T-rex corporation Interview Questions
Overview
t-rex corporation (http://www.trexcorporation.com) is a hubzone certified leading business in the federal information technology sector delivering program management and information technology solutions every day to satisfied clients. we partner with our clients to meet the mission and overcome challenges and our staff are well qualified engineers, specialists and managers experienced at meeting and exceeding our commitments.
at the heart of t-rex, we are problem solvers offering innovation, quality and world class service in the following areas:
- program management and performance excellence
- full lifecycle cots/application engineering/development/test
- soa architectures
- agile methodologies
- end user support (help/service desk, deskside support)
- document conversion, indexing and data capture services
we are engaged critical mission support numerous federal agencies including the department of commerce, us census bureau, department of veteran affairs and at departmen
T-rex corporation Interview Guides
Challenge
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T-rex corporation Interview Questions
Practice for the T-rex corporation interview with these recently asked interview questions.
| Question | Topic | Difficulty |
|---|---|---|
Machine Learning | Medium | |
Imagine you are asked to build a machine learning model to decide new loan approvals for a financial firm. You ask the data department in the company for a subset of data to get started working on the problem. The data includes different features about applicants such as age, occupation, zip code, height, number of children, favorite color, etc. You decide to build multiple machine learning models to test out different ideas before settling on the best one. How would you explain the bias-variance tradeoff with regards to building and choosing a model to use? | ||
Machine Learning | Easy | |
SQL | Easy | |
Machine Learning | Medium | |
Statistics | Medium | |
SQL | Hard | |
Machine Learning | Medium | |
Python | Easy | |
Deep Learning | Hard | |
SQL | Medium | |
Statistics | Easy | |
Machine Learning | Hard |
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