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IB/G/Jun25/G4002/E9 7517/1
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.
A-level
COMPUTER SCIENCE
Paper 1 1 / 3
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IB/G/Jun25/7517/1
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.
- 1
Two data structures that can be used to store a collection of data records are a hash table and a sorted list.
- 1
. 1
Explain why a record in a hash table can normally be found more quickly than a record in a sorted list.[1 mark]
- 1
. 2
Describe the steps involved in adding a new record to a hash table.[4 marks]
- 1
. 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.
- 1
. 4
Explain why the linear search algorithm has time complexity of O(n).[1 mark]
- 1
. 5
Explain why the binary search algorithm has time complexity of O(log n).[1 mark]
- 1
. 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.
- 1
. 7
Explain why both these sorting algorithms are tractable.[1 mark]
- 1
. 8
After how many passes is bubble sort guaranteed to have sorted any list of 100 items?[1 mark]
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IB/G/Jun25/7517/1 Turn over ►
- 2
Define the term decomposition.[2 marks]
Dijkstra’s algorithm is an example of a breadth-first traversal algorithm.
- 3
. 1
State the purpose of Dijkstra’s algorithm.[1 mark]
Figure 1 shows a graph containing seven nodes.
Figure 1
- 3
. 2
State both the reasons why the graph in Figure 1 is not a tree.[2 marks]
- 3
. 3
Complete the unshaded cells in Table 1 to show how the graph in Figure 1 could be represented as an adjacency matrix.
Table 1
1 2 3 4 5 6 7
1 2 3 4 5 6 7
Copy the contents of the unshaded cells in Table 1 into the table in your Electronic Answer Document.[2 marks]
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