Introduction to Data Engineering Coursera Quiz Answers 2024
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Introduction to Data Engineering Week 01 Quiz Answers
Q1. A modern data ecosystem includes a network of continually evolving entities. It
includes:
● Datasources, databases, and programming languages
● Social media sources, data repositories, and APIs
● Dataproviders, databases, and...
Introduction to Data Engineering
Coursera Quiz Answers 2024
Table of Contents
Introduction to Data Engineering Week 01 Quiz Answers
Graded Quiz 02 Answers
Introduction to Data Engineering Week 02 Quiz Answers
Graded Quiz 01 Answers
Graded Quiz 02 Answers
Graded Quiz 03 answers
Introduction to Data Engineering Week 03 Quiz Answers
Graded Quiz 01 Answers
Graded Quiz 02 Answers
Graded Quiz 03 Answers
Graded Quiz 04 Answers
Introduction to Data Engineering Week 04 Quiz Answers
Graded Quiz Answers
, 2
Introduction to Data Engineering Week 01 Quiz Answers
Q1. A modern data ecosystem includes a network of continually evolving entities. It
includes:
● Data sources, databases, and programming languages
● Social media sources, data repositories, and APIs
● Data providers, databases, and programming languages
● Data sources, enterprise data repository, business stakeholders, and tools,
applications, and infrastructure to manage data
Q2. Data Engineers work within the data ecosystem to:
● Develop and maintain data architectures
● Analyze data for actionable insights
● Analyze data for deriving insights
● Provide business intelligence solutions by monitoring data on different business
functions
Q3. The goal of data engineering is to make quality data available for fact-finding and
decision-making. Which one of these statements captures the process of data
engineering?
● Processing data and making it available to users securely
● Collecting, processing, and storing data
● Collecting, processing, and making data available to users securely
● Collecting, processing, storing, and making data available to users
securely
Q4. Data extracted from disparate sources can be stored in:
● Data Lakes only
● Databases only
● Databases, data warehouses, data lakes, or any other type of data
repository
● Data Warehouses only
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