Advanced Swift 2 Application Development (Video 30)

Advanced Swift 2 Application Development (Video 30)

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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FREE Resource

This video tutorial covers the process of creating and running unit tests using assertions in Xcode. It explains how to handle both synchronous and asynchronous tasks within tests and introduces the concept of code coverage reports to evaluate test coverage. The video also briefly touches on creating UI tests using Xcode's recording feature.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of using assertions in unit tests?

To validate the correctness of the code

To compile the code

To increase code execution speed

To generate code documentation

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the naming convention for unit test methods?

Start with 'test' in lowercase

End with 'test' in lowercase

Start with 'Test' in uppercase

End with 'Test' in uppercase

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which assertion method checks if a value is not null?

XCTAssertNil

XCTAssertNotNil

XCTAssertEqual

XCTAssertTrue

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why might you need to create expectations in unit tests?

To simplify test code

To increase test coverage

To manage asynchronous operations

To handle synchronous tasks

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of setting a timeout for expectations in tests?

To ensure the test runs indefinitely

To prevent the test from starting

To increase the test's priority

To limit the test execution time

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What do code coverage reports help you understand?

The readability of the code

The number of bugs in the code

The amount of code covered by tests

The speed of code execution

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you improve code coverage for untestable parts of your code?

By breaking them into smaller, testable methods

By ignoring them

By increasing the timeout for tests

By writing more complex tests