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CAT: turn a mock into better VARC, DILR and QA decisions

By ExamShortcut · Published 22 Oct 2026 · Checked 4 Nov 2026

Use mock review to improve evidence in VARC, set selection in DILR and setup accuracy in QA. The 4 November official release revises admission downloads to 6–29 November and schedules the official sample-question mock from 6 November. Test day remains 29 November, in three shifts.

1. Revised admission and official-mock schedule

The official 4 November release schedules admit-card downloads for 6–29 November using your CAT application login ID and password. It also schedules the official sample-question mock from 6 November. Use that mock to practise the interface, then review your own set selection and accuracy; the live test remains on 29 November in three shifts.

2. Audit decisions before the headline percentile

Save a mock log with three fields for each problem: what you tried, why you chose it and where the reasoning failed. Review correct guesses too. A lucky option can conceal the same gap that causes tomorrow's wrong answer.

Separate a learning error from a selection error. If a question remains difficult without a timer, repair the concept. If you solve it cleanly later, inspect why another question consumed its time. Mock percentiles depend on that provider's participant pool; they are not official CAT percentiles or admission probabilities. Use score trends under similar conditions rather than one dramatic result.

3. VARC: attach each answer to evidence

For a passage, write a one-sentence claim and a short note about each paragraph's role. Test close options against the text. Reject an option that turns “some” into “all” or an observed association into a proven cause.

For inference, choose the smallest conclusion the passage supports. Do not reward an option just because it sounds knowledgeable. Review the original comprehension exercise and then apply its evidence-line method to a longer passage. Record whether an error came from scope, tone, attribution or a missed qualification.

4. DILR: decide whether a set is becoming solvable

Before building a large table, identify the entities, constraints and question demands. Start with the strongest fixed information. Recheck whether a condition applies to all cases or only one subgroup; a silent assumption can invalidate every later answer.

During review, try a second representation: a grid, a timeline, cases or a simple equation. Count how much useful information you gained before deciding to continue or leave. This is a decision practice, not a universal minute limit for every candidate. A set you did not select can be valuable homework if it teaches a more economical representation.

5. QA: repair setup and check answer conditions

Write variables and units before using a shortcut. Check whether a ratio, percentage base or average refers to the same group throughout the problem. After solving, test sign, range, integrality and any conditions stated in the question.

Use a mixed arithmetic block, then a targeted block for the concept that failed. Keep accuracy separate from attempt count. Confirm the current CAT bulletin and on-screen instructions for question types and marking rather than applying a coaching rule to every item. The CAT score tool is a calculation aid, not a promise of percentile or college admission.

6. Protect the last weeks from unfocused expansion

Alternate a full mock review with smaller skill blocks. Leave room for rest and a realistic exam-day routine. Do not replace the whole plan because one mock score fell; inspect whether the cause was concept, decisions or conditions first.

Check the CAT dates and official portal for the actual admit-card release. Read your own reporting time, test city and permitted documents when available. The closed October edit window is separate from admit-card downloads. Application discrepancies should go through the official helpdesk rather than a guessed correction link.

Try it before opening the answer

Original learning checks, not recalled exam questions or a prediction of your score.

1. An author says a six-week trial increased visits but does not isolate the cause. Can you infer that one change alone caused the increase?

No.

The inference adds causal certainty that the stated evidence does not provide. Preserve the author’s limitation.

2. A group has 12 people averaging 70. Three more averaging 80 join. What is the new average?

72.

The combined total is 12 × 70 + 3 × 80 = 1080. Divide by 15, not by the number of groups: 1080/15 = 72.

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Official references

Use the matching cycle’s notice and call letter for eligibility, dates and test rules. Study routines and examples above are our editorial suggestions.

Common questions

Does a mock percentile equal the CAT percentile?

No. The participant pool, paper and scoring context differ.

Are CAT admit cards already released by this guide?

The 4 November media release gives a revised download period of 6–29 November. Use the official CAT portal to check actual access and later changes.

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