Root cause analysis in Testing Fundamentals - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to identify the initial step in root cause analysis.

Testing Fundamentals

def root_cause_analysis(issue):
    # Step 1: [1] the problem clearly
    problem_statement = issue
    return problem_statement

Drag options to blanks, or click blank then click option'

Aignore

Bdefine

Cdelay

Dguess

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to fix the problem before understanding it.

Ignoring the problem or guessing the cause.

The first step in root cause analysis is to define the problem clearly. This helps focus the investigation.

2fill in blank

medium

Complete the code to perform the next step: gathering information.

Testing Fundamentals

def root_cause_analysis(issue):
    problem = issue
    # Step 2: [1] data related to the problem
    data = collect_data(problem)
    return data

Drag options to blanks, or click blank then click option'

Ahide

Bignore

Cdelete

Dcollect

Attempts:

3 left

💡 Hint

Common Mistakes

Skipping data collection.

Deleting or ignoring important information.

After defining the problem, the next step is to collect data related to it. This helps find clues about the cause.

3fill in blank

hard

Fix the error in the code to analyze causes correctly.

Testing Fundamentals

def analyze_causes(data):
    # Identify possible causes
    causes = []
    for item in data:
        if item == [1]:
            causes.append(item)
    return causes

Drag options to blanks, or click blank then click option'

ANone

BTrue

C0

DFalse

Attempts:

3 left

💡 Hint

Common Mistakes

Using True or False instead of None.

Using 0 which is a number, not a missing value.

The code checks if an item is None to identify missing or problematic data points, which can be root causes.

4fill in blank

hard

Fill both blanks to filter and report root causes.

Testing Fundamentals

def report_root_causes(causes):
    # Filter causes that are [1] and report them
    filtered = [c for c in causes if c [2] 'critical']
    return filtered

Drag options to blanks, or click blank then click option'

Acritical

B==

C!=

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Using '!=' instead of '=='.

Using '>' which is not valid for strings here.

We filter causes that are exactly critical by checking if c == 'critical'.

5fill in blank

hard

Fill all three blanks to create a summary report dictionary.

Testing Fundamentals

def summary_report(causes):
    report = [1]  # create dictionary
    for cause in causes:
        report[cause.[2]()] = cause.[3]()
    return report

Drag options to blanks, or click blank then click option'

A{}

Bget_name

Cget_severity

D[]

Attempts:

3 left

💡 Hint

Common Mistakes

Using list brackets [] instead of dictionary {}.

Mixing up method names for keys and values.

We create an empty dictionary with {}. Then use get_name() as keys and get_severity() as values.

Practice

1. What is the main goal of root cause analysis in software testing?

easy

A. To find the main reason behind a problem

B. To write more test cases quickly

C. To increase the number of bugs found

D. To improve the user interface design

Solution

1. Step 1: Understand the purpose of root cause analysis

   Root cause analysis aims to identify the fundamental reason why a problem occurs.

2. Step 2: Compare options with the purpose

   Only To find the main reason behind a problem matches the goal of finding the main reason behind a problem.

3. Final Answer:

   To find the main reason behind a problem -> Option A

4. Quick Check:

   Root cause analysis = find main reason [OK]

Hint: Root cause analysis = find main problem reason [OK]

Common Mistakes:

• Confusing root cause analysis with test case writing
• Thinking it increases bug count directly
• Mixing it with UI design improvements

2. Which of the following is a correct first step in performing root cause analysis?

easy

A. Fix the bug immediately without investigation

B. Ignore the problem if it is rare

C. Ask 'Why?' repeatedly to dig deeper

D. Write automated tests before analysis

Solution

1. Step 1: Identify the initial action in root cause analysis

   The process starts by asking 'Why?' multiple times to understand the problem deeply.

2. Step 2: Evaluate the options

   Only Ask 'Why?' repeatedly to dig deeper describes this investigative questioning approach correctly.

3. Final Answer:

   Ask 'Why?' repeatedly to dig deeper -> Option C

4. Quick Check:

   Root cause analysis starts with asking 'Why?' [OK]

Hint: Start root cause analysis by asking 'Why?' [OK]

Common Mistakes:

• Trying to fix before understanding the cause
• Ignoring rare problems without analysis
• Confusing test writing with root cause steps

3. Consider this scenario: A test fails because the login button does not respond. After investigation, you find the button's click event is not bound due to a missing script file. What is the root cause?

medium

A. The script file is missing, so click event is not bound

B. The login button is not visible

C. The test case is incorrect

D. The server is down

Solution

1. Step 1: Analyze the failure reason

   The test fails because the login button does not respond to clicks.

2. Step 2: Identify the root cause

   The missing script file causes the click event not to bind, which is the main reason for failure.

3. Final Answer:

   The script file is missing, so click event is not bound -> Option A

4. Quick Check:

   Missing script file = root cause [OK]

Hint: Root cause is the missing script causing failure [OK]

Common Mistakes:

• Blaming the test case instead of the cause
• Assuming UI visibility is the problem
• Incorrectly blaming server downtime

4. You have a failing test due to a timeout error. You suspect the root cause is a slow database query. Which debugging step will best confirm this?

medium

A. Ignore the timeout and rerun the test

B. Check the test script syntax

C. Restart the test environment

D. Run the database query separately and measure time

Solution

1. Step 1: Identify the suspected root cause

   The slow database query is suspected to cause the timeout.

2. Step 2: Choose the debugging action to confirm

   Running the query separately and measuring its time will confirm if it is slow.

3. Final Answer:

   Run the database query separately and measure time -> Option D

4. Quick Check:

   Measure suspected cause to confirm root cause [OK]

Hint: Test suspected cause directly to confirm [OK]

Common Mistakes:

• Checking unrelated test script syntax
• Restarting environment without analysis
• Ignoring the error and rerunning blindly

5. A web app test fails intermittently due to a 'null reference' error. After root cause analysis, you find the error happens only when the user profile data is missing. How should you fix this to prevent future failures?

hard

A. Increase test timeout to avoid failure

B. Add a check in code to handle missing profile data gracefully

C. Remove the user profile feature entirely

D. Ignore the error since it happens rarely

Solution

1. Step 1: Understand the root cause

   The null reference error occurs because the code does not handle missing user profile data.

2. Step 2: Choose the fix to prevent recurrence

   Adding a code check to handle missing data gracefully will stop the error from happening again.

3. Final Answer:

   Add a check in code to handle missing profile data gracefully -> Option B

4. Quick Check:

   Fix root cause by handling missing data [OK]

Hint: Fix root cause by coding safe checks [OK]

Common Mistakes:

• Ignoring rare errors instead of fixing
• Removing features unnecessarily
• Changing unrelated test settings