Topic 1 Question 95
You are developing an ML model that uses sliced frames from video feed and creates bounding boxes around specific objects. You want to automate the following steps in your training pipeline: ingestion and preprocessing of data in Cloud Storage, followed by training and hyperparameter tuning of the object model using Vertex AI jobs, and finally deploying the model to an endpoint. You want to orchestrate the entire pipeline with minimal cluster management. What approach should you use?
Use Kubeflow Pipelines on Google Kubernetes Engine.
Use Vertex AI Pipelines with TensorFlow Extended (TFX) SDK.
Use Vertex AI Pipelines with Kubeflow Pipelines SDK.
Use Cloud Composer for the orchestration.
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コメント(11)
From: https://cloud.google.com/vertex-ai/docs/pipelines/build-pipeline#sdk "1. If you use TensorFlow in an ML workflow that processes terabytes of structured data or text data, we recommend that you build your pipeline using TFX. To learn more about building a TFX pipeline, follow the TFX getting started tutorials. To learn more about using Vertex AI Pipelines to run a TFX pipeline, follow the TFX on Google Cloud tutorials. 2. For other use cases, we recommend that you build your pipeline using the Kubeflow Pipelines SDK. By building a pipeline with the Kubeflow Pipelines SDK, you can implement your workflow by building custom components or reusing prebuilt components, such as the Google Cloud Pipeline Components. Google Cloud Pipeline Components make it easier to use Vertex AI services like AutoML in your pipeline."
So I guess since it is image processing, it should be Kubeflow - answer C (TFX is for structured or text data).
👍 5qaz092023/02/06- 正解だと思う選択肢: C
C "If you are using other frameworks, we recommend using Kubeflow Pipeline, which is very flexible and allows you to use simple code to construct pipelines. Kubeflow Pipeline also provides Google Cloud pipeline components such as Vertex AI AutoML." (Journey to Become a Google Cloud Machine Learning Engineer: Build the mind and hand of a Google Certified ML professional)
👍 3hiromi2022/12/19 - 正解だと思う選択肢: B
" You want to orchestrate the entire pipeline with minimal cluster management" because of that it cant be answer c i vote for b, becausse there is no cluster management with vertex ai
👍 2zeic2023/01/05
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