Troubleshooting Integration Testing Failure

B.

When a container running a Python script fails during integration testing, the following steps can be taken to identify and resolve the issue:

1. Check the error logs: The first step is to check the error logs generated during the integration testing phase. These logs will provide information about the error that occurred, including the line number where the error occurred, the type of error, and any relevant stack trace. This information can help pinpoint the issue.

2. Review the code: The next step is to review the code thoroughly. Ensure that the code is correct and follows best practices. Check for syntax errors, logical errors, and any other issues that may be causing the failure.

3. Verify the build process: Verify that the build process is working correctly on the container. Ensure that all the necessary modules and packages are installed during the build process. Verify that the correct version of Python is installed on the container. Check the Dockerfile to ensure that the correct port is exposed.

4. Check the working directory: Verify that the script is running from the correct directory. If the script is expecting certain files or directories to be in a specific location, ensure that they are present.

In this scenario, as the build process is working on this container and all other containers pass unit and integration testing, we can rule out options B and D, which are related to the build process. Option A is relevant if the container needs to expose a specific port, but it is not likely to cause a failure during integration testing. The most likely cause of the failure is that the Python script is running from the wrong directory, so option C is the correct answer.