TN Online TestSamacheer Kalvi practice

12th Standard Computer Science — Data Abstraction: Book Back Online Practice Test

Share this chapter: Telegram

Pick how many questions you want and set a time limit, then start. You'll get your score at the end with the correct answer and an explanation for every question. Free, in Tamil and English — 10 questions available.

Set up your test

Time remaining00:00
Q1
Which of the following functions that build the abstract data type?
Q2
Which of the following functions that retrieve information from the data type?
Q3
The data structure which is a mutable ordered sequence of elements is called
Q4
A sequence of immutable objects is called
Q5
The data type whose representation is known are called
Q6
The data type whose representation is unknown are called
Q7
Which of the following is a compound structure?
Q8
Bundling two values together into one can be considered as
Q9
Which of the following allow to name the various parts of a multi-item object?
Q10
Which of the following is constructed by placing expressions within square brackets?

More for this chapter

Book Back Questions10 textbook MCQs · solved Additional MCQs15 extra MCQs · solved Practice TestInteractive · instant score Additional MCQ TestTest yourself on the extra set Study NotesConcepts & methods Formula SheetAll key formulas

About this Data Abstraction test

This free online practice test covers Data Abstraction from the 12th Standard Computer Science (Samacheer Kalvi) syllabus. Choose the number of questions and an optional time limit, then answer and submit — everything is checked in your browser, with the correct answers and a worked explanation shown at the end. For the full solutions to every question in this set, see the solved MCQs page.

More chapters in Computer Science

View all
1 Function 3 Scoping 4 Algorithmic Strategies 5 Python -Variables and Operators 6 Control Structures 7 Python functions 8 Strings and String manipulation 9 Lists, Tuples, Sets and Dictionary 10 Python Classes and objects 11 Database Concepts 12 Structured Query Language (SQL) 13 Python and CSV files 14 Importing C++ programs in Python. 15 Data manipulation through SQL 16 Data visualization using pyplot: line chart, pie chart and bar chart