NCA-GENL Question 175
Select 3As part of monitoring the functioning of data collection for a generative AI project, you notice a sudden drop in data ingestion from your data pipeline. Which of the following actions should you prioritize to resolve the issue?
- A
Verify if the data source is still operational and accessible.
- B
Retrain the generative AI model immediately to accommodate the missing data.
- C
Check the logs of the data pipeline for errors or failures.
- D
Evaluate if the collected data aligns with the expected schema or format.
- E
Increase the batch size of data collection to compensate for the drop.
Show answer and explanation
Correct answers: A, C, D
Explanation
Monitoring the functioning of data collection involves diagnosing and resolving issues at a systemic level. Prioritizing actions like verifying the data source, examining pipeline logs, and ensuring data schema compliance address the root causes of data ingestion failures. Actions like retraining the model or increasing batch sizes are secondary and may not resolve the underlying problem.
- A. Correct.
Verifying the data source ensures that the root cause is not upstream, such as an inaccessible source or a network issue.
- B. Incorrect.
Retraining the model without addressing the data collection issue could waste resources and lead to training on incomplete or erroneous data.
- C. Correct.
Checking the logs helps identify any issues in the data pipeline, such as system errors, misconfigurations, or hardware failures.
- D. Correct.
Evaluating the data schema ensures that even if data is being collected, it is in the expected format and usable for downstream processes.
- E. Incorrect.
Increasing the batch size does not address the root cause of a drop in data ingestion and may exacerbate the issue if the system is already under stress.