Google Professional Data Engineer Question 119
Select 3Google Cloud PlatformYou are working as a data engineer for a company that has adopted Google Cloud for its data pipeline workloads. The team wants to implement a CI/CD pipeline for deploying Dataflow jobs as part of their ETL process. Which of the following steps should you include in your CI/CD pipeline to ensure proper deployment and version control of the Dataflow jobs?
- A
Use Cloud Build to automate the testing and deployment of Dataflow job templates.
- B
Store your Dataflow job code and configuration files in a version control system such as Git.
- C
Deploy Dataflow jobs to production directly from a developer's local machine to save time.
- D
Implement automated unit and integration testing for the Dataflow job code as part of the CI/CD pipeline.
- E
Manually monitor the Dataflow job execution logs before deploying the job to production.
Show answer and explanation
Correct answers: A, B, D
Explanation
To implement a CI/CD pipeline for Dataflow jobs, you need to focus on automation, version control, and testing. Using Cloud Build for automation, storing code in a version control system, and implementing automated testing are all critical components of a robust CI/CD pipeline. Avoid practices like manual monitoring and direct deployment from local machines, as they go against CI/CD principles and can introduce errors or inconsistencies in the deployment process.
- A. Correct.
Using Cloud Build is essential for automating the CI/CD pipeline, including building, testing, and deploying Dataflow job templates.
- B. Correct.
Version control systems like Git are critical for tracking changes to your Dataflow job code and ensuring collaboration among team members.
- C. Incorrect.
Deploying directly from a developer's local machine is not a best practice because it bypasses CI/CD principles like automated testing and controlled environments.
- D. Correct.
Automated unit and integration testing ensure the reliability of your Dataflow jobs before deployment, which is a key component of a robust CI/CD pipeline.
- E. Incorrect.
Manually monitoring execution logs before deployment is inefficient and does not align with the automation principles of CI/CD.