You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine.
The script is printing errors that it cannot connect to BigQuery.
What should you do to fix the script?
Click on the arrows to vote for the correct answer
A. B. C. D.B.
If you are encountering errors while connecting to Google BigQuery from a Google Compute Engine virtual machine using a Python script, there are several steps you can take to resolve the issue.
Option A: Install the latest BigQuery API client library for Python This option is a good starting point. The BigQuery API client library provides a convenient and efficient way to interact with BigQuery using Python. Make sure you have the latest version of the client library installed and configured correctly. You can install the client library using pip or by downloading the library directly from the Google Cloud Platform (GCP) website.
Option B: Run your script on a new virtual machine with the BigQuery access scope enabled If you are encountering errors connecting to BigQuery, it is possible that the virtual machine you are using does not have the required permissions to access BigQuery. You can try creating a new virtual machine and enabling the BigQuery access scope during the creation process. This will ensure that the new virtual machine has the required permissions to access BigQuery.
Option C: Create a new service account with BigQuery access and execute your script with that user Another possible issue is that the virtual machine does not have the required authentication credentials to connect to BigQuery. You can create a new service account with the necessary permissions and use it to authenticate your Python script. You will need to provide the service account with the necessary IAM roles to access BigQuery. You can then download the service account key as a JSON file and use it to authenticate your Python script.
Option D: Install the bq component for gcloud with the command gcloud components install bq. This option is not relevant for connecting to BigQuery from a Python script running on a virtual machine. The bq component is used to interact with BigQuery from the command line using the gcloud CLI tool.
In summary, the best option for fixing the issue depends on the specific error message you are encountering. Installing the latest BigQuery API client library, enabling the BigQuery access scope, and creating a new service account with the required permissions are all valid options.