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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

1. An online retailer collects customer reviews, order transaction logs, and product ratings.
Which of the following correctly classifies these types of data? Select the best answer.

A) Product ratings are qualitative and unstructured; customer reviews are quantitative and structured; transaction logs are semi-structured and qualitative.
B) Product ratings are quantitative and structured; customer reviews are qualitative and unstructured; transaction logs are structured and quantitative
C) Product ratings are quantitative and unstructured; customer reviews are structured and qualitative; transaction logs are quantitative and unstructured.
D) Product ratings are qualitative and structured; customer reviews are qualitative and unstructured; transaction logs are quantitative and semi-structured.

2. A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)

A) Retaining user data permanently unless users explicitly request deletion.
B) Automatically opting users into data sharing unless they manually change settings.
C) Providing users with a clear explanation of how their data is used and obtaining explicit consent.
D) Limiting data access only to marketing staff to streamline personalization.
E) Implementing encryption for both stored and transmitted customer data.

3. A programmer writes a script to test operator precedence using the expression 3 + 4 * 2 ** 2. The goal is to evaluate the result correctly based on Python's operator hierarchy rules. What result should the script produce?

A) 35
B) 19
C) 28
D) 49

4. A teacher wants to compare the number of students in different school clubs:

Which type of chart would be most appropriate to show this comparison? Select the best answer.

A) Bubble chart
B) Line chart
C) Bar chart
D) Pie chart

5. You are working with city names entered by users. These names may contain inconsistent capitalization and unwanted spaces.
To standardize the data, you want to:
- Remove any leading or trailing whitespace, and
- Capitalize the first letter of each word (e.g., convert "new york" to "New York").
For example:
" New york " → "New York"
"lOS ANGELES" → "Los Angeles"
You are given a variable citythat contains the raw input.
Which line of code correctly updates the value of cleaned_cityto apply the required transformation? Select the best answer.

A) cleaned_city = city.strip().title()
B) cleaned_city = city.upper().strip()
C) cleaned_city = city.upper().replace(" ", "")
D) cleaned_city = city.strip().capitalize()

Solutions: