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Graded Assignment • 30 min
Which of the following statements are true about "loosely-coupled systems" ? Select all that apply.
Yes! With loosely coupled systems, you can easily swap out components for new ones, allowing you to always be architecting and constantly adapting to the changes in business requirements and available technology.
Nice work! APIs allowed teams at Amazon to communicate and serve data and functionality through a stable interface. This allowed individual teams to plug into one another, and any reconfiguration or retooling within any given team did not affect the others.
Nice job! Loosely-coupled systems allow for decisions to be reversed, because you can introduce a new/updated component without disturbing your overall system.
In which of the following scenarios would you consider running your data engineering workloads on premises vs. on the cloud? Select all that apply.
Since you’re expecting no fluctuations in the demand and your organization already has the needed resources, then it makes sense to run the workload on-premises.
If you keep your workload on premises, you can have full control over your data and where it must be stored, as required by law.
Which of the following is true about serverless computing?
With a serveless option, you can use services or run applications without managing the servers behind the scenes.
What is Enterprise Architecture? (As defined in this course)
Nice job!
This week you saw two examples of security approaches that you can take to protect your data: the “zero-trust” approach and the “hardened-perimeter” approach. What is the main difference between the two approaches?
That’s right, and in the modern era of cloud computing, where resources are typically connected over the internet, the notion of a “hardened-perimeter” has eroded, such that you should adopt a zero-trust approach in all the data systems you build.
True or False: The statement “you can think of batch processing as a special case of streaming” simply means that, since data is just information about events that are happening continuously out in the world, essentially all data is streaming at its source. Therefore, streaming ingestion could be thought of as the most natural or basic approach, while batch ingestion just imposes arbitrary boundaries on that same stream of data.
That’s right!
When it comes to considerations around building your own solution from scratch versus using an available open source or managed service, what does it mean to “avoid undifferentiated heavy lifting”? Select all that apply.
That’s right, in some cases, a free open source solution may seem appealing but if the time and resources it would take to implement and maintain it are significant, a managed or proprietary service could be cheaper in the long run and free you up to do other work.
That’s right, oftentimes using an available open source or managed service solution will actually be cheaper than paying a team to build from scratch and free you up to focus on other tasks instead of spending time deploying and maintaining a custom tool.
“Choose common components wisely” is one of the principles of good data architecture. Which of the following statements are true about this principle? Select all that apply.
Common components can be anything that has broad applicability within an organization, including things like object storage, version-control systems, observability, monitoring and orchestration systems, and visualization tools.
Making a wise choice of common components that will be used across teams means you are identifying opportunities, removing barriers to productivity and avoiding one-size-fits-all solutions.
What are the key pillars of the AWS Well-Architected Framework?
That’s right! You can think of these pillars as a set of principles that will help you have productive conversations about your existing solutions and help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.
