NCA-GENM Question 136
Select 4A team is building a generative AI model that processes multimodal data. To ensure the model performs optimally, they need to monitor the functioning of data collection pipelines, experiments, and other processes. Which of the following actions should they take to effectively monitor these processes?
- A
Set up automated alerts for anomalies in data collection pipelines.
- B
Regularly validate the data collected against predefined quality metrics.
- C
Rely solely on the final model performance metrics to determine issues in the data pipeline.
- D
Use logging and visualization tools to track experiment outcomes and system performance.
- E
Periodically test the system with synthetic datasets to check for unexpected behavior.
Show answer and explanation
Correct answers: A, B, D, E
Explanation
Monitoring the functioning of data collection, experiments, and other processes requires a proactive and comprehensive approach. Automated alerts, data validation, logging tools, and synthetic testing all contribute to detecting and resolving issues effectively. Solely relying on final model performance metrics is inadequate as it fails to address potential intermediate bottlenecks or errors.
- A. Correct.
Setting up automated alerts helps detect issues in real-time, ensuring problems in the data pipelines are identified and addressed promptly.
- B. Correct.
Validating data against quality metrics ensures that the data collected is reliable and suitable for training, reducing the risk of flawed model performance.
- C. Incorrect.
Relying solely on final model performance metrics is insufficient because it does not provide insights into specific issues in data collection or intermediate processes.
- D. Correct.
Logging and visualization tools provide detailed insights into how experiments and systems are functioning, helping to identify issues efficiently.
- E. Correct.
Testing with synthetic datasets is a proactive way to uncover unexpected behaviors in the system, ensuring robustness during deployment.