Swift (Coding): Intermediate Level Algorithms Test

This Swift (Coding): Intermediate Level Algorithms evaluates a candidate's proficiency in programming a small algorithm in Swift, testing their foundational programming skills.

Available in

  • English

Summarize this test and see how it helps assess top talent with:

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1 Skills measured

  • Intermediate level algorithm

Test Type

Coding Test

Duration

25 mins

Level

Intermediate

Questions

1

Use of Swift (Coding): Intermediate Level Algorithms Test

This Swift (Coding): Intermediate Level Algorithms evaluates a candidate's proficiency in programming a small algorithm in Swift, testing their foundational programming skills. Through a concise and simple coding task, this test assists you in identifying developers with the most vital Swift skills.

Swift is an intuitive, open-source coding language developed by Apple that emphasizes safety, performance, and software design patterns. It is intended as a replacement for C-based languages and is advantageous as it is faster than Python and easier to use than Objective-C.

Having developers proficient in Swift can help your business leverage the benefits of this language in iOS development, including its speed, safety, and ease of maintenance. For junior iOS programmers, having a strong foundational knowledge of programming in Swift is essential to hit the ground running and achieve professional growth.

The code is evaluated against a set of test cases, some of which are available to the candidate for tracking their progress. This test is ideal for initial screening to identify candidates with essential skills. We recommend pairing coding tests with at least one cognitive ability test that evaluates numerical or analytical skills.

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Recruiter efficiency

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55%

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Candidate satisfaction

94%

Candidate satisfaction

Subject Matter Expert Test

The Swift (Coding): Intermediate Level Algorithms Subject Matter Expert

Testlify’s skill tests are designed by experienced SMEs (subject matter experts). We evaluate these experts based on specific metrics such as expertise, capability, and their market reputation. Prior to being published, each skill test is peer-reviewed by other experts and then calibrated based on insights derived from a significant number of test-takers who are well-versed in that skill area. Our inherent feedback systems and built-in algorithms enable our SMEs to refine our tests continually.

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