Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 35

Question

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 next step in your pipeline. You want to achieve this in the easiest way possible. What should you do?

Accepted Answer

Correct answer: D. The correct answer is D. Option D: Locate the Kubeflow Pipelines repository on GitHub. Find the BigQuery Query Component, copy that component's URL, and use it to load the component into your pipeline. Use the component to execute queries against BigQu... BigQuery is a serverless, petabyte-scale data warehouse for fast SQL analytics with no infrastructure to manage.

Google Cloud Professional Machine Learning Engineer PMLE — Question 35