Python Institute PCED-30-02 : PCED - Certified Entry-Level Data Analyst with Python

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

1. A health researcher uses wearable devices to record physical activity and sends a survey to randomly selected participants across age groups.
Why can this approach be effective? Select the best answer.

A) It limits sampling to one demographic, ensuring high-quality data within a specific group.
B) It combines automated data collection with representative sampling, reducing the risk of bias.
C) It relies on observational methods, which are more accurate than surveys or sensors.
D) It uses unstructured interviews to validate automated tracking, improving bias detection.

2. You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

A) fields = line.replace(', ', '|').split('|')
B) fields = line.split().strip(', ')
C) fields = line.strip().split(', ')
D) fields = line.split(', ').trim()

3. What will be the output of the following code?

A) 10 10
B) 10 5
C) 5 5
D) 5 10

4. A data analyst exports a cleaned dataset from Python and wants to share it with a colleague for easy use in Excel.
Which file format is best suited for this purpose? Select the best answer.

A) XML, because it automatically preserves spreadsheet formatting and charts.
B) SQL, because it directly converts tabular data into database tables that Excel can open.
C) JSON, because it stores hierarchical data and is designed for visual presentation in Excel.
D) CSV, because it stores tabular data in plain text and is compatible with spreadsheet applications.

5. You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.

A) "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."
B) "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
C) The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
D) "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."

Solutions: