undefined's Trimble Interview Experience

Interview Experience

Project deep dive with diagrams, SQL optimization, and space-optimized coding problems

Project Explanation: Draw its diagram (architecture, class diagram, ER diagram, or whatever you are comfortable with)
Backend: List the tables used in your project
Write a join query involving minimum 3 tables from your project
What do you mean by query optimization?
Optimize some queries and explain its workflow
Coding: Reverse every string in the sentence but not to reverse the sentence (Constraint: Space complexity O(1)). Example: Input: 'Hello World', Output: 'olleH dlroW'. What are its edge cases?
Coding: Clone a tree - Given input tree, create a new tree as exact copy (Constraint: Space complexity). Solution: Using DFS recursively (Recursion uses program stack memory, if we take iteration approach we need to create a stack which violates space constraint)

Be ready to draw project diagrams on the spot - practice architecture, class, and ER diagrams
Know all database tables in your project and their relationships
Practice complex SQL joins with 3+ tables from your actual projects
Understand query optimization techniques: indexing, avoiding SELECT *, using EXPLAIN, query rewriting
Be able to explain query execution workflow and optimization strategies
For string reversal with space constraint: Use two-pointer algorithm for O(1) space
Consider edge cases: empty strings, single word, multiple spaces, special characters
For tree cloning with space constraint: Use DFS recursion (program stack doesn't count as extra space)
Understand why recursion is better than iteration for space-constrained tree problems
Always discuss space and time complexity trade-offs
Be prepared to justify your algorithmic choices based on constraints

Interview Experience

Project deep dive with diagrams, SQL optimization, and space-optimized coding problems

Project Explanation: Draw its diagram (architecture, class diagram, ER diagram, or whatever you are comfortable with)
Backend: List the tables used in your project
Write a join query involving minimum 3 tables from your project
What do you mean by query optimization?
Optimize some queries and explain its workflow
Coding: Reverse every string in the sentence but not to reverse the sentence (Constraint: Space complexity O(1)). Example: Input: 'Hello World', Output: 'olleH dlroW'. What are its edge cases?
Coding: Clone a tree - Given input tree, create a new tree as exact copy (Constraint: Space complexity). Solution: Using DFS recursively (Recursion uses program stack memory, if we take iteration approach we need to create a stack which violates space constraint)

Be ready to draw project diagrams on the spot - practice architecture, class, and ER diagrams
Know all database tables in your project and their relationships
Practice complex SQL joins with 3+ tables from your actual projects
Understand query optimization techniques: indexing, avoiding SELECT *, using EXPLAIN, query rewriting
Be able to explain query execution workflow and optimization strategies
For string reversal with space constraint: Use two-pointer algorithm for O(1) space
Consider edge cases: empty strings, single word, multiple spaces, special characters
For tree cloning with space constraint: Use DFS recursion (program stack doesn't count as extra space)
Understand why recursion is better than iteration for space-constrained tree problems
Always discuss space and time complexity trade-offs
Be prepared to justify your algorithmic choices based on constraints