Which tool is commonly used for model deployment in MLOps?
Practice Questions
Q1
Which tool is commonly used for model deployment in MLOps?
TensorFlow Serving
Pandas
NumPy
Matplotlib
Questions & Step-by-Step Solutions
Which tool is commonly used for model deployment in MLOps?
Step 1: Understand what model deployment means. It is the process of making a machine learning model available for use in real-world applications.
Step 2: Learn about MLOps, which stands for Machine Learning Operations. It is a set of practices that combines machine learning and software engineering.
Step 3: Identify tools used in MLOps for deploying models. One of the popular tools is TensorFlow Serving.
Step 4: Know that TensorFlow Serving is specifically designed to serve machine learning models in production environments, making it easier to manage and scale them.
