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AQA A Level Computer Science 7517 Paper 1 (2025) + Mark Scheme Complete Exam Resource

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AQA A Level Computer Science 7517 Paper 1 (2025) + Mark Scheme Complete Exam Resource Download the AQA A Level Computer Science 7517 Paper 1 (Actual 2025 Exam) fully merged with its official mark scheme in one clear, easy‑to‑use document. - Authentic 2025 Exam Paper – the exact version sat by students - Integrated Mark Scheme – examiner‑approved answers presented alongside each question - Streamlined Format – questions and solutions combined for efficient revision - Exam‑Focused Prep – practice with real questions and understand how marks are awarded - Time‑Saving Resource – no need to cross‑reference separate files Perfect for students, tutors, and revision planners, this resource provides a complete, exam‑ready package to boost confidence and maximize performance in Computer Science Paper 1.

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Instelling
AQA A AND AS LEVELS
Vak
AQA A AND AS LEVELS

Voorbeeld van de inhoud

A-level
COMPUTER SCIENCE 7517/1 ACTUAL 2025 PAPER
MERGED WITH MARK SCHEME
Paper 1

Wednesday 11 June 2025 Morning Time allowed: 2 hours 30 minutes
Materials
For this paper you must have:
• a computer
• a printer
• appropriate software
• the Electronic Answer Document
• an electronic version and a hard copy of the Skeleton Program • an electronic version and a hard
copy of the Preliminary Material. You must not use a calculator.

Instructions
• Type the information required on the front of your Electronic Answer Document.
• Before the start of the examination make sure your Centre Number, Candidate Name and
Candidate Number are shown clearly in the footer of every page (also at the top of the front
cover) of your Electronic Answer Document.
• Enter your answers into the Electronic Answer Document.
• Answer all questions.
• Save your work at regular intervals.

Information
• The marks for questions are shown in brackets.
• The maximum mark for this paper is 100.
• No extra time is allowed for printing and collating.
• The question paper is divided into four sections.

Advice
You are advised to allocate time to each section as follows:
Section A – 40 minutes; Section B – 20 minutes; Section C – 20 minutes; Section D – 70 minutes.

At the end of the examination
Tie together all your printed Electronic Answer Document pages and hand them to the Invigilator.

Warning
It may not be possible to issue a result for this paper if your details are not on every page of your
Electronic Answer Document.

for more: tyrionpapers.com

, 2




IB/G/Jun25/G4002/E9 7517/1
Section A

You are advised to spend no longer than 40 minutes on this section.

Enter your answers for Section A in your Electronic Answer Document.

You must save this document at regular intervals.


0 1

Two data structures that can be used to store a collection of data records are a hash

0 1
table and a sorted list.
. 1 Explain why a record in a hash table can normally be found more quickly than a
record in a sorted list.
[1 mark]
0 1
. 2 Describe the steps involved in adding a new record to a hash table.



0 1




0 1



0 1



0 1




0 1
for more: tyrionpapers.com

IB/G/Jun25/7517/1

0 1

, 3




[4 marks]



. 3 Explain why the time taken to find a specific record in a hash table can increase when

lots of records are stored in the table.
[1 mark]


Linear search and binary search are two algorithms that could be used to find a record in a sorted
list.

. 4 Explain why the linear search algorithm has time complexity of O(n).


[1 mark]



. 5 Explain why the binary search algorithm has time complexity of O(log n).


[1 mark]



. 6 State one advantage of a linear search compared to a binary search.


[1 mark]


If the list of records was unsorted, a bubble sort algorithm or a merge sort algorithm could be used
to sort the records.

. 7 Explain why both these sorting algorithms are tractable.


[1 mark]



. 8 After how many passes is bubble sort guaranteed to have sorted any list of


100 items?
[1 mark]




for more: tyrionpapers.comTurn over ►
IB/G/Jun25/7517/1

, 4


0 2 Define the term decomposition.


[2 marks]
Dijkstra’s algorithm is an example of a breadth-first traversal algorithm.
. 1 State the purpose of Dijkstra’s algorithm.

0 3




0 3




0 3

[1 mark]



Figure 1 shows a graph containing seven nodes.

Figure 1




. 2 State both the reasons why the graph in Figure 1 is not a tree.

for more: tyrionpapers.com

IB/G/Jun25/7517/1

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Instelling
AQA A AND AS LEVELS
Vak
AQA A AND AS LEVELS

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Geüpload op
17 maart 2026
Aantal pagina's
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Geschreven in
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