Now Reading: DSSSB 2026 exams start Oct 27 with section locks
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DSSSB 2026 exams start Oct 27 with section locks
The Story in Brief
The Delhi Subordinate Services Selection Board (DSSSB) has activated admit card download links for Phase 1 exams scheduled from October 27 to October 31, 2026, covering Data Entry Operator and Junior Law Officer posts. Links for November exams (TGT, MTS, PGT) will be available 4 to 7 days before each shift. The exams run from October 27 to December 5, 2026, at TCS iON Digital Zones in Delhi NCR.
A key change for 2026 is the introduction of strict section-wise navigation locks: candidates must attempt the computer-based test in a fixed sequence and cannot revisit or edit a section once submitted. The board enforces a rigid three-shift schedule with non-negotiable gate closing times. Prohibited items include electronics, wallets, belts, jewellery, stationery, and food. Candidates must wear light-coloured half-sleeve attire and slippers, shoes are banned. Religious exceptions require arriving at least one hour early.
Admit cards must be downloaded in colour from the DSSSB OARS portal using application number and date of birth. A recent passport-sized photo must be affixed on the printout. The minimum qualifying percentage is 40% for General and EWS categories, corresponding to 80 marks.
Indian Opinion Analysis
The section-wise navigation lock forces candidates to manage time more rigidly than in previous cycles, removing the flexibility to skip between subjects. This change primarily affects those who relied on jumping across sections to maximise scoring. The absence of cloakrooms means any prohibited item brought to the centre must be discarded or risks disqualification. Candidates should plan their attire and commute well in advance, especially those requiring religious exemptions who must report an hour early. Admit card download windows are staggered, with November-slot candidates needing to wait until late October for their links.
Source: theoptimist.news
This brief was synthesised by AI from the source linked above. Methodology and corrections.
