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Testing Fundamentalstesting~10 mins

Performance testing basics in Testing Fundamentals - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to define the main goal of performance testing.

Testing Fundamentals
performance_goal = "Ensure the system [1] under expected load"
Drag options to blanks, or click blank then click option'
Aignores users
Bfails often
Cresponds quickly
Druns slowly
Attempts:
3 left
💡 Hint
Common Mistakes
Choosing options that describe poor performance like 'fails often' or 'runs slowly'.
2fill in blank
medium

Complete the code to specify the type of test that measures system behavior under heavy load.

Testing Fundamentals
test_type = "[1] testing"
Drag options to blanks, or click blank then click option'
AUsability
BLoad
CIntegration
DUnit
Attempts:
3 left
💡 Hint
Common Mistakes
Confusing load testing with unit or usability testing.
3fill in blank
hard

Fix the error in the code to correctly calculate response time in milliseconds.

Testing Fundamentals
response_time_ms = response_time_seconds [1] 1000
Drag options to blanks, or click blank then click option'
A*
B-
C+
D/
Attempts:
3 left
💡 Hint
Common Mistakes
Using division or addition instead of multiplication.
4fill in blank
hard

Complete the code to create a dictionary comprehension that maps each user to their response time if it is less than 200 ms.

Testing Fundamentals
fast_responses = {user: response for user, response in responses.items() if response [1] 200}
Drag options to blanks, or click blank then click option'
B*
C<
D>
Attempts:
3 left
💡 Hint
Common Mistakes
Adding unnecessary operations on response value.
Using > instead of < for filtering.
5fill in blank
hard

Fill all three blanks to create a dictionary comprehension that maps each test name in uppercase to its average response time if the time is greater than 100 ms.

Testing Fundamentals
avg_times = {test[1]: time for test, time in test_results.items() if time [2] 100 and test[3].startswith('load')}
Drag options to blanks, or click blank then click option'
A.upper()
B>
C.lower()
D<
Attempts:
3 left
💡 Hint
Common Mistakes
Using .lower() instead of .upper() for the key.
Using < instead of > for time filter.

Practice

(1/5)
1. What is the main goal of performance testing in software development?
easy
A. To find spelling mistakes in the user interface
B. To check how fast and stable the software works under heavy use
C. To test if the software installs correctly
D. To check if the software looks good on different screens

Solution

  1. Step 1: Understand the purpose of performance testing

    Performance testing measures speed and stability when many users use the software at once.
  2. Step 2: Compare options with this purpose

    Only To check how fast and stable the software works under heavy use talks about speed and stability under heavy use, matching the goal.
  3. Final Answer:

    To check how fast and stable the software works under heavy use -> Option B
  4. Quick Check:

    Performance testing = speed and stability check [OK]
Hint: Performance testing checks speed and stability under load [OK]
Common Mistakes:
  • Confusing performance testing with UI or installation testing
  • Thinking performance testing checks visual design
  • Mixing performance testing with functional testing
2. Which of the following is a common tool used for performance testing?
easy
A. Photoshop
B. WordPress
C. Excel
D. JMeter

Solution

  1. Step 1: Identify tools related to performance testing

    JMeter is a popular open-source tool designed for performance testing.
  2. Step 2: Eliminate unrelated tools

    Photoshop is for images, Excel for spreadsheets, WordPress for websites, none for performance testing.
  3. Final Answer:

    JMeter -> Option D
  4. Quick Check:

    Performance tool = JMeter [OK]
Hint: Pick tools known for load testing like JMeter [OK]
Common Mistakes:
  • Choosing unrelated software like Photoshop or Excel
  • Confusing content management systems with testing tools
  • Not knowing popular performance testing tools
3. Consider this scenario: A performance test runs 100 users simultaneously on a website. The average response time is 2 seconds, but 10 users experience 10 seconds delay. What does this indicate?
medium
A. The test is invalid because average time is low
B. The website handles load well with no issues
C. There is a performance bottleneck affecting some users
D. All users have the same experience

Solution

  1. Step 1: Analyze the response times

    Most users get 2 seconds, but some have 10 seconds delay, showing inconsistency.
  2. Step 2: Understand what inconsistent delays mean

    Long delays for some users suggest a bottleneck or problem under load.
  3. Final Answer:

    There is a performance bottleneck affecting some users -> Option C
  4. Quick Check:

    High delay for some = bottleneck [OK]
Hint: Look for slow responses in some users to spot bottlenecks [OK]
Common Mistakes:
  • Ignoring slow user delays and trusting only average
  • Assuming test is invalid without checking details
  • Thinking all users have same experience
4. You wrote a performance test script but it always stops with an error after 5 users start. What is the most likely cause?
medium
A. The test script has a limit on concurrent users set too low
B. The website is too fast and closes the test
C. The test tool does not support more than 5 users ever
D. The internet connection is too slow

Solution

  1. Step 1: Understand the error context

    The test stops after 5 users start, suggesting a limit reached in the script or tool settings.
  2. Step 2: Evaluate options for cause

    The test script has a limit on concurrent users set too low explains a low user limit in the script, which matches the problem. Other options are unlikely causes.
  3. Final Answer:

    The test script has a limit on concurrent users set too low -> Option A
  4. Quick Check:

    Test stops early = user limit too low [OK]
Hint: Check user limits in script when tests stop early [OK]
Common Mistakes:
  • Blaming website speed or internet without evidence
  • Assuming tool cannot handle users without checking settings
  • Ignoring script configuration for concurrency
5. You want to test a web app's performance under increasing load. Which approach best simulates real user behavior during the test?
hard
A. Gradually increase the number of virtual users over time while running typical user actions
B. Run 1000 users all clicking the same button at the exact same time once
C. Run a single user repeatedly refreshing the homepage for hours
D. Test only the database without simulating user actions

Solution

  1. Step 1: Understand realistic load testing

    Real users increase gradually and perform varied actions, not all at once.
  2. Step 2: Compare options to realistic behavior

    Gradually increase the number of virtual users over time while running typical user actions simulates gradual load increase with typical actions, matching real use best.
  3. Final Answer:

    Gradually increase the number of virtual users over time while running typical user actions -> Option A
  4. Quick Check:

    Realistic load = gradual increase + varied actions [OK]
Hint: Simulate real users by increasing load gradually [OK]
Common Mistakes:
  • Testing all users clicking simultaneously unrealistically
  • Using only one user repeatedly
  • Ignoring user actions and testing only backend
Recommended

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10 questions~5 mineasy hard