Section 1 - Instruction

You've learned about cloud-native architectures. Now let's practice choosing the right cloud services for different data pipeline scenarios.

Cloud platforms offer many options, and picking the right one depends on your specific needs.

Engagement Message

Ready to become a cloud deployment strategist?

Section 2 - Practice

Type

Multiple Choice

Practice Question

Your containerized ML training pipeline runs once per week and needs powerful GPU resources for 2-3 hours. Which cloud approach makes the most sense?

A. Always-on dedicated servers with GPUs B. Serverless functions for the training job C. On-demand compute instances that scale up when needed D. Managed database services

Suggested Answers

  • A
  • B
  • C - Correct
  • D
Section 3 - Practice

Type

Sort Into Boxes

Practice Question

Sort these workload types into the most cost-effective cloud deployment strategy:

Labels

  • First Box Label: Serverless Functions
  • Second Box Label: Always-On Containers

First Box Items

  • Weekly reports
  • Data validation
  • Batch processing

Second Box Items

  • Real-time API
  • Live dashboards
  • Continuous monitoring
Section 4 - Practice

Type

Swipe Left or Right

Practice Question

Let's match container deployment patterns to their use cases. Swipe each scenario to the correct deployment strategy:

Labels

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