Adaface Public Questions
Adaface assessments are tailored to your job description by our subject matter experts from our library of 10000+ questions. We've made a small portion of our library public to demonstrate the quality of questions in our library. All questions used in Adaface assessments are non-googleable and designed to test for on-the-job skills.
| 🧐 Question | 🔧 Skill | 💪 Difficulty | ⌛ Time |
|---|---|---|---|
| Functional components - Consider the following Reac... | React | Medium | 2 min |
| Loop Large Value - Consider the following pseu... | Software Engineering | Medium | 2 min |
| Fork mellow yellow - How many times will the fol... | Linux | Medium | 2 min |
| Go Maps - Which of the following stat... | Go | Easy | 2 min |
| Max Code - Below are code lines to cre... | Python | Easy | 2 min |
| Sales Table - Here's a proposal for SALES... | Oracle SQL | Medium | 3 min |
| Improve build time - Sameera set up a build envi... | Jenkins | Medium | 3 min |
Functional components
Consider the following React components: What are the benefits of t...
Loop Large Value
Consider the following pseudo code.
Fork mellow yellow
How many times will the following code will print "Mellow Yellow"?
Go Maps
Which of the following statements are true regarding the order of o...
Max Code
Below are code lines to create a Python function. Ignoring indentat...
Sales Table
Here's a proposal for SALES table in Oracle SQL:
Improve build time
Sameera set up a build environment where Jenkins will check a Git r...
Customized by subject matter experts to cater to job roles for all experience levels (fresh grads to 8-10 years) within your organization.
Adaface assessments have an average test taking rate of 86% as compared to an industry standard of 50%.
Adaface assessments have relevant questions that test for on-the-job skills. We do not expect candidates to solve puzzles/ trick questions.
We evaluated several of their competitors and found Adaface to be the most compelling. Great default library of questions that are designed to test for fit rather than memorization of algorithms.
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