Question: In managing ML training processes for telecom network management systems, what is a key capability required for consumers interacting with the training process?
Option 1: Only initiating new ML model training with predefined datasets
Option 2: Suspending or restarting the ML training process as needed
Option 3: Solely monitoring the training progress without intervention capabilities
Option 4: Exclusively providing post-training evaluation feedback
Explanation: Effective management of ML training processes in telecom networks involves not just initiating training but also having control over the process. This includes being able to suspend or restart the training as needed, which is crucial for adapting to changing network conditions, updating datasets, or addressing performance issues. This capability ensures flexibility and efficiency in achieving desired outcomes from ML-driven analytics and decision-making processes.