Google Cloud Professional Cloud Developer Practice Test

To resolve permission errors from the BigQuery Command Line Interface (CLI) when executing queries, granting the service account the necessary roles is essential. In Google Cloud, access control is tightly integrated with Identity and Access Management (IAM). Each user, service account, or group must have the appropriate permissions to perform actions on resources such as BigQuery datasets and tables. When executing queries, the service account must have sufficient permissions like `bigquery.dataViewer` to read data or `bigquery.jobUser` to run jobs. By granting the required roles, you ensure that the service account possesses the permissions it needs to successfully execute the queries without encountering permission errors. Other options might not directly address the underlying problem of insufficient permissions. For example, creating a view or copying a table does not alleviate the permissions issue unless the service account has the necessary roles to perform those actions. Similarly, using a different dataset for querying does not inherently resolve permission issues if the new dataset also requires the same permissions that the service account lacks. Therefore, establishing the correct permissions through role assignment is the most effective solution to overcome those errors.