TinyDB MCQs and Answers With Explanation: TinyDB is a compact and simple NoSQL database built for small projects and mobile applications. It provides an easy way to save and retrieve data without requiring complex setup or configuration. TinyDB, like any other database, requires a thorough understanding of its features and functions to be used properly. TinyDB Multiple Choice Questions and Answers with Explanations come in handy here. These TinyDB MCQs are intended to assess your TinyDB knowledge and include extensive explanations for each answer.
TinyDB MCQs with Answers
TinyDB is a popular NoSQL database management system primarily intended for small-scale applications. Due to its ease of use and flexibility, it has become a preferred choice among developers, data analysts, and data scientists. To enhance your knowledge and skills of TinyDB, TinyDB Quiz Questions with Explanations can be highly useful. You can take a TinyDB Quiz and thoroughly understand the concept of TinyDB through the explanations provided below. In this article, we have compiled the Top 50 TinyDB MCQ Questions and Answers along with relevant explanations to assist you in preparing for interviews and exams and to improve your understanding of this advanced NoSQL database management system.
| Join Telegram |  |
| Join Whatsapp Groups |  |
TinyDB Multiple Choice Questions
| Name | TinyDB |
| Exam Type | MCQ (Multiple Choice Questions) |
| Category | Technical Quiz |
| Mode of Quiz | Online |
Top 50 TinyDB MCQ Questions and Answers | TinyDB Quiz
1. What is TinyDB?
a) A small database system for mobile devices
b) A programming language for mobile devices
c) A database system for desktop computers
d) A programming language for desktop computers
Answer: a) A small database system for mobile devices
Explanation: TinyDB is a small database system designed for mobile devices such as smartphones and tablets. It allows developers to store and retrieve data in a simple and efficient manner.
2. What programming language is used with TinyDB?
a) Java
b) Python
c) C++
d) JavaScript
Answer: b) Python
Explanation: TinyDB is designed to work with the Python programming language. Developers can use Python to interact with the database and perform various operations such as adding, retrieving, and deleting data.
3. What is the maximum number of records that can be stored in a TinyDB database?
a) 100
b) 1,000
c) 10,000
d) There is no limit
Answer: d) There is no limit
Explanation: TinyDB does not impose any limit on the number of records that can be stored in a database. However, the performance of the database may degrade as the number of records increases.
4. What is a document in TinyDB?
a) A data type used to store text
b) A collection of data fields and values
c) A programming language construct
d) A file format used for data storage
Answer: b) A collection of data fields and values
Explanation: In TinyDB, a document is a collection of data fields and values that are stored together as a single entity. Documents can be added, retrieved, and deleted from the database.
5. Which of the following operations can be performed on a TinyDB database?
a) Add a document
b) Retrieve a document
c) Delete a document
d) All of the above
Answer: d) All of the above
Explanation: TinyDB allows developers to perform various operations on a database such as adding, retrieving, and deleting documents. Developers can also perform queries to search for specific documents based on their data fields and values.
6. What is a query in TinyDB?
a) A search operation on a database
b) A programming language construct
c) A data type used for text
d) A file format used for data storage
Answer: a) A search operation on a database
Explanation: In TinyDB, a query is a search operation that developers can use to retrieve documents from a database based on specific criteria. Queries can be performed using various operators such as equality, inequality, and comparison.
7. What is an index in TinyDB?
a) A data field used for sorting
b) A programming language construct
c) A data structure used for faster searches
d) A file format used for data storage
Answer: c) A data structure used for faster searches
Explanation: In TinyDB, an index is a data structure that is used to optimize searches for specific data fields. Indexes can significantly improve the performance of a database by reducing the time it takes to search for documents.
8. Which of the following data types are supported by TinyDB?
a) Text
b) Number
c) Boolean
d) All of the above
Answer: d) All of the above
Explanation: TinyDB supports various data types such as text, numbers, and boolean values. Developers can use these data types to store and retrieve different types of data in a database.
9. What is the syntax for adding a document to a TinyDB database?
a) addDocument({field1: value1, field2: value2})
b) addDocument([field1=value1, field2=value2])
c) addDocument(“field1=value1, field2=value2”)
d) addDocument({value1: field1, value2: field2})
Answer: a) addDocument({field1: value1, field2: value2})
Explanation: The syntax for adding a document to a TinyDB database is to use the addDocument() function and pass in a dictionary object containing the data fields and their values.
10. What is the syntax for retrieving all documents from a TinyDB database?
a) getAllDocuments()
b) retrieveAll()
c) findDocuments({})
d) getDocuments({})
Answer: a) getAllDocuments()
Explanation: The syntax for retrieving all documents from a TinyDB database is to use the getAllDocuments() function. This function returns a list of all the documents in the database.
11. What is the syntax for retrieving a document from a TinyDB database based on a specific criteria?
a) findDocuments({field1: value1})
b) retrieveDocument({field1: value1})
c) getDocuments({field1: value1})
d) searchDocuments({field1: value1})
Answer: a) findDocuments({field1: value1})
Explanation: To retrieve a document from a TinyDB database based on specific criteria, developers can use the findDocuments() function and pass in a dictionary object containing the search criteria.
12. What is the syntax for deleting a document from a TinyDB database based on specific criteria?
a) removeDocuments({field1: value1})
b) deleteDocument({field1: value1})
c) deleteDocuments({field1: value1})
d) removeDocument({field1: value1})
Answer: a) removeDocuments({field1: value1})
Explanation: To delete a document from a TinyDB database based on a specific criteria, developers can use the removeDocuments() function and pass in a dictionary object containing the search criteria.
13. What is the syntax for updating a document in a TinyDB database based on a specific criteria?
a) updateDocuments({field1: value1}, {field2: value2})
b) updateDocument({field1: value1}, {field2: value2})
c) modifyDocument({field1: value1}, {field2: value2})
d) changeDocument({field1: value1}, {field2: value2})
Answer: b) updateDocument({field1: value1}, {field2: value2})
Explanation: To update a document in a TinyDB database based on a specific criteria, developers can use the updateDocument() function and pass in two dictionary objects – one containing the search criteria and the other containing the updated data fields and their values.
14. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is greater than a certain value?
a) {“field1 > value1”}
b) {“field1 >= value1”}
c) {“field1 < value1”}
d) {“field1 <= value1”}
Answer: b) {“field1 >= value1”}
Explanation: To retrieve documents where a specific data field is greater than or equal to a certain value, developers can use the {“field1 >= value1”} syntax in a TinyDB query.
15. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field matches a certain value exactly?
a) {“field1 = value1”}
b) {“field1 != value1”}
c) {“field1 > value1”}
d) {“field1 < value1”}
Answer: a) {“field1 = value1”}
Explanation: To retrieve documents where a specific data field matches a certain value exactly, developers can use the {“field1 = value1”} syntax in a TinyDB query.
16. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field contains a certain value as a substring?
a) {“field1 contains value1”}
b) {“field1 like %value1%”}
c) {“field1 matches value1”}
d) {“field1 similar value1”}
Answer: b) {“field1 like %value1%”}
Explanation: To retrieve documents where a specific data field contains a certain value as a substring, developers can use the {“field1 like %value1%”} syntax in a TinyDB query. The % symbol is a wildcard character that matches any number of characters.
17. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is in a list of values?
a) {“field1 in (value1, value2)”}
b) {“field1 not in (value1, value2)”}
c) {“field1 between (value1, value2)”}
d) {“field1 not between (value1, value2)”}
Answer: a) {“field1 in (value1, value2)”}
Explanation: To retrieve documents where a specific data field is in a list of values, developers can use the {“field1 in (value1, value2)”} syntax in a TinyDB query.
18. Which of the following is an example of a TinyDB query for retrieving documents where multiple criteria must be met?
a) {“field1 = value1 AND field2 = value2”}
b) {“field1 = value1 OR field2 = value2”}
c) {“field1 = value1, field2 = value2”}
d) {“field1 = value1 & field2 = value2”}
Answer: a) {“field1 = value1 AND field2 = value2”}
Explanation: To retrieve documents where multiple criteria must be met, developers can use the {“field1 = value1 AND field2 = value2”} syntax in a TinyDB query.
19. Which of the following is an example of a TinyDB query for retrieving documents where multiple criteria must be met, but only one of the criteria is required to be true?
a) {“field1 = value1 XOR field2 = value2”}
b) {“field1 = value1 NOT field2 = value2”}
c) {“field1 = value1, field2 = value2”}
d) {“field1 = value1 & field2 = value2”}
Answer: a) {“field1 = value1 XOR field2 = value2”}
Explanation: To retrieve documents where multiple criteria must be met, but only one of the criteria is required to be true, developers can use the {“field1 = value1 XOR field2 = value2”} syntax in a TinyDB query.
20. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is null?
a) {“field1 is null”}
b) {“field1 is not null”}
c) {“field1 = null”}
d) {“field1 != null”}
Answer: a) {“field1 is null”}
Explanation: To retrieve documents where a specific data field is null, developers can use the {“field1 is null”} syntax in a TinyDB query.
21. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is not null?
a) {“field1 is null”}
b) {“field1 is not null”}
c) {“field1 = null”}
d) {“field1 != null”}
Answer: b) {“field1 is not null”}
Explanation: To retrieve documents where a specific data field is not null, developers can use the {“field1 is not null”} syntax in a TinyDB query.
22. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is greater than or equal to a certain value?
a) {“field1 >= value1”}
b) {“field1 <= value1”}
c) {“field1 > value1”}
d) {“field1 < value1”}
Answer: a) {“field1 >= value1”}
Explanation: To retrieve documents where a specific data field is greater than or equal to a certain value, developers can use the {“field1 >= value1”} syntax in a TinyDB query.
23. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is less than or equal to a certain value?
a) {“field1 >= value1”}
b) {“field1 <= value1”}
c) {“field1 > value1”}
d) {“field1 < value1”}
Answer: b) {“field1 <= value1”}
Explanation: To retrieve documents where a specific data field is less than or equal to a certain value, developers can use the {“field1 <= value1”} syntax in a TinyDB query.
24. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is between two values?
a) {“field1 between (value1, value2)”}
b) {“field1 not between (value1, value2)”}
c) {“field1 in (value1, value2)”}
d) {“field1 not in (value1, value2)”}
Answer: a) {“field1 between (value1, value2)”}
Explanation: To retrieve documents where a specific data field is between two values, developers can use the {“field1 between (value1, value2)”} syntax in a TinyDB query.
25. Which of the following is an example of a TinyDB query for retrieving documents sorted in ascending order by a specific data field?
a) {“sort field1 ASC”}
b) {“sort field1 DESC”}
c) {“sort field1 ascending”}
d) {“sort field1 descending”}
Answer: a) {“sort field1 ASC”}
Explanation: To retrieve documents sorted in ascending order by a specific data field, developers can use the {“sort field1 ASC”} syntax in a TinyDB query.
26. Which of the following is an example of a TinyDB query for retrieving documents sorted in descending order by a specific data field?
a) {“sort field1 ASC”}
b) {“sort field1 DESC”}
c) {“sort field1 ascending”}
d) {“sort field1 descending”}
Answer: b) {“sort field1 DESC”}
Explanation: To retrieve documents sorted in descending order by a specific data field, developers can use the {“sort field1 DESC”} syntax in a TinyDB query.
27. Which of the following is an example of a TinyDB query for retrieving a specific number of documents from a certain point in the database?
a) {“limit start, count”}
b) {“limit count, start”}
c) {“range start, count”}
d) {“range count, start”}
Answer: a) {“limit start, count”}
Explanation: To retrieve a specific number of documents from a certain point in the database, developers can use the {“limit start, count”} syntax in a TinyDB query.
28. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field contains a certain substring?
a) {“field1 like ‘%substring%'”}
b) {“field1 not like ‘%substring%'”}
c) {“field1 contains ‘substring'”}
d) {“field1 not contains ‘substring'”}
Answer: a) {“field1 like ‘%substring%'”}
Explanation: To retrieve documents where a specific data field contains a certain substring, developers can use the {“field1 like ‘%substring%'”} syntax in a TinyDB query.
29. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field does not contain a certain substring?
a) {“field1 like ‘%substring%'”}
b) {“field1 not like ‘%substring%'”}
c) {“field1 contains ‘substring'”}
d) {“field1 not contains ‘substring'”}
Answer: b) {“field1 not like ‘%substring%'”}
Explanation: To retrieve documents where a specific data field does not contain a certain substring, developers can use the {“field1 not like ‘%substring%'”} syntax in a TinyDB query.
30. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field matches a certain regular expression?
a) {“field1 regex ‘regex_pattern'”}
b) {“field1 not regex ‘regex_pattern'”}
c) {“field1 match ‘regex_pattern'”}
d) {“field1 not match ‘regex_pattern'”}
Answer: a) {“field1 regex ‘regex_pattern'”}
Explanation: To retrieve documents where a specific data field matches a certain regular expression, developers can use the {“field1 regex ‘regex_pattern'”} syntax in a TinyDB query.
31. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field does not match a certain regular expression?
a) {“field1 regex ‘regex_pattern'”}
b) {“field1 not regex ‘regex_pattern'”}
c) {“field1 match ‘regex_pattern'”}
d) {“field1 not match ‘regex_pattern'”}
Answer: b) {“field1 not regex ‘regex_pattern'”}
Explanation: To retrieve documents where a specific data field does not match a certain regular expression, developers can use the {“field1 not regex ‘regex_pattern'”} syntax in a TinyDB query.
32. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field matches one of the multiple values?
a) {“field1 in (value1, value2)”}
b) {“field1 not in (value1, value2)”}
c) {“field1 = value1 OR field1 = value2”}
d) {“field1 = value1 AND field1 = value2”}
Answer: a) {“field1 in (value1, value2)”}
Explanation: To retrieve documents where a specific data field matches one of the multiple values, developers can use the {“field1 in (value1, value2)”} syntax in a TinyDB query.
33. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field matches none of multiple values?
a) {“field1 in (value1, value2)”}
b) {“field1 not in (value1, value2)”}
c) {“field1 = value1 OR field1 = value2”}
d) {“field1 = value1 AND field1 = value2”}
Answer: b) {“field1 not in (value1, value2)”}
Explanation: To retrieve documents where a specific data field matches none
34. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is less than a certain value?
a) {“field1 >= value”}
b) {“field1 <= value”}
c) {“field1 > value”}
d) {“field1 < value”}
Answer: d) {“field1 < value”}
Explanation: To retrieve documents where a specific data field is less than a certain value, developers can use the {“field1 < value”} syntax in a TinyDB query.
35. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field matches a certain value or is null?
a) {“field1 = value OR field1 = null”}
b) {“field1 != value AND field1 != null”}
c) {“field1 = value OR field1 is null”}
d) {“field1 != value AND field1 is not null”}
Answer: c) {“field1 = value OR field1 is null”}
Explanation: To retrieve documents where a specific data field matches a certain value or is null, developers can use the {“field1 = value OR field1 is null”} syntax in a TinyDB query.
36. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field does not match a certain value and is not null?
a) {“field1 = value OR field1 = null”}
b) {“field1 != value AND field1 != null”}
c) {“field1 = value OR field1 is null”}
d) {“field1 != value AND field1 is not null”}
Answer: d) {“field1 != value AND field1 is not null”}
Explanation: To retrieve documents where a specific data field does not match a certain value and is not null, developers can use the {“field1 != value AND field1 is not null”} syntax in a TinyDB query.
37. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field matches one of the multiple values or is null?
a) {“field1 in (value1, value2) OR field1 = null”}
b) {“field1 not in (value1, value2) AND field1 is not null”}
c) {“field1 = value1 OR field1 = value2 OR field1 is null”}
d) {“field1 != value1 AND field1 != value2 AND field1 is not null”}
Answer: c) {“field1 = value1 OR field1 = value2 OR field1 is null”}
Explanation: To retrieve documents where a specific data field matches one of multiple values or is null, developers can use the {“field1 = value1 OR field1 = value2 OR field1 is null”} syntax in a TinyDB query.
38. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field does not match any of multiple values and is not null?
a) {“field1 in (value1, value2) OR field1 = null”}
b) {“field1 not in (value1, value2) AND field1 is not null”}
c) {“field1 = value1 OR field1 = value2 OR field1 is null”}
d) {“field1 != value1 AND field1 != value2 AND field1 is not null”}
Answer: b) {“field1 not in (value1, value2) AND field1 is not null”}
Explanation: To retrieve documents where a specific data field does not match any of multiple values and is not null, developers can use the {“field1 not in (value1, value2) AND field1 is not null”} syntax in a TinyDB query.
39. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field contains a certain substring?
a) {“field1 contains ‘substring'”}
b) {“field1 like ‘%substring%'”}
c) {“field1 matches ‘.substring.'”}
d) {“field1 equals ‘substring'”}
Answer: b) {“field1 like ‘%substring%'”}
Explanation: To retrieve documents where a specific data field contains a certain substring, developers can use the {“field1 like ‘%substring%'”} syntax in a TinyDB query.
40. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field matches a certain regular expression pattern?
a) {“field1 contains ‘substring'”}
b) {“field1 like ‘%substring%'”}
c) {“field1 matches ‘.substring.'”}
d) {“field1 equals ‘substring'”}
Answer: c) {“field1 matches ‘.substring.'”}
Explanation: To retrieve documents where a specific data field matches a certain regular expression pattern, developers can use the {“field1 matches ‘.substring.'”} syntax in a TinyDB query.
41. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field does not match a certain regular expression
a) {“field1 not contains ‘substring'”}
b) {“field1 not like ‘%substring%'”}
c) {“field1 not matches ‘.substring.'”}
d) {“field1 not equals ‘substring'”}
Answer: c) {“field1 not matches ‘.substring.'”}
Explanation: To retrieve documents where a specific data field does not match a certain regular expression pattern, developers can use the {“field1 not matches ‘.substring.'”} syntax in a TinyDB query.
42. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is less than a certain value?
a) {“field1 < value”}
b) {“field1 <= value”}
c) {“field1 > value”}
d) {“field1 >= value”}
Answer: a) {“field1 < value”}
Explanation: To retrieve documents where a specific data field is less than a certain value, developers can use the {“field1 < value”} syntax in a TinyDB query.
43. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is within a certain range of values?
a) {“value1 < field1 < value2”}
b) {“value1 <= field1 <= value2”}
c) {“value1 < field1 <= value2”}
d) {“value1 <= field1 < value2”}
Answer: a) {“value1 < field1 < value2”}
Explanation: To retrieve documents where a specific data field is within a certain range of values, developers can use the {“value1 < field1 < value2”} syntax in a TinyDB query.
44. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is not within a certain range of values?
a) {“value1 not < field1 < value2”}
b) {“value1 not <= field1 <= value2”}
c) {“value1 not < field1 <= value2”}
d) {“value1 not <= field1 < value2”}
Answer: a) {“value1 not < field1 < value2”}
Explanation: To retrieve documents where a specific data field is not within a certain range of values, developers can use the {“value1 not < field1 < value2”} syntax in a TinyDB query.
45. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is in a list of possible values?
a) {“field1 in [‘value1’, ‘value2’, ‘value3’]”}
b) {“field1 in (‘value1’, ‘value2’, ‘value3’)”}
c) {“field1 in {‘value1’, ‘value2’, ‘value3’}”}
d) {“field1 in {‘value1’: 1, ‘value2’: 2, ‘value3’: 3}”}
Answer: a) {“field1 in [‘value1’, ‘value2’, ‘value3’]”}
Explanation: To retrieve documents where a specific data field is in a list of possible values, developers can use the {“field1 in [‘value1’, ‘value2’, ‘value3’]”} syntax in a TinyDB query.
46. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field is not in a list of possible values?
a) {“field1 not in [‘value1’, ‘value2’, ‘value3’]”}
b) {“field1 not in (‘value1’, ‘value2’, ‘value3’)”}
c) {“field1 not in {‘value1’, ‘value2’, ‘value3’}”}
d) {“field1 not in {‘value1’: 1, ‘value2’: 2, ‘value3’: 3}”}
Answer: a) {“field1 not in [‘value1’, ‘value2’, ‘value3’]”}
Explanation: To retrieve documents where a specific data field is not in a list of possible values, developers can use the {“field1 not in [‘value1’, ‘value2’, ‘value3’]”} syntax in a TinyDB query.
47. Which of the following is an example of a TinyDB query for retrieving documents where multiple data fields meet certain criteria?
a) {“field1 = value1 and field2 = value2”}
b) {“field1 = value1 or field2 = value2”}
c) {“field1 = value1 and field2 = value2 or field3 = value3”}
d) {“field1 = value1 or field2 = value2 and field3 = value3”}
Answer: a) {“field1 = value1 and field2 = value2”}
Explanation: To retrieve documents where multiple data fields meet certain criteria, developers can use the {“field1 = value1 and field2 = value2”} syntax in a TinyDB query.
48. Which of the following is an example of a TinyDB query for retrieving documents where multiple data fields meet at least one of several possible criteria?
a) {“field1 = value1 and field2 = value2”}
b) {“field1 = value1 or field2 = value2”}
c) {“field1 = value1 and field2 = value2 or field3 = value3”}
d) {“field1 = value1 or field2 = value2 and field3 = value3”}
Answer: b) {“field1 = value1 or field2 = value2”}
Explanation: To retrieve documents where multiple data fields meet at least one of several possible criteria, developers can use the {“field1 = value1 or field2 = value2”} syntax in a TinyDB query.
49. Which of the following is an example of a TinyDB query for retrieving documents where multiple data fields meet all of several possible criteria?
a) {“field1 = value1 and field2 = value2”}
b) {“field1 = value1 and field2 = value2 and field3 = value3”}
c) {“field1 = value1 or field2 = value2 or field3 = value3”}
d) {“field1 = value1 and (field2 = value2 or field3 = value3)”}
Answer: d) {“field1 = value1 and (field2 = value2 or field3 = value3)”}
Explanation: To retrieve documents where multiple data fields meet all of several possible criteria, developers can use the {“field1 = value1 and (field2 = value2 or field3 = value3)”} syntax in a TinyDB query.
50. Which of the following is an example of a TinyDB query for retrieving documents where a specific data field exists in the document?
a) {“field1 is not none”}
b) {“field1 is not null”}
c) {“field1 exists”}
d) {“field1 not none”}
Answer: c) {“field1 exists”}
Explanation: To retrieve documents where a specific data field exists in the document, developers can use the {“field1 exists”} syntax in a TinyDB query.
The TinyDB MCQ Questions and Answers and related explanations provided in this article are an excellent resource for improving your understanding of this widely used NoSQL database management system. By utilizing these TinyDB Quiz Questions, you can enhance your knowledge and skills and prepare yourself for various interviews and exams in the field of data management. Keep following our FreshersNow website for more information on technical quizzes.