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.
The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.
Human Resources Manager
Adaface questions are used by enterprises worldwide
Adaface questions are designed by experts to evaluate candidates on on-the-job skills
|🧐 Question||🔧 Skill||💪 Difficulty||⌛ Time|
|Marker ink component - Consider the following compone||Angular||Medium||2 min|
|Namespaces - What will the following C++ co||C++||Easy||2 min|
|succeeding test - Consider the following JUnit t||JUnit||Medium||2 min|
|Package: Destroy - What does the following Perl c||Perl||Medium||2 min|
|Decision Table - Check the following decision t||Testing||Medium||3 min|
|Slow Performance - Zendaya works as Hyperion Plan||Oracle Hyperion Planning||Medium||2 min|
|Users Table - Of the following CREATE ORACLE||Oracle SQL||Medium||3 min|
Like the questions? Start using Adaface conversational tests for accurate and candidate friendly screening today
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.