What is a key consideration when deploying a machine learning model in a cloud e

Practice Questions

Q1
What is a key consideration when deploying a machine learning model in a cloud environment?
  1. Data storage capacity
  2. Network latency
  3. Model training time
  4. Feature engineering

Questions & Step-by-Step Solutions

What is a key consideration when deploying a machine learning model in a cloud environment?
  • Step 1: Understand what network latency means. It refers to the time it takes for data to travel from one point to another over the internet.
  • Step 2: Recognize that when you deploy a machine learning model in the cloud, it needs to send and receive data over the network.
  • Step 3: Realize that if the network is slow (high latency), it will take longer for the model to get the data it needs and to send back results.
  • Step 4: Consider how this delay can impact the performance of your application, especially if it requires real-time responses.
  • Step 5: Plan for ways to minimize network latency, such as choosing a cloud provider with data centers close to your users.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely