Looker Quiz - 40 Multiple Choice Questions PDF

Looker Quiz: 40 Multiple Choice Questions 1. Which of the following is NOT a core Looker best practice? a) Using hardcoded values in explores. b) Creating reusable views and explores. c) Using LookML to define data models. d) Implementing proper data lineage. Answer: a) Using hardcoded values in ex...

Looker Quiz: 40 Multiple Choice Questions 1. Which of the following is NOT a core Looker best practice? a) Using hardcoded values in explores. b) Creating reusable views and explores. c) Using LookML to define data models. d) Implementing proper data lineage. Answer: a) Using hardcoded values in explores. 2. What is the primary purpose of caching in Looker? a) To increase data storage capacity. b) To improve query performance by storing frequently accessed results. c) To enhance data security. d) To facilitate data migration. Answer: b) To improve query performance by storing frequently accessed results. 3. Which of the following is NOT a type of persistence in Looker? a) Data warehouse persistence. b) Explore persistence. c) View persistence. d) Dashboard persistence. Answer: a) Data warehouse persistence. 4. What is the main benefit of using derived tables in Looker? a) To increase the size of your data warehouse. b) To improve data security. c) To simplify complex calculations and improve query performance. d) To reduce the number of joins in your explores. Answer: c) To simplify complex calculations and improve query performance. 5. How do native derived tables differ from SQL derived tables in Looker? a) Native derived tables are more secure. b) Native derived tables are defined within LookML, while SQL derived tables are defined using SQL. c) Native derived tables are always faster. d) SQL derived tables can only be used with specific databases. Answer: b) Native derived tables are defined within LookML, while SQL derived tables are defined using SQL. 6. What is the primary purpose of Row Level Security (RLS) in Looker? a) To hide specific columns from users. b) To restrict the rows of data a user can see based on their attributes. c) To encrypt sensitive data. d) To control access to dashboards. Answer: b) To restrict the rows of data a user can see based on their attributes. 7. What is the primary purpose of Column Level Security (CLS) in Looker? a) To hide specific columns of data from users based on their attributes. b) To restrict the rows of data a user can see based on their attributes. c) To encrypt sensitive data. d) To control access to dashboards. Answer: a) To hide specific columns of data from users based on their attributes. 8. What are Maps used for in Looker? a) To define data sources. b) To translate values in your data. c) To create visualizations. d) To implement RLS. Answer: b) To translate values in your data. 9. Which of the following is NOT a valid Liquid filter? a) upcase b) downcase c) sum d) replace Answer: c) sum 10. What does the following Liquid code do? {{ user.department | upcase }} a) Converts the user's department to lowercase. b) Converts the user's department to uppercase. c) Replaces spaces in the user's department with underscores. d) Returns the length of the user's department. Answer: b) Converts the user's department to uppercase. 11. What is the main purpose of using explores in Looker? a) To define data sources. b) To create a simplified interface for users to interact with the data. c) To implement RLS. d) To write SQL queries. Answer: b) To create a simplified interface for users to interact with the data. 12. Which of the following is a key component of good data modeling in Looker? a) Using as many joins as possible. b) Creating large, complex views. c) Creating reusable views and explores. d) Avoiding the use of dimensions. Answer: c) Creating reusable views and explores. 13. What is the purpose of using dimensions in Looker? a) To perform calculations. b) To categorize and filter data. c) To store raw data. d) To create visualizations. Answer: b) To categorize and filter data. 14. How can you improve the performance of your Looker explores? a) Use caching and persistence effectively. b) Increase the number of joins in your explores. c) Avoid using dimensions. d) Use hardcoded values whenever possible. Answer: a) Use caching and persistence effectively. 15. What is the purpose of using measures in Looker? a) To perform calculations on your data. b) To categorize and filter data. c) To store raw data. d) To create visualizations. Answer: a) To perform calculations on your data. 16. What is the purpose of using filters in Looker? a) To perform calculations on your data. b) To limit the data displayed in a view or explore. c) To create visualizations. d) To define data sources. Answer: b) To limit the data displayed in a view or explore. 17. What is the purpose of using joins in Looker? a) To combine data from multiple tables. b) To perform calculations on your data. c) To create visualizations. d) To define data sources. Answer: a) To combine data from multiple tables. 18. What is the purpose of using parameters in Looker? a) To define data sources. b) To perform calculations on your data. c) To allow users to customize their analysis. d) To create visualizations. Answer: c) To allow users to customize their analysis. 19. What is the purpose of using LookML? a) To define the structure and logic of your data models. b) To write SQL queries. c) To create visualizations. d) To store raw data. Answer: a) To define the structure and logic of your data models. 20. What is the purpose of using explores in Looker? a) To define data sources. b) To create a simplified interface for users to interact with the data. c) To implement RLS. d) To write SQL queries. Answer: b) To create a simplified interface for users to interact with the data. 21. What is the purpose of using views in Looker? a) To create reusable sets of data. b) To create visualizations. c) To store raw data. d) To implement RLS. Answer: a) To create reusable sets of data. 22. How can you improve the performance of your Looker explores? a) Use caching and persistence effectively. b) Increase the number of joins in your explores. c) Avoid using dimensions. d) Use hardcoded values whenever possible. Answer: a) Use caching and persistence effectively. 23. What is the purpose of using dimensions in Looker? a) To perform calculations. b) To categorize and filter data. c) To store raw data. d) To create visualizations. Answer: b) To categorize and filter data. 24. What is the purpose of using measures in Looker? a) To perform calculations on your data. b) To categorize and filter data. c) To store raw data. d) To create visualizations. Answer: a) To perform calculations on your data. 25. What is the purpose of using filters in Looker? a) To perform calculations on your data. b) To limit the data displayed in a view or explore. c) To create visualizations. d) To define data sources. Answer: b) To limit the data displayed in a view or explore. 26. What is the purpose of using joins in Looker? a) To combine data from multiple tables. b) To perform calculations on your data. c) To create visualizations. d) To define data sources. Answer: a) To combine data from multiple tables.