Official Google Cloud Certified Professional Data Engineer Study Guide

Chapter 10Choosing Training and Serving Infrastructure

Google Cloud Professional Data Engineer Exam objectives covered in this chapter include the following:

• 3. Operationalizing machine learning models
  • ✔ 3.3 Choosing the appropriate training and serving infrastructure. Considerations include:
    • Distributed vs. single machine
    • Use of edge compute
    • Hardware accelerators (e.g., GPU, TPU)

Data engineers have a wide array of options for training and serving machine learning models. GCP has a number of serverless options and specialized AI services. We discussed these topics in Chapter 9, “Deploying Machine Learning Pipelines.” This chapter focuses ...