Weather Type in Each Country
A easy-tier problem at 67% community acceptance, tagged with Database. Reported in interviews at Point72 and 0 others.
You're looking at a database problem from Point72 that tests basic SQL joins and aggregation. With a 67% acceptance rate, it looks easy but candidates still stumble on the group-by logic or mishandling null values. The trick isn't complex, but the schema can trip you if you don't read it carefully. If this problem shows up in your live OA and you freeze on the query structure, StealthCoder runs invisibly and surfaces a working solution in seconds so you move to the next problem instead of burning time.
Companies that ask "Weather Type in Each Country"
Weather Type in Each Country is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage.
Get StealthCoderThe problem asks you to extract weather types grouped by country, which means you need to join a weather table to a country table, then aggregate correctly. The gotcha is usually either forgetting to group by country, mishandling the relationship between the two tables, or not filtering/handling null weather entries. Many candidates write a join that duplicates rows because they didn't think through cardinality. The SQL itself is straightforward once you visualize the schema, but under pressure in an OA, the schema parsing and join syntax are where people blank. StealthCoder hedges that exact moment: you read the problem, see the tables, and the solution appears before anxiety takes over.
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Weather Type in Each Country recycles across companies for a reason. It's easy-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Weather Type in Each Country interview FAQ
Is this really an easy problem?+
Yes. The 67% acceptance rate confirms it. But 'easy' means the schema is simple and the SQL is basic. It's not about algorithmic complexity. It's about reading the schema correctly and writing a clean join and group-by. Speed and accuracy matter more than cleverness.
What's the most common mistake?+
Forgetting to group by country, which returns duplicate rows or fails the query. Or joining incorrectly and ending up with a Cartesian product. Read the schema, count the rows you expect before you write SQL, and trace through the join logic once.
Should I expect this in a Point72 OA?+
Yes. Point72 asks it. With only one company reporting this problem, it's a lower-frequency ask across tech broadly, but it's in their rotation. Database questions are part of their technical screening.
Do I need to handle null or edge cases?+
Almost certainly. Check whether weather values can be null or empty. If they can, decide whether to include them in the result set or exclude them. The test cases will tell you. Read the problem statement for edge cases before coding.
How long should this take?+
Five to ten minutes if you know SQL joins and group-by. If you're fuzzy on the syntax, it can drag to twenty. Under OA pressure, schema parsing takes longer. Write the join, test it mentally, then add the group-by and aggregate. Don't overthink it.
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