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.