SNAP 2024 Admit Card For Test 2 To Be Released Today, Exam On December 15
SNAP 2024 : Symbiosis International (Deemed) University is slated to release the admit card for the Symbiosis National Aptitude Test (SNAP) 2024 Test 2 today, December 9. Candidates who applied for the exam can download their admit cards via the official website at snaptest.org. The exam permits a maximum of three attempts. If a candidate takes the test multiple times, only the highest score will be considered for the final percentile calculation, with no normalisation applied.
According to the official notification, the SNAP 2024 test 2 will be conducted on December 15 across India. The MBA test will be administered in a computer-based format and will last for an hour. The test will consist of an objective paper with sections on General English, Analytical and Logical Reasoning, Data Interpretation, Quantitative and Data Sufficiency. Candidates will be awarded four marks for each correct answer and 25 per cent of the marks per question will be deducted for each incorrect answer.
SNAP 2024 Test 2 Admit Card: How To Download?
Step 1: Go to the official website at snaptest.org
Step 2: On the homepage, look for and click on the ‘SNAP 2024’ admit card link.
Step 3: As a new window opens, log in using the asked credentials.
Step 4: The admit card will appear on the screen
Step 5: Download and save for further use.
This test is crucial for students seeking admission into the MBA programmes at Symbiosis International institutes. Candidates with a graduate degree and a minimum of 50 per cent marks or an equivalent grade point average are eligible to apply for the SNAP 2024 exam. For reserved category students, the minimum requirement is 45 per cent. Those awaiting results or in their final year can also apply, provided they present their mark sheets at the time of admission. The exam permits a maximum of three attempts. If a candidate takes the test multiple times, only the highest score will be considered for the final percentile calculation, with no normalisation applied.
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