Exam Certified Machine Learning Professional topic 1 question 23 discussion

While the question highlights the importance of rigorous data tests for streaming deployments, none of the provided options fully and accurately describe the core reason for these tests. The primary reason is to ensure the reliability and robustness of the streaming system in handling changes in data formats or unexpected inputs, which are common in real-time streaming scenarios.

All of these statements is not logically possible. Otherwise it would include also "non of these statements".

Agree with Bokninja

agree with BokNinja

A is correct

The correct answer is B. All of these statements. In a streaming deployment, the system is always on and continuously processing data. Therefore, it’s crucial to handle all types of data without producing an error. Rigorous data tests and checks can help ensure that the system can handle changes in data formats and continue to operate smoothly. Additionally, because the system is always on, there may not be a practitioner available to debug poor model performance in real-time. Data tests and checks can help catch potential issues before they impact model performance. Finally, because the system is always on, it’s important to confirm that the deployment can autoscale to handle varying data volumes. Data tests and checks can help validate the system’s ability to scale.