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Technical Quantitative Aptitude Assessment Test

Topics Covered

Quantitative Aptitude
Abstract Reasoning
Numerical Reasoning
Logical Deduction

Useful for hiring

Entry Level Graduate
Fresh Computer Graduate
Entry Level Computer Graduate

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Sample Questions of this test

Question

Which one is an odd one out?

Answer

Question

Jeromy is a very hard working team member. He finished his day's work at 18:00 hours and starts his walk towards the bus stop to board the bus which is scheduled to arrive at 18:12 hours. The bus stop is half a mile away. At what speed (mph) does he need to walk/run to get on the bus?

Answer

- 2.2
- 2.3
- 2.4
- 2.5

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Test details:

The technical quantitative aptitude test enables employers and recruiters to identify potential software engineers by evaluating basic working skills and job readiness. For this reason, an emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience, rather than theoretical knowledge.

The test may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blank, Descriptive, Whiteboard Questions, Audio / Video Questions, True or False.

Test Duration: 20 minutes

Questions: 10

The Technical Quantitative Aptitude test contains a combination of application and theory questions that help you to evaluate the practical skills of candidates.

Test description:

Technical Quantitative Aptitude test is created & validated by global subject matter experts (SME)s to assess expertise in Quantitative Aptitude as per industry standards.

The Technical Quantitative Aptitude Test has been designed to assess analysis, interpretation, and basic software language skills of a candidate. The test contains well balanced and meaningful questions on Quantitative Aptitude, Basic C language, Analytical Thinking skills to accurately assess the basic, intermediate and advanced knowledge of each test taker.

Using powerful reporting, you will have a detailed analysis of test results to help you make better decisions and predict candidate and employee success.

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