5090_s26_qp_32 2026 May-June Biology 5090 Question Paper 3 Variant 2 · Cambridge CAIE O Level

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5090_s26_qp_322026 May-June Biology 5090 Question Paper 3 Variant 2

This is the official Cambridge O Level Biology (5090) Question Paper 3 (Variant 2) from the 2026 May-June examination session. This question paper was sat by Cambridge students worldwide in 2026 and is published by Cambridge Assessment International Education (CAIE). Use it for timed practice under exam conditions to build familiarity with the question format, mark allocation, and time pressure.

Also referenced as: 5090_s26_qp_32 · 5090/32/m/j/26 qp · 5090/32 May/June 2026 qp

Paper 3: Practical This is Paper 3: Practical, worth 40 marks with a duration of 1h 30m. Hands-on practical examination. Candidates perform experiments, record observations, draw biological specimens, and interpret results.

To self-assess your performance, use this question paper alongside the corresponding mark scheme (5090_s26_ms_32). Attempt the entire paper under timed conditions before opening the mark scheme — this trains both your subject knowledge and exam technique. Mark each question and record whether marks were lost due to knowledge gaps, method errors, or careless mistakes.

The most effective way to use this Biology question paper is to simulate real exam conditions: set a timer for the full duration, work without notes, and write your answers on separate paper. After finishing, mark yourself using the official mark scheme — do not check answers during the paper. This builds exam stamina and reveals your genuine readiness. Repeat this process across 3–5 sessions to identify recurring weak topics in Biology (5090).

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Same paper, other years

Biology (5090) Question Paper 3 (Variant 2) from other exam sessions — practise the same paper across the years, then check each one against its mark scheme.

Examiner Insights — Paper 3: Practical

Based on analysis of 4 official Cambridge documents (2023, 2024, 2025)

3

Describing osmosis using vague concentration language instead of water potential

When explaining osmosis, the best answers referred to the differences in water potential inside and outside the cell. Candidates should be encouraged to use this terminology, as stated in the syllabus. If they describe concentration differences, it is often unclear whether they are referring to water or solute concentration.5090 Paper 2/21, May/June 2023

How to fix: Always use the term 'water potential' when explaining osmosis. The correct definition: osmosis is the net movement of water molecules from a region of higher water potential to a region of lower water potential through a partially permeable membrane. Saying 'high concentration to low concentration' is ambiguous and loses marks.

8

Graph drawing errors — non-linear scales, missing units on axes, joining points incorrectly

Full marks could not be awarded where the graphs were too small or where the scales were not linear. A common error on this graph was to have a scale on the y-axis from -0.1(g) to +0.1(g), instead of -1.0(g) to +1.0(g).5090 Paper 3/32, May/June 2023

How to fix: Graph checklist: (1) Use a linear scale — equal spacing for equal intervals, (2) Label both axes with the variable name AND units, (3) Use more than half the grid area, (4) Read the question — if it says 'ruled lines' join points with a ruler, do NOT draw a curve or line of best fit, (5) Plot all data points including zero values, (6) Show interpolation working as drawn lines from axis to graph line.

11

Confusing reliability with accuracy when discussing repeated experiments — claiming repeats improve accuracy

Some candidates discussed reducing the effect or removal of the anomalous result rather than its identification and a large number referred to increased accuracy rather than just increased reliability; neither of these responses could be credited. It should also be noted that repetition in itself does not reduce errors, so answers to this effect did not gain credit.5090 Paper 3/32, May/June 2025

How to fix: Use the three terms precisely: ACCURACY = how close a measurement is to the true value (improved by better equipment / calibration, NOT by repetition). RELIABILITY = consistency across repeats (improved by repeating the experiment and taking a mean). VALIDITY = whether the experiment actually tests what it claims to (improved by controlling all variables). Repeats improve reliability and let you identify anomalies — they do NOT improve accuracy and do NOT remove errors by themselves.

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