Google Cloud Certified Professional Cloud Developer Practice Mode

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose A1

  As read from google cloud docs "Batch query jobs. With these jobs, BigQuery queues each batch query on your behalf and then starts the query when idle resources are available, usually within a few minutes."

• Chose A1

  A. Ask the user to run the jobs as batch jobs. Running BigQuery jobs as batch jobs is a good solution when there is no concern about how long it takes to complete these jobs. Batch jobs are executed when BigQuery has available resources, which ensures that they do not interfere with high-priority workloads. This is also a cost-effective solution since it does not require additional resources or the overhead of managing a separate project. BigQuery automatically prioritizes interactive jobs over batch jobs, so important workloads are less likely to be interrupted.

• Chose A1

  Batch jobs in BigQuery are not subject to the usual quota limits and do not count towards your concurrent rate limit, which makes them suitable for running large queries and reducing costs. They are executed when system resources become available, so there might be a delay, but since the user isn’t concerned about the time it takes to run these jobs, this would be a suitable solution