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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 programming languages ● Datasources, 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 ● Collecting, processing, and storing data ● DataLakes only ● 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 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: ● Databases only ● Databases, data warehouses, data lakes, or any other type of data repository ● DataWarehouses only 3 Q5. From the provided list, select the three emerging technologies that are shaping today’s data ecosystem. ● CloudComputing, Machine Learning, and Big Data ● BigData, Internet of Things, and Dashboarding ● Machine Language, Cloud Computing, and Internet of Things ● Cloud Computing, Internet of Things, and Dashboarding Graded Quiz 02 Answers Q1. Which one of these functional skills is essential to the role of a Data Engineer? ● Inspect analytics-ready data for deriving insights ● Proficiency in Mathematics ● Theability to work with the software development lifecycle ● Proficiency in working with ETL Tools Q2. Oracle Exadata, IBM Db2 Warehouse on Cloud, IBM Netezza Performance Server, and Amazon RedShift are some of the popular __________________ in use today. ● NoSQLDatabases ● DataWarehouses ● BigData Platforms ● True ● False ● ETLTools Q3. Data Engineers manage the infrastructure required for the ingestion, processing, and storage of data. Introduction to Data Engineering Week 02 Quiz Answers Graded Quiz 01 Answers Q1. There are two main types of data repositories– Transactional and Analytical. For high-volume day-to-day operational data such as banking transactions, Transactional, or OLTP, systems are the ideal choice. ● True 4 ● False Q2. Which of the following is an example of unstructured data? ● Zipped files ● XML ● Spreadsheets ● Video and Audio files Q3. Which one of these file formats is independent of software, hardware, and operating

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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

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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:
● 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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