Which phase emphasizes deploying the model and ongoing monitoring, including retraining decisions?

Which phase emphasizes deploying the model and ongoing monitoring, including retraining decisions?

• A. Deployment and monitoring
• B. Data preparation
• C. Model development and evaluation
• D. Requirements gathering

Answer: (A)

The key idea here is operationalizing the model and watching it in the real world. This phase focuses on putting the model into production and continuously observing its performance, reliability, and data quality. It also covers deciding when to retrain the model—based on performance metrics, data drift, or changing business needs—and implementing automated processes for updates, versioning, and rollback if things go off track. In short, it’s about deployment plus ongoing governance and maintenance of the model in operation. That’s why it’s the best choice: it explicitly centers on releasing the model to users and maintaining it over time, including retraining decisions. Other phases tackle different parts of the lifecycle—data preparation handles cleaning and organizing data; model development and evaluation covers building and testing models; requirements gathering focuses on identifying needs and constraints upfront.

The key idea here is operationalizing the model and watching it in the real world. This phase focuses on putting the model into production and continuously observing its performance, reliability, and data quality. It also covers deciding when to retrain the model—based on performance metrics, data drift, or changing business needs—and implementing automated processes for updates, versioning, and rollback if things go off track. In short, it’s about deployment plus ongoing governance and maintenance of the model in operation.

That’s why it’s the best choice: it explicitly centers on releasing the model to users and maintaining it over time, including retraining decisions. Other phases tackle different parts of the lifecycle—data preparation handles cleaning and organizing data; model development and evaluation covers building and testing models; requirements gathering focuses on identifying needs and constraints upfront.