 41: You manage a team of data scientists who use a cloud-based b...
- Question 42: Your company manages an application that aggregates news art...
- Question 43: You work with a data engineering team that has developed a p...
- Question 44: You work for a bank and are building a random forest model f...
- Question 45: You work for a gaming company that develops massively multip...
- Question 46: You work on an operations team at an international company t...
- Question 47: You work at a bank You have a custom tabular ML model that w...
- Question 48: You have a demand forecasting pipeline in production that us...
- Question 49: You recently built the first version of an image segmentatio...
- Question 50: You work for a food product company. Your company's historic...
- Question 51: You work at a gaming startup that has several terabytes of s...
- Question 52: You are developing an ML model in a Vertex Al Workbench note...
- Question 53: Your company manages an ecommerce website. You developed an ...
- Question 54: You recently trained an XGBoost model on tabular data You pl...
- Question 55: You are a lead ML engineer at a retail company. You want to ...
- Question 56: Your team is training a large number of ML models that use d...
- Question 57: You are developing an ML model intended to classify whether ...
- Question 58: You are developing a model to identify traffic signs in imag...
- Question 59: You trained a text classification model. You have the follow...
- Question 60: You work on a data science team at a bank and are creating a...
- Question 61: You are designing an architecture with a serverless ML syste...
- Question 62: You have built a custom model that performs several memory-i...
- Question 63: You are going to train a DNN regression model with Keras API...
- Question 64: You are training a Resnet model on Al Platform using TPUs to...
- Question 65: You work for a company that is developing a new video stream...
- Question 66: You lead a data science team at a large international corpor...
- Question 67: You work for an auto insurance company. You are preparing a ...
- Question 68: You developed an ML model with Al Platform, and you want to ...
- Question 69: You work for a pharmaceutical company based in Canada. Your ...
- Question 70: You have trained a DNN regressor with TensorFlow to predict ...
- Question 71: You work for a magazine publisher and have been tasked with ...
- Question 72: You work for a company that captures live video footage of c...
- Question 73: You work for the AI team of an automobile company, and you a...
- Question 74: Your team trained and tested a DNN regression model with goo...
- Question 75: You work for a retail company. You have created a Vertex Al ...
- Question 76: You work for a large technology company that wants to modern...
- Question 77: You recently developed a deep learning model using Keras, an...
- Question 78: You are working on a classification problem with time series...
- Question 79: You have been asked to develop an input pipeline for an ML t...
- Question 80: You are an ML engineer at a bank that has a mobile applicati...
- Question 81: You are developing ML models with Al Platform for image segm...
- Question 82: You need to build an ML model for a social media application...
- Question 83: You work for a biotech startup that is experimenting with de...
- Question 84: You have created a Vertex Al pipeline that automates custom ...
- Question 85: You recently deployed a model lo a Vertex Al endpoint and se...
- Question 86: You are building a TensorFlow model for a financial institut...
- Question 87: You work with a team of researchers to develop state-of-the-...
- Question 88: Your work for a textile manufacturing company. Your company ...
- Question 89: You work as an analyst at a large banking firm. You are deve...
- Question 90: You developed a Python module by using Keras to train a regr...
- Question 91: While performing exploratory data analysis on a dataset, you...
- Question 92: You are building a real-time prediction engine that streams ...
- Question 93: You are training a custom language model for your company us...
- Question 94: You are an ML engineer at a global shoe store. You manage th...
- Question 95: You work on a team that builds state-of-the-art deep learnin...
- Question 96: You have recently used TensorFlow to train a classification ...
- Question 97: You created an ML pipeline with multiple input parameters. Y...
- Question 98: Your organization manages an online message board A few mont...
- Question 99: You work for a gaming company that has millions of customers...
- Question 100: You need to train a natural language model to perform text c...
- Question 101: You have a functioning end-to-end ML pipeline that involves ...
- Question 102: You recently developed a wide and deep model in TensorFlow. ...
- Question 103: You are building a linear regression model on BigQuery ML to...
- Question 104: You work on the data science team at a manufacturing company...
- Question 105: You work for an online grocery store. You recently developed...
- Question 106: You recently used BigQuery ML to train an AutoML regression ...
- Question 107: You need to train a regression model based on a dataset cont...
- Question 108: You are a data scientist at an industrial equipment manufact...
- Question 109: You built a custom ML model using scikit-learn. Training tim...
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