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- Question 120
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Question 120/139
You work with a data engineering team that has developed a pipeline to clean your dataset and save it in a Cloud Storage bucket. You have created an ML model and want to use the data to refresh your model as soon as new data is available. As part of your CI/CD workflow, you want to automatically run a Kubeflow Pipelines training job on Google Kubernetes Engine (GKE). How should you architect this workflow?
Correct Answer: C
This option is the best way to architect the workflow, as it allows you to use event-driven and serverless components to automate the ML training process. Cloud Storage triggers are a feature that allows you to send notifications to a Pub/Sub topic when an object is created, deleted, or updated in a storage bucket. Pub/Sub is a service that allows you to publish and subscribe to messages on various topics. Pub/Sub-triggered Cloud Functions are a type of Cloud Functions that are invoked when a message is published to a specific Pub/Sub topic. Cloud Functions are a serverless platform that allows you to run code in response to events. By using these components, you can create a workflow that starts the training job on a GKE cluster as soon as a new file is available in the Cloud Storage bucket, without having to manage any servers or poll for changes. The other options are not as efficient or scalable as this option. Dataflow is a service that allows you to create and run data processing pipelines, but it is not designed to trigger ML training jobs on GKE. App Engine is a service that allows you to build and deploy web applications, but it is not suitable for polling Cloud Storage for new files, as it may incur unnecessary costs and latency. Cloud Scheduler is a service that allows you to schedule jobs at regular intervals, but it is not ideal for triggering ML training jobs based on data availability, as it may miss some files or run unnecessary jobs. References:
* Cloud Storage triggers documentation
* Pub/Sub documentation
* Pub/Sub-triggered Cloud Functions documentation
* Cloud Functions documentation
* Kubeflow Pipelines documentation
* Cloud Storage triggers documentation
* Pub/Sub documentation
* Pub/Sub-triggered Cloud Functions documentation
* Cloud Functions documentation
* Kubeflow Pipelines documentation
- Question List (139q)
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- 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...
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- 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...
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- Question 44: During batch training of a neural network, you notice that t...
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- 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...
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- 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. ...
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- 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...
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- 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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