PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #6
You are developing a Kubeflow pipeline on Google Kubernetes Engine. The first step in the pipeline is to issue a query against BigQuery. You plan to use the results of that query as the input to the n
The correct answer is D. Locate the Kubeflow Pipelines repository on GitHub.. Kubeflow pipelines have different types of components, ranging from low- to high-level. They have a ComponentStore that allows you to access prebuilt functionality from GitHub. https://github.com/kubeflow/pipelines/blob/master/components/gcp/bigquery/query/sample.ipynb https://v0
Question
Options
- AUse the BigQuery console to execute your query, and then save the query results into a new
- BWrite a Python script that uses the BigQuery API to execute queries against BigQuery.
- CUse the Kubeflow Pipelines domain-specific language to create a custom component that uses
- DLocate the Kubeflow Pipelines repository on GitHub.
How the community answered
(20 responses)- A5% (1)
- B5% (1)
- C15% (3)
- D75% (15)
Explanation
Kubeflow pipelines have different types of components, ranging from low- to high-level. They have a ComponentStore that allows you to access prebuilt functionality from GitHub. https://github.com/kubeflow/pipelines/blob/master/components/gcp/bigquery/query/sample.ipynb https://v0-5.kubeflow.org/docs/pipelines/reusable-components/
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