Company
NPCI DSA interview questions
11 curated problems whose own source page tags NPCI, grouped by topic and ordered easiest first. Heaviest on Greedy, Binary Trees.
- Easy
- 0
- Medium
- 10
- Hard
- 1
- Topics
- 7
How the NPCI list compares with all 370 problems
Top topics here vs all problems
- Greedy: 4 of 11 here (36%), 4% across all 370
- Binary Trees: 2 of 11 here (18%), 9% across all 370
- Binary Search: 1 of 11 here (9%), 4% across all 370
- Bit Manipulation: 1 of 11 here (9%), 3% across all 370
- Dynamic Programming: 1 of 11 here (9%), 14% across all 370
Difficulty mix vs all problems
- Easy: 0 of 11 here (0%), 22% across all 370
- Medium: 10 of 11 here (91%), 64% across all 370
- Hard: 1 of 11 here (9%), 14% across all 370
Most similar companies
The companies whose problems are spread across topics most like this list.
Every NPCI-tagged problem, by topic
Greedy(4)
Roles these problems are core for
The roles whose interview loops lean hardest on the topics NPCI tags most.
Track the NPCI list in the app
Filter the tracker to these 11 problems, mark them solved, and let your target role order the rest. Free.
NPCI interview questions, answered
How many DSA problems are asked at NPCI?
11 of the 370 curated problems carry a verified NPCI tag: 0 easy, 10 medium and 1 hard. That is the tagged subset, not a claim about every question NPCI has ever asked.
Which topics does NPCI focus on?
Across the tagged problems the biggest topics are Greedy, Binary Trees, Binary Search; Greedy alone accounts for 4 of the 11. Start there, then cover the smaller topics on this page.
Which sheet covers NPCI questions?
The NPCI problems here are drawn from Apna College, Love Babbar 450, Striver A2Z. Each problem page lists the sheets it appears in, and progress on a problem counts across every sheet that contains it.
Is this list official?
No. NPCI does not publish its interview questions. These tags are community-reported and were taken only from each problem's own public problem page, never copied from unverified "company-wise" lists, so the list is honest but incomplete. See the About page for how the dataset is built.
Other companies
Problem set and company tags as of .