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APCSP DATA (MCQ)

Last updated 5 months ago

24 questions

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Question 1

1.

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

Question 2

2.

What is the smallest unit of digital data?

Byte

Bit

Nibble

Word

Question 3

3.

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.

Question 4

4.

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.

Question 5

5.

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

Question 6

6.

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.

Question 7

7.

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

Question 8

8.

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.

Question 9

9.

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

Question 10

10.

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

Question 11

11.

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

Question 12

12.

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

Question 13

13.

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

Question 14

14.

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

Metadata

Primary data

Analog data

Digital data

Question 15

15.

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

Question 16

16.

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

Integer

String

Float

Boolean

Question 17

17.

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

Question 18

18.

Which file type is best suited for lossless compression?

Text documents

Music files

Photos with high resolution

Videos

Question 19

19.

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.

Question 20

20.

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.

Question 21

21.

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.

Question 22

22.

Which of the following represents a continuous data type?

Binary data

Boolean data

Analog signal

String data

Question 23

23.

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

Question 24

24.

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