Why is Data Engineering so important in Data Science

Cloud Data Engineering

Week 2 Quiz

Question 1

Why is Data Engineering so important in Data Science?

1 / 1 point

You got it! Most time on Machine Learning is spent on Data Management.

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Question 2

What is an example of poor Data Governance?

1 / 1 point

You got it! Storing PII is an example of poor Data Governance.

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Question 3

Why is the principle of least privilege a Data Governance best practice?

1 / 1 point

You got it! This limits the vectors for Cyber attacks.

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Question 4

What is an example of a serverless data pipeline?

1 / 1 point

You got it! Event driven programming is a typical serverless data engineering pipeline.

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Question 5

What is the Python Click framework?

1 / 1 point

You got it! Click is similar to Flask in that they both use decorators to dispatch actions.

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Question 6

Why are Command-line tools essential to automation?

1 / 1 point

You got it! Unix heavily uses command-line tools because of this exact reason.

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Question 7

Why would streaming data present new challenges in Data Science?

1 / 1 point

You got it! The Machine Learning model may need to be retrained frequently.

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Question 8

Why would an organization want to secure an AWS root account?

1 / 1 point

You got it! If the root account is compromised, it could lead to permanent loss.

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Question 9

What is the AWS Shared Security Model?

1 / 1 point

You got it! AWS handles items like the physical data center and the AWS customer secures their own data at rest.

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Question 10

What is a command-line flag?

1 / 1 point

You got it! A command-line flag executes an additional part of the code.