AIAPGET Previous Year Questions for Ayurveda PG

Previous year questions serve two distinct purposes in AIAPGET preparation, and most students use them for only one. The obvious purpose is content coverage: PYQs tell you what the exam has tested before, and drilling them ensures you won't miss a question that has appeared in a prior cycle. The less obvious purpose is calibration: PYQs tell you how hard you need to work on a given subject to achieve a given score, because the historical difficulty distribution is public and stable.

When to introduce PYQs in the prep cycle

Introducing PYQs too early is a common preparation error. Students who open the PYQ bank in week one, before they have studied the subject, treat PYQs as content discovery tools; they look up the answer, read the explanation, and consider the topic "covered." This is not preparation; it is browsing. The correct entry point for PYQ drilling is after the subject block's textbook phase is complete — typically at the end of week two or week three of a four-week subject block. At that point, the student has the conceptual framework to understand why the distractor is wrong, not just that it is wrong.

Subject-by-subject PYQ approach

Samhita PYQs skew heavily toward verse identification and interpretation. The effective drill technique is to cover the answer and attempt the translation or identification from memory before revealing the options — the MCQ format lets students guess from context even without understanding, which is not useful preparation. Dravyaguna PYQs test Guna-Karma-Prabhava relationships that repeat across cycles; building a 50-dravya quick-reference index from the PYQ bank is faster than reading the full Dravyaguna chapter. Kayachikitsa PYQs have become progressively more clinical across recent cycles; 2022–2024 papers show a clear shift toward roga-specific case stems rather than nidana recall. A student drilling PYQs only from 2015–2018 misses this shift entirely. The subject-wise strategy guide covers each subject's PYQ profile in detail.

Tracking PYQ accuracy over time

One PYQ pass through a subject is not enough. The first pass reveals gaps; the second pass (timed, under mock conditions) reveals whether the gaps have closed. Students who do at least two PYQ passes per subject before the full mock series begins score on average 8–12 percentage points higher on their first full-length mock than students who do one pass or none. The CEET dashboard tracks PYQ accuracy separately from general MCQ accuracy so you can see whether the second pass produced the expected lift. If it didn't, the error-log data points to the specific topics still below threshold.

PYQs and the repeat-question advantage

Repeat questions — those appearing in two or more AIAPGET cycles — carry a structural advantage in preparation. They represent the exam board's view of what every Ayurveda PG candidate should know; their recurrence is deliberate, not accidental. A student who answers all tagged repeat questions correctly in the CEET bank has effectively secured a floor on their AIAPGET score regardless of how the newer question material is distributed. Treat the repeat-tagged items as a mandatory pass, not as optional revision. Explore the CEET courses for subject-specific PYQ packs built around the repeat question index.

Six cycles of AIAPGET data (2018–2024) reveal clear patterns in subject weighting, question type distribution, and difficulty trends. The following analysis draws from the questions in the CEET PYQ bank and from official answer keys published after each exam.

Subject weighting stability

The AIAPGET board has held subject weighting remarkably stable across the six cycles. Samhita and Padartha together have consistently taken between 18% and 22% of the paper (36–44 questions out of 200). Kayachikitsa has held between 10% and 14%. Dravyaguna between 9% and 11%. The only bucket with visible year-on-year movement is the specialty rotation, which has ranged from 20% to 28% as the board has reallocated questions between Shalya and Kaumarabhritya depending on the year's notification. Students who base their allocation strategy on one cycle's paper rather than the six-cycle average risk over-preparing for an anomalous year.

Shift toward application questions

The 2021–2024 papers show a consistent shift from recall-type questions toward application-type questions in Kayachikitsa and Roga Nidana. The 2018 Kayachikitsa section was approximately 70% recall (name the roga, name the lakshana) and 30% application (identify the treatment protocol from a patient description). The 2024 distribution is closer to 45% recall and 55% application. Students preparing exclusively on pre-2020 PYQs are drilling a paper that no longer exists.

Sanskrit quotation frequency

Across all six cycles, between 15% and 22% of questions include a Sanskrit quotation in the stem or options. This percentage has not declined. Students who cannot identify a verse from its pada or recognise a standard Nidana term in Sanskrit will miss a structurally reliable cluster of questions every year. The CEET bank tags Sanskrit-stem questions so students can drill them as a separate set. See the Focus Session feature for how to build a Sanskrit-recall drill from your wrong-answer history.

How many AIAPGET PYQ years does the CEET bank cover?

The CEET PYQ bank covers AIAPGET papers from 2014 onward, including both the pre-NMC and post-NMC formats. Questions are tagged by year so you can filter to any subset of cycles.

Are the explanations written against the original paper's answer key?

Explanations are written against the current AIAPGET syllabus and updated when the official syllabus changes. Where the NMC/board has revised an answer key post-publication, the CEET explanation reflects the revised correct answer with a note on the original controversy.

Can I drill only the PYQs I have answered incorrectly?

Yes. Every incorrectly answered PYQ feeds your Focus Session pool alongside regular drill errors. Toggle the pool mode to "Weak areas only" on your student dashboard and the next session will draw from that subset under timed conditions.

Do PYQs appear in the regular daily drills?

Daily drill questions are drawn from the full bank, which includes PYQ content alongside new questions. PYQ questions are not labelled as such in the daily drill; the tagging is visible only in the PYQ-specific section of the course library and in the Focus Session pool view.

How often is the PYQ bank updated?

The bank is updated within two weeks of each AIAPGET exam, once the official answer key is published. New questions go through an editorial review before they are tagged and explanations are written. Contact the team if you notice a discrepancy between a question's tagged answer and the official key.