NCA-GENM Question 187
Select 3You are leading a team that is developing a multimodal generative AI application integrating image and text synthesis. To ensure adherence to best practices and maintain high standards of software quality and reliability, which steps should you implement during the development process?
- A
Implement continuous integration and continuous deployment (CI/CD) pipelines to automate testing and deployment.
- B
Rely solely on manually inspecting the code for potential issues to save time.
- C
Conduct regular performance benchmarking to ensure the model meets latency and throughput requirements.
- D
Integrate unit tests, integration tests, and stress tests specific to the multimodal AI pipeline.
- E
Ignore error handling for edge cases to simplify the development process.
Show answer and explanation
Correct answers: A, C, D
Explanation
Adhering to best practices for software quality and reliability involves implementing automated testing and deployment pipelines, conducting performance benchmarks, and integrating robust testing strategies. These practices help identify potential issues early, ensure the system meets user expectations, and maintain overall software reliability. Neglecting practices like error handling or depending solely on manual processes can compromise quality and lead to failures.
- A. Correct.
Implementing CI/CD pipelines is a best practice that ensures automated testing, reliable deployments, and consistent quality throughout the software development lifecycle.
- B. Incorrect.
Relying solely on manual code inspection is not sufficient to ensure software quality and reliability, as it is error-prone and does not scale well for complex systems.
- C. Correct.
Regular performance benchmarking ensures that the multimodal AI application meets the expected performance standards, which is crucial for its reliability and user experience.
- D. Correct.
Integrating comprehensive tests such as unit tests, integration tests, and stress tests ensures that different components of the multimodal AI pipeline work as expected and are resilient under varying loads.
- E. Incorrect.
Ignoring error handling for edge cases is a poor practice that can lead to unexpected failures, reducing the reliability of the system.