PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #44
You are developing ML models with AI Platform for image segmentation on CT scans. You frequently update your model architectures based on the newest available research papers, and have to rerun traini
The correct answer is C. Use Cloud Build linked with Cloud Source Repositories to trigger retraining when new code is. At the heart of this architecture is Cloud Build, infrastructure. Cloud Build can import source from Cloud Source Repositories, GitHub, or Bitbucket, and then execute a build to your specifications, and produce artifacts such as Docker containers or Python tar files. https://clou
Question
Options
- AUse Cloud Functions to identify changes to your code in Cloud Storage and trigger a retraining
- BUse the gcloud command-line tool to submit training jobs on AI Platform when you update your
- CUse Cloud Build linked with Cloud Source Repositories to trigger retraining when new code is
- DCreate an automated workflow in Cloud Composer that runs daily and looks for changes in code
How the community answered
(33 responses)- A6% (2)
- B12% (4)
- C79% (26)
- D3% (1)
Explanation
At the heart of this architecture is Cloud Build, infrastructure. Cloud Build can import source from Cloud Source Repositories, GitHub, or Bitbucket, and then execute a build to your specifications, and produce artifacts such as Docker containers or Python tar files. https://cloud.google.com/architecture/architecture-for-mlops-using-tfx-kubeflow-pipelines-and- cloud-build#cicd_architecture
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