Technical Fundamentals Check Questions
Assessment/checklist for foundational technical knowledge essential for software engineering roles, including algorithms, data structures, time and space complexity, basic mathematics, cryptography basics, and core systems concepts. Used to evaluate a candidate's ability to reason about fundamental problems and apply foundational techniques.
MediumTechnical
0 practiced
Implement an LRU cache in Python with O(1) get and put operations. The cache should support a maximum capacity and evict the least recently used item when full. Provide test cases and explain how your combination of data structures achieves the complexity guarantees.
EasyTechnical
0 practiced
Implement a function in Python that returns the kth largest element in an unsorted list of integers. Aim for average O(n) time and O(1) extra space (in-place). Provide code, explain pivot choice and handling of duplicates and out-of-range k. Example: input [3,1,5,2], k=2 -> output 3.
MediumTechnical
0 practiced
Given a DAG of tasks with dependencies, implement a topological sort in Python. Ensure the algorithm detects cycles and returns an error or list of nodes in topological order. Explain complexity and when Kahn's algorithm is preferred over DFS-based approaches.
HardTechnical
0 practiced
Explain cryptographic hash properties: preimage resistance, second-preimage resistance, and collision resistance. For a deployed ML model, propose a strategy to verify integrity of model weights in storage and in transit; discuss use of hashes, HMACs, or digital signatures and key management considerations.
MediumTechnical
0 practiced
Explain the difference between eigenvectors, singular value decomposition (SVD), and principal component analysis (PCA). Give intuition for each and describe a practical pipeline where you would use SVD to compute PCA for dimensionality reduction on a term-document matrix.
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