 If you are enrolled in the IBM Data Engineering course on Coursera, you might be seeking additional resources to enhance your learning and test your understanding. Below are some example practice questions with multiple-choice options to assist you in preparing for the quizzes. Good luck with your studies!
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Question 1: Which one of these functional skills is
essential to the role of a Data Engineer?
a) Proficiency in Mathematics
b) Inspect analytics-ready data for deriving insights
c) Proficiency in working with ETL Tools
d) The ability to work with the software development
lifecycle
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Correct Answer: Scroll Down
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Question 2: Oracle Exadata, IBM Db2 Warehouse on Cloud,
IBM Netezza Performance Server, and Amazon RedShift are some of the popular
__________________ in use today.
a) ETL Tools
b) NoSQL Databases
c) Big Data Platforms
d) Data Warehouses
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Correct Answer: Scroll Down
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Question 3: To ensure business stakeholders can see
real-time data each time they log into the dashboard, Sarah decided to build
_______________ to extract, transform, and load data on an ongoing basis.
a) A Data Pipeline
b) APIs
c) A sentiment analysis algorithm
d) A Python program
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Correct Answer: Scroll Down
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By
practicing these questions, you'll be better prepared for your IBM Data
Engineering quizzes on Coursera. Remember, consistent practice and
understanding the concepts behind each question is key to success. Good luck
with your studies!
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Keywords:
IBM
Data Engineering
Coursera
quizzes
Data
Engineering practice questions
Data
pipeline ETL
Data
warehouses
Software
development lifecycle
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Description:
Prepare
for your IBM Data Engineering quizzes on Coursera with these practice questions
and answers. Test your knowledge and enhance your understanding of data
engineering concepts.