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Graded Assignment • 30 min
What are the key elements of any requirements gathering conversation as discussed in the videos? Select all that apply.
Indeed, this is critical because stakeholders may describe their needs using phrases like “real-time” but only when you understand the action they plan to take can you start to translate their needs into actual system requirements. This was described as one of the key elements of requirements gathering in the “Translate Stakeholder Needs into Specific Requirements” video
That’s right. Oftentimes stakeholder conversations will lead you to discover there are others you need to talk to as well. This was described as one of the key elements of requirements gathering in the “Translate Stakeholder Needs into Specific Requirements” video
That’s right, it’s important to first understand any existing systems or solutions before starting your work to modify or replace them. This was described as one of the key elements of requirements gathering in the “Translate Stakeholder Needs into Specific Requirements” video
Yes, this is important because your stakeholder’s pain points with any existing systems will be important to consider when designing a new system. This was described as one of the key elements of requirements gathering in the “Translate Stakeholder Needs into Specific Requirements” video
Which of the following best describes data engineering as defined in this course?
Nice job! The complete definition as stated in this course and in the book also included a second sentence mentioning the undercurrents of the data engineering lifecycle: “Data engineering is the intersection of security, data management, DataOps, data architecture, orchestration, and software engineering.”
What is the difference between a region and an availability zone on the AWS cloud?
Each AWS region contains at least 3 isolated and physically separated availability zones. Each availability zone contains a group of one or more discrete data centers with redundant power, networking and physical security.
Which of the following statements are correct about virtual servers? Select all that apply.
Nice work!
Nice work!
Nice work! The benefit of this virtualization is that you can create more than one virtual machine that shares the same underlying physical resources.
What’s the difference between business requirements, stakeholder requirements, and system requirements as described in this week’s videos?
Great work! These are the definitions defined in the video about System Requirements.
What are the key steps you should take in the first stage of any data engineering project as presented in the “framework for thinking like a data engineer”? Select all that apply.
That’s right. Before starting any data engineering project it’s important to understand the goals of the business and know who the stakeholders are that you will serve. This will inform the requirements for the system you need to build.
Good job! In the first stage of any data engineering project, you should have conversations with individual stakeholders to learn what systems are currently in place and what needs stakeholders have beyond what the current systems are providing. This will inform the requirements for the system you need to build.
That’s right. Before designing and building any systems, you should understand what action stakeholders plan to take, as this will inform the requirements for your system.
Which of the following statements are true about VPC (Virtual Private Cloud)? Select all that apply.
Nice work!
Nice work! A VPC exists inside a region, which can contain more than one VPC, and a VPC spans multiple availability zones inside the region. VPC is a way to isolate your resources (for example EC2) from the outside world.
This week you were introduced to the diagram of the data engineering lifecycle, depicted below.
Which of the following statements are true about the diagram of the data engineering lifecycle? Select all that apply.
That’s right, data storage is involved in every stage of the data engineering lifecycle, even in the generation stage, although that’s not shown in the diagram since data generation is not your focus as a data engineer.
That’s right. The undercurrents represent aspects of data engineering that will be relevant no matter which stage you’re working in.
Nice work! These are the stages that are the focus of your work as a data engineer.
Consider the following scenario:
You work as a data engineer at a financial institution. You were tasked with building a pipeline to serve data for the data science team of the “clients services” department. You learned that the data scientists are interested in predicting customer churn, or in other words, being able to predict whether a given customer is likely to stop doing business with the bank. You met with the data scientists who told you that they’d like you to provide them with historical information about active and inactive customers, such as their past transactions, credit information, and account information. The data scientists will then analyze this data and build a churn prediction model. You learned that the information requested by the data scientists exists in several databases maintained by software engineers from different bank departments.
Identify the upstream and downstream stakeholders.
Good job! Upstream stakeholders represent the stakeholders that create and/or maintain the source systems you will ingest data from. Downstream stakeholders are the end-users to whom you’re serving the data.
Which of the following statements best describes the AWS “shared responsibility model”?
That’s right, and this means that the security of the infrastructure and services that make up the cloud is AWS’s responsibility and the security of the systems you build on the cloud is your responsibility.
