Log in
Sign up for FREE
arrow_back
Library

APCSP DATA (MCQ)

star
star
star
star
star
Last updated 8 months ago
24 questions
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Question 1
1.

Question 2
2.

Question 3
3.

Question 4
4.

Question 5
5.

Question 6
6.

Question 7
7.

Question 8
8.

Question 9
9.

Question 10
10.

Question 11
11.

Question 12
12.

Question 13
13.

Question 14
14.

Question 15
15.

Question 16
16.

Question 17
17.

Question 18
18.

Question 19
19.

Question 20
20.

Question 21
21.

Question 22
22.

Question 23
23.

Question 24
24.

When converting an image from a higher resolution to a lower resolution, what data concept is being applied?

Overflow
Metadata creation
Data compression
Data bias

What is the smallest unit of digital data?

Byte
Bit
Nibble
Word

How does lossy data compression affect a file?

It reduces the file size by removing redundant data permanently.
It compresses data without any loss in quality.
It stores the data in a separate location.
It increases the file size.

When an overflow error occurs, what typically happens?.

The program crashes.
Extra data is saved automatically.
The system discards the extra data.
The data wraps around and may create unexpected results.

Which of these is an example of analog data?

A digital photograph
Text entered into a computer
The sound of a heartbeat recorded as a waveform
A spreadsheet of student grades

Why do computers use binary (base-2) number systems?

It allows for faster calculations.
Computers cannot process decimal numbers.
Binary numbers are easier to represent electronically with two states (on and off).
Binary numbers are easier to understand for humans.

What does metadata describe?

Only the contents of a file
Data about the data in a file, like its size or creation date
The main content of the data
A program that analyzes data

Sampling techniques are used to:

Convert digital data to analog.
Measure continuous analog signals at intervals for digital representation.
Increase the resolution of digital images.
Compress data without losing quality.

In which scenario would lossy compression be more suitable than lossless compression?

Storing a text document
Compressing a high-quality audio file for streaming
Archiving medical records
Saving a spreadsheet with financial data

What does data cleaning involve?

Reorganizing the dataset for easier access
Removing or correcting inaccurate or incomplete data
Sorting data based on metadata
Converting data from analog to digital format

What is the purpose of abstraction in data processing?

To store data in multiple formats
To simplify complex data by hiding unnecessary details
To compress data without quality loss
To convert data between different types

Which of the following is an example of primary data?

A summary of survey results found online
Data collected directly from a new survey you conducted
A research paper citing different studies
An online database of national statistics

What is a common way to prevent overflow errors in programming?

Ignore the excess data
Use larger data types or implement error checking
Manually remove extra values
Automatically reset values to zero

A spreadsheet is sorted by "last modified date." What type of data is this?

Metadata
Primary data
Analog data
Digital data

In what context would you use data compression?

To increase data size
To save storage space or reduce transmission time
To encrypt data
To expand data for analysis

Which of these data types can store a floating-point number?

Integer
String
Float
Boolean

What is data bias?

An error caused by data overflow
Skewed or misleading results due to systematic errors in data collection or analysis
A process of compressing data to save space
The average of a data set

Which file type is best suited for lossless compression?

Text documents
Music files
Photos with high resolution
Videos

What is the function of a bit in data storage?

It represents the storage capacity of a hard drive.
It’s a binary value (0 or 1) representing the smallest unit of digital data.
It measures the speed of data transmission.
It’s an encoding standard.

In a large dataset, missing values are found. What is one technique for handling them?

Ignore the dataset entirely.
Fill missing values with the mean or median.
Delete all entries in the dataset.
Encrypt the dataset.

What is a key advantage of data abstraction?

It speeds up data transfer rates.
It allows for easier management of large, complex data by focusing on only the necessary details.
It converts analog data to digital.
It compresses data to reduce size.

Which of the following represents a continuous data type?

Binary data
Boolean data
Analog signal
String data
A network engineer is setting up a local network and needs to calculate IP addresses for connected devices. The IP address of the router in binary is 11000000.10101000.00000001.00000001 (192.168.1.1 in decimal), and she wants to assign the first device the next IP address. What would this next IP address be in binary?
11000000.10101000.00000001.00000010
1000000.10101000.00000001.00000000
11000000.10101000.00000010.00000001
11000000.10101001.00000001.00000001
For some reasons , I decided to use 16 bit encoding. What is the highest possible value I can get in decimal? How many different combinations is possible?
Highest value: 65536; Possible combinations: 65535
Highest value: 65535; Possible combinations: 65536
Highest value: 65536; Possible combinations: 65536
None of the above