AQA A-Level Computer Science Paper 2, June 2025: Question 2
8 marks · Medium difficulty · Short Answer
Calculate sound sample resolution from file size and sampling parameters, describe ADC operation, explain inaccuracy in digital sound recording, and explain why MIDI uses less storage.
Practise this questionQuestion
Question text
02.1 A sound file, produced by sampling sound, requires 1.5 megabytes of storage space.
The sound file has a duration of 50 seconds and was recorded at a sample rate of
20 000 samples per second (Hertz).
Calculate the sample resolution that was used when the sound was sampled.
[2 marks]
Answer bits
02.2 Describe the principles of operation of an analogue to digital converter (ADC).
[2 marks]
02.3 Explain one reason why a digital sound file that has been recorded using
sampling may not accurately represent the original analogue signal produced by
the microphone.
[2 marks]
02.4 One advantage of representing a piece of music using MIDI instead of as sampled
sound is that the file produced requires less storage space.
Explain why.
[2 marks]
Mark scheme
Show the mark scheme
Total
Qu Pt Marking guidance
marks
02 1 Marks are AO2 (apply) 2
2 marks for correct final answer: 12
Required calculation:
1.5 × 1000 × 1000 × 8 = 50 × 20 000 × sample resolution
If answer is incorrect award 1 mark for completing any three of these steps:
• multiplying by 1.5
• multiplying by 1000
• multiplying by 1000
• multiplying by 8
Note that:
• multiplying 20 000 by 50 is two steps
• including 1 000 000 is equivalent to two steps (1000 × 1000 or 50 × 20 000)
• including 1 500 000 is equivalent to three steps (1.5 × 1000 × 1000)
• including 8 000 000 is equivalent to three steps (1000 × 1000 × 8)
Total
Qu Pt Marking guidance
marks
02 2 Marks are AO1 (knowledge) 2
1 mark: 1 or 2 points made from list below.
2 marks: All 3 points made from list below.
• (Analogue) signal/wave (A. sound as BOD) sampled at fixed/regular time
intervals.
R. references to graphs
• Amplitude/voltage of signal/wave (R. sound) (at each sample point) measured.
• Measurement coded into a fixed number of bits // coded in binary
A. measurement is quantised – A-LEVEL COMPUTER SCIENCE – –
A. measurement rounded to nearest representable / nearest discrete value
Total
Qu Pt Marking guidance
marks
02 3 Marks are AO1 (understanding) 2
Alternative 1
Sample resolution used is too low // not enough bits used to represent each
sample (accurately);
The number of distinct amplitudes that can be represented is too low;
A. by example
Amplitude of each sample will be rounded/truncated when converted into binary // 9
quantisation error occurs // difference between actual amplitude and recorded
amplitude may be too big;
NE. represented in binary / discretely / digitally
OR
Alternative 2
The sampling rate is too low // samples have not been taken frequently enough //
not enough samples taken;
The sampling rate does not satisfy Nyquist’s theorem;
Amplitude between sample points will have to be interpolated/approximated
(when played back);
NE. amplitude between samples not recorded
2 marks: The sampling rate may not be at least twice the frequency of the
(highest frequency component in the) original signal (A. sound);;
OR
Alternative 3
Lossy compression may have been applied to the data;
Some frequency components will have been removed // the range of frequencies
that are represented may be reduced // bandwidth may be reduced // stereo
imagery may be reduced // the sampling rate/sample resolution may have been
reduced (by the compression);
Marks can only be awarded for one of Alternative 1, Alternative 2 or
Alternative 3, not a mix of alternatives.
If student explains more than one reason then award marks for the
alternative that would achieve the highest number of marks.–A-LEVELCOMPUTER SCIENCE – –
Max 2
Total
Qu Pt Marking guidance
marks
02 4 Marks are AO1 (understanding) 2
MIDI stores information about the events (A. notes, sounds) that a sound is
composed of;
10 A. MIDI files contain instructions to generate the sound
A. MIDI files represent data as event messages
A piece of music is likely to be composed of (A. will be composed of far) fewer
events (A. notes, sounds) than the number of samples (A. measurements) that
would be needed to record it // events (A. notes, sounds) may last for a long time
(A. examples of a time that is long compared to the sampling rate eg a second,
half a second);
A. likely to be thousands of samples taken per second
MIDI stores the detailed representation of each note (A. sound) in (separate)
libraries;
NE. repeated notes/sounds stored only once
Max 2
How to answer it
Sound Representation, Sampling & MIDI
This question assesses your core knowledge of digital audio representation from Specification Topic 3.3 (Data Representation):
- Calculating sample resolution given file size, sample rate, and audio duration (AO2).
- Describing the precise mechanical steps of an Analogue-to-Digital Converter (ADC) (AO1).
- Explaining factors affecting sound fidelity (sample resolution, quantisation error, sample rate, and the Nyquist theorem) (AO1).
- Comparing vector-like event encoding in MIDI against sampled pulse-code audio files (AO1).
Sample Resolution Calculation
Calculate sample resolution for a 1.5 megabyte file, 50s duration, sampled at 20 000 Hz.
📐 Step-by-Step Calculation
- Identify the core formula:
File size (bits) = Sample Rate × Duration × Sample Resolution - Convert file size to bits:
AQA uses standard decimal prefixes ( 1 MB = 1 000 000 bytes ).
Total bits = 1.5 × 1 000 × 1 000 × 8 = 12 000 000 bits - Calculate total samples taken:
Total samples = 20 000 Hz × 50 s = 1 000 000 samples - Solve for sample resolution:
Sample resolution = 12 000 000 bits / 1 000 000 samples = 12 bits
✅ Correct Answer & Marking
Answer: 12 bits (or simply 12 )
• 2 marks: Correct final answer of 12.
• 1 mark (method): If final answer is wrong, 1 mark is awarded for correctly carrying out any three steps out of: multiplying by 1.5, multiplying by 1000, multiplying by 1000, multiplying by 8 (or multiplying 20 000 by 50).
❌ Common Errors
- Forgetting to multiply by 8: Calculating bytes per sample instead of bits per sample yields 1.5 bytes, which loses the final mark if not converted to 12 bits.
- Binary vs Decimal prefixes: Using 1024 × 1024 instead of 1000 × 1000. In AQA questions, unless "mebibytes (MiB)" is specified, use SI decimal multipliers (10⁶).
🧠 Exam Technique
Always show each line of rearrangement clearly. If you make an arithmetic error at the very end, examiners will credit intermediate multiplications (e.g. converting megabytes to bits) to salvage 1 mark.
Principles of Operation of an ADC
Describe the principles of operation of an analogue-to-digital converter (ADC).
💡 The 3 Essential Stages of ADC
An ADC converts a continuous analogue physical wave into a sequence of binary digits via three successive actions:
- Sampling: The analogue signal/wave is sampled at regular, fixed time intervals.
- Measurement: The amplitude (or voltage) of the wave is measured at each sample point.
- Quantisation & Encoding: The measured amplitude is quantised (rounded to the nearest representable discrete level) and coded into a fixed number of binary bits.
✅ Mark Scheme Requirements
Marks are awarded based on how many of the three stages are described:
- 2 marks: All 3 key points fully covered.
- 1 mark: 1 or 2 key points covered.
• "Sound" is accepted for the wave in step 1 (benefit of doubt), but not in step 2 (must refer to the electrical amplitude/voltage).
• "Quantised" or "rounded to nearest representable value" is accepted for step 3.
❌ Common Errors & Misconceptions
- Vague descriptions: Writing "it turns sound into 1s and 0s" gets 0 marks. You must mention regular time intervals and measuring amplitude.
- Mentioning graphs: The mark scheme explicitly states: "Reject references to graphs" (e.g. "plotting the wave on a graph"). ADCs are hardware circuits, not graphing tools!
Inaccuracies in Sampled Sound
Explain one reason why a sampled digital sound file may not accurately represent the original analogue signal.
✅ Three Valid Approaches (Choose ONE only)
You must stick to one cause and give a complete explanation (1 mark for cause, 1 mark for consequence):
Route A: Sample Resolution is too low
- Not enough bits are allocated per sample point (1 mark).
- This causes quantisation error: amplitudes must be rounded to the nearest discrete binary level, leading to a discrepancy between actual and recorded values (1 mark).
Route B: Sampling Rate is too low (Nyquist Theorem)
- Samples are not taken frequently enough / does not satisfy Nyquist's theorem (1 mark).
- The sampling rate is less than twice the highest frequency present, meaning high-frequency details are lost or aliased; values between samples must be approximated (1 mark).
Route C: Lossy Compression
- Lossy compression has been applied (1 mark).
- Frequencies outside normal hearing ranges or quieter sounds are permanently removed (1 mark).
🧠 Exam Technique & Examiner Notes
- If you mention Nyquist's theorem directly: stating "the sampling rate is not at least twice the frequency of the highest frequency component" secures both marks immediately.
- Not Enough: Saying "the sound is digital and not analogue" or "it is converted to binary" is too vague to gain credit.
MIDI vs Sampled Audio Storage Size
Explain why a piece of music stored as MIDI requires significantly less storage space than sampled sound.
💡 MIDI vs Sampled Audio Principles
- Sampled Audio (e.g. WAV/MP3): Stores thousands of amplitude snapshots per second (e.g. 44 100 measurements every single second), irrespective of whether a note changes or is silent.
- MIDI (.mid): Does not store audio waves. It is an event-based control protocol. It only records instructions (pitch, note on, note off, velocity, duration, instrument channel).
✅ Model Answer [2 Marks]
Award 1 mark for each distinct concept:
- Event Instructions (1 mark): MIDI does not record audio waves; it stores event messages / instructions explaining how to recreate the sound (e.g. note pitch, duration, velocity).
- Frequency of Data Points (1 mark): A piece of music contains far fewer musical events (notes) than the thousands of samples per second required to record continuous audio. Individual notes can sustain for seconds with only two messages (Note On and Note Off).
❌ Common Examiner Traps
- "Repeated sounds are stored only once": Marked as Not Enough (NE). MIDI synthesizers reference instruments in separate patch banks, but simply writing that duplicate notes are stored once does not explain why MIDI is smaller overall.
- Confusing MIDI with MP3: MIDI does not use psychoacoustic compression or remove inaudible frequencies. It is not an audio recording at all.
🧠 Top Tip for Full Marks
Contrast events with samples. Writing: "MIDI stores event instructions (like pitch and note duration) rather than raw sound, and musical pieces consist of far fewer note events than the tens of thousands of samples taken every second in sampled audio" is an examiner-favourite response that guarantees 2/2.
Topics
4.5 Fundamentals of data representation · 4.5.3 Units of information · 4.5.6 Representing images, sound and other data
Question and mark scheme from the AQA A-Level Computer Science examination, Paper 2, June 2025. QuestionVault is an independent revision resource; questions remain the copyright of the awarding body.