Data Analytics MCQs 2

The post is about Data Analytics MCQs. There are 20 multiple-choice questions for preparation for various subjects related to BS Data Analytics Degree Programs. Let us start with the Data Analytics MCQs with Answers.

Online Data Analytics MCQs with Answers

1. What is one example of the relational databases discussed in the video?

 
 
 
 

2. Data Analysts work within the data ecosystem to:

 
 
 
 

3. Which one of the provided file formats is commonly used by APIs and Web Services to return data?

 
 
 
 

4. Which of the data analyst functional skills helps research and interpret data, theorize, and make forecasts?

 
 
 
 

5. When we analyze data to understand why an event took place, which of the four types of data analytics are we performing?

 
 
 
 

6. A modern data ecosystem includes a network of continually evolving entities. It includes:

 
 
 
 

7. What, according to Sivaram Jaladi, goes a long way in lending credibility to your data analysis findings?

 
 
 
 

8. From the provided list, select the three emerging technologies that are shaping today’s data ecosystem.

 
 
 
 

9. In “A Day in the Life of a Data Analyst”, what according to Sivaram Jaladi forms a large part of a Data Analyst’s job?

 
 
 
 

10. Why is proficiency in Statistics an important skill for a Data Analyst?

 
 
 
 

11. The first step in the data analysis process is to gain an in-depth understanding of the problem and the desired outcome. What are you seeking answers to at this stage of the data analysis process?

 
 
 
 

12. Which of these is one of the soft skills required to be a successful Data Analyst?

 
 
 
 

13. Which of the data roles is responsible for extracting, integrating, and organizing data into data repositories?

 
 
 
 

14. What data type is typically found in databases and spreadsheets?

 
 
 
 

15. In “A Day in the Life of a Data Analyst”, what are some of the data points that were useful in analyzing the use case?

 
 
 
 

16. Which of these skills is essential to the role of a Data Analyst?

 
 
 
 

17. Which emerging technology has made it possible for every enterprise to have access to limitless storage and high-performance computing?

 
 
 
 

18. Which of these data sources is an example of semi-structured data?

 
 
 
 

19. When you analyze historical data to predict future outcomes what type of Data Analytics are you performing?

 
 
 
 

20. From the provided list, select the three emerging technologies that are shaping today’s data ecosystem.

 
 
 
 

Online Data Analytics MCQs with Answers

  • Which emerging technology has made it possible for every enterprise to have access to limitless storage and high-performance computing?
  • Which of the data roles is responsible for extracting, integrating, and organizing data into data repositories?
  • When you analyze historical data to predict future outcomes what type of Data Analytics are you performing?
  • A modern data ecosystem includes a network of continually evolving entities. It includes:
  • Data Analysts work within the data ecosystem to:
  • When we analyze data to understand why an event took place, which of the four types of data analytics are we performing?
  • The first step in the data analysis process is to gain an in-depth understanding of the problem and the desired outcome. What are you seeking answers to at this stage of the data analysis process?
  • From the provided list, select the three emerging technologies that are shaping today’s data ecosystem.
  • From the provided list, select the three emerging technologies that are shaping today’s data ecosystem.
  • Which of these skills is essential to the role of a Data Analyst?
  • What, according to Sivaram Jaladi, goes a long way in lending credibility to your data analysis findings?
  • Why is proficiency in Statistics an important skill for a Data Analyst?
  • Which of these is one of the soft skills required to be a successful Data Analyst?
  • Which of the data analyst functional skills helps research and interpret data, theorize, and make forecasts?
  • In “A Day in the Life of a Data Analyst”, what according to Sivaram Jaladi forms a large part of a Data Analyst’s job?
  • In “A Day in the Life of a Data Analyst”, what are some of the data points that were useful in analyzing the use case?
  • What data type is typically found in databases and spreadsheets?
  • Which of these data sources is an example of semi-structured data?
  • Which one of the provided file formats is commonly used by APIs and Web Services to return data?
  • What is one example of the relational databases discussed in the video?
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