What is the defining feature of a stored-program computer?
In a stored-program computer, machine instructions and data occupy addressable memory. The processor fetches each instruction from memory, decodes it and then executes it.
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In a stored-program computer, machine instructions and data occupy addressable memory. The processor fetches each instruction from memory, decodes it and then executes it.
+37 is 00100101. Invert the bits to get 11011010, then add one, giving 11011011 for −37.
A /26 mask creates blocks of 64 addresses. Address 70 lies in the 64–127 subnet, so 192.168.5.100 is local; 130 and 190 are in later subnets.
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Correct answer: Instructions and data are stored in addressable memory
In a stored-program computer, machine instructions and data occupy addressable memory. The processor fetches each instruction from memory, decodes it and then executes it.
Correct answer: 11011011
+37 is 00100101. Invert the bits to get 11011010, then add one, giving 11011011 for −37.
Correct answer: 192.168.5.100
A /26 mask creates blocks of 64 addresses. Address 70 lies in the 64–127 subnet, so 192.168.5.100 is local; 130 and 190 are in later subnets.
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The operating system manages resources such as processor time, memory, users, files and peripheral devices, while providing interfaces through which applications and users access them.
Watch for: Do not describe Topic 1: Computer Systems vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
Overflow occurs when a computed value is too large or too small for the available bit pattern and interpretation. The stored result may then wrap or become invalid.
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Symmetric systems use the same secret key for encryption and decryption. Asymmetric systems use mathematically related public and private keys, enabling different key-distribution and signature mechanisms.
Watch for: Do not describe Topic 3: Networks and Encryption vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
A record groups related named fields, which may have different types, such as an integer identifier and string name. A conventional array contains indexed elements of one declared type.
Watch for: Do not describe Topic 4: Structuring Data vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
Procedural programming describes control flow and operations that produce a result. Declarative programming expresses what result or relationship is required while an implementation determines how to obtain it.
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Data cleaning should detect duplicates, validate ranges, standardise formats and document justified corrections. Blind deletion or immediate training can introduce bias and unreliable results.
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A condition-controlled loop can attempt conversion, break only after success and catch ValueError to display feedback before the next attempt. This handles unknown numbers of invalid entries.
Watch for: Do not describe Topic 7: Programming vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
Python input returns a string. Converting validated digit text to an integer enables arithmetic and numeric comparisons that would otherwise be invalid or lexicographic.
Watch for: Do not describe Topic 8: Organising and Handling Data vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
The program should explicitly handle an empty dataset according to requirements, for example by returning no result or raising a meaningful error, rather than masking the condition.
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The subprogram exposes a useful interface while hiding its implementation. The caller can reason about start, end and result without depending on internal data structures.
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Until the branch outcome is known, the processor may fetch sequential instructions. If the branch is taken, those speculative instructions are discarded, creating bubbles or a flush penalty.
Watch for: Do not describe Topic 11: Computer Systems and Data Representation vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
RSA derives related keys from number-theoretic operations. A public key can be distributed, while security relies on controlling the private key and on the difficulty of the underlying problem.
Watch for: Do not describe Topic 12: Networks and Cybersecurity vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
Functions are first-class values in functional programming, so a higher-order function can receive or produce functions, enabling reusable operations such as mapping and filtering.
Watch for: Do not describe Topic 13: Programming Languages vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
Modulo arithmetic lets the rear reuse slots freed by dequeues at the beginning of the array. A size or equivalent condition still distinguishes full from empty.
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A greedy method commits to a locally favourable choice at each step. It is efficient and optimal for some problems, but requires proof or conditions to guarantee a global optimum.
Watch for: Do not describe Topic 15: Problem-solving vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
Blockchain can help where multiple parties need a shared tamper-evident history without one fully trusted writer. With one trusted authority, its consensus and replication may add unnecessary complexity.
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Using an appropriate maintained library can improve reliability and productivity, but the programmer must still understand interfaces, validate assumptions and test the complete solution.
Watch for: Do not describe Topic 17: Programming vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
Binary floating point cannot exactly represent many decimal fractions. Decimal stores base-ten values and supports explicit precision and rounding, though business rounding rules must still be selected.
Watch for: Do not describe Topic 18: Representing and Handling Data vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
Correctness on small input is insufficient when the stated scale makes execution impractical. Design review should examine time complexity, data structures and avoidable repeated work.
Watch for: Do not describe Topic 19: Best Practice vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
The constructor stores instance state through self, and the getter reads the same name-mangled attribute through self. Each Account instance therefore retains its own balance.
Watch for: Do not describe Topic 20: Additional Programming Paradigms vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
No relaxation can produce a finite route to an unreachable vertex, so its initial infinity remains. Route reconstruction must detect the missing predecessor rather than fabricate a path.
Watch for: Do not describe Topic 21: Algorithms vaguely. Trace the algorithm, data or system state precisely and test boundary or failure cases.
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Pearson Edexcel IAL · Computer Science 2026 · A Level · Computer Science · YCP01
Issue 1; March 2026; first teaching September 2026
Source checked: 2026-08-29. The current official specification controls assessment requirements and option choices.
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It shows the outcome of these three answers and gives a specific skill to discuss or practise next. It is not a full assessment, a mastery score or a grade prediction. Broader practice over time is needed to understand progress.
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