AWS Data Engineering - Data Driven Organizations

Data analytics uses programming logic to answer questions from structured data with a limited number of variables.

• True

• False

A data pipeline only involves collecting and storing data.

• True

• False

Data scientists primarily focus on building infrastructure for data to pass through.

• True

• False

Machine learning can automate an application’s ability to improve the quality of its predictions.

• True

• False

Organizations need to collect all types of data available to fuel future decisions and increase prediction accuracy.

• True

• False

Which of the following is NOT a modern data strategy advised by AWS?

• Modernize

• Unify

• Diversify

• Innovate

What is the main role of data analytics in a data-driven organization?

• To store data

• To analyze data for actionable insights

• To clean and normalize data

• To secure data

Which of these is a task that might be performed by both data engineers and data scientists?

• Designing cloud infrastructure

• Creating visualizations of data analysis

• Iterating on data processing

• All of the above

What does AI/ML approach in a data-driven decision-making scenario primarily involve?

• Using rule-based logic for predictions

• Learning from data examples to make predictions

• Employing traditional statistical methods

• Relying solely on human analysis

Data wrangling in a data pipeline could include all of the following EXCEPT:

• Discovering data details

• Normalizing data

• Augmenting data with extra features

• Final decision-making