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Select the letter-cluster pair that best represents a similar relationship to the one expressed in the pairs of letter-clusters given below. OQP : PTO VWV : WZU
QEK : RHI
HFN : IIM
KND : LQF
NEO : OHL
HFN : IIM
In letter-cluster analogy questions, the relationship is established by the positional difference of the letters in the English alphabet (A=1 to Z=26). For the pair OQP : PTO, each letter's position is transformed by a specific sequence of shifts (+1, -2, +3, etc.) or reverse mappings. Applying the exact same logical pattern to VWV : WZU yields Option B (HFN : IIM), where the corresponding alphabetical shifts match the established pattern.
In letter-cluster analogy questions, the relationship is established by the positional difference of the letters in the English alphabet (A=1 to Z=26). For the pair OQP : PTO, each letter's position is transformed by a specific sequence of shifts (+1, -2, +3, etc.) or reverse mappings. Applying the exact same logical pattern to VWV : WZU yields Option B (HFN : IIM), where the corresponding alphabetical shifts match the established pattern.
Letter-series and coding-decoding questions test the fundamental linear indexing of the 26-letter English alphabet, a standard component of logical reasoning tested in competitive examinations across India.
Alphabetical indexing forms the backbone of letter-cluster analogy and coding questions.
Forward and backward positional shifts must be verified independently for each character position.
Option B (HFN : IIM) satisfies the exact numerical difference sequence observed in the prompt pairs.
Option A (QEK : RHI) fails to match the required positional increment sequence.
Option C (KND : LQF) exhibits a different increment pattern across its middle and final letters.
Option D (NEO : OHL) does not follow the precise alternating shift rule established by OQP and VWV.
B is correct тАФ Option B (HFN : IIM) precisely mirrors the alphabetical position shift relationship established in the given letter-cluster pairs.
Mastering quick mental indexing of A=1 to Z=26 and reverse positions (Z=1 to A=26) drastically reduces time spent on reasoning coding-decoding and series completion questions.
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