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Python Institute PCED-30-02 Exam Syllabus Topics:

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

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

2. A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?

A) Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
B) Predictive analytics - it uses weather and illness trends to forecast future cancellations.
C) Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
D) Descriptive analytics - it reports appointment numbers across past seasons.

3. You want to safely read the contents of a file named records.txtand store them in a list. Your requirements are:
- The file should be automatically closed after reading,
- The code should check whether the file exists before opening it, and
- It should handle missing file errors gracefully.
Which of the following is the most appropriate way to accomplish this task in Python? Select the best answer.

A)

B)

C)

D)

4. A list is defined as [1, 2, 3]. The programmer uses the method .append([4, 5]). What will the resulting list look like after execution?

A) [4,5,1,2,3]
B) [1,2,3,4,5]
C) [1,2,3,[4,5]]
D) Error

5. You are developing a temperature control module for a laboratory incubator. Your objectives are to:
- generate timestamps every 10 minutes over a 3-hour span (i.e., 0 to 180 minutes), and
- simulate five evenly spaced target temperatures between 35.0°C and 37.0°C for system calibration.
Which code snippet correctly produces both sequences using NumPy? Select the best answer.
import numpy as np

A) timestamps = np.linspace(0, 180, 10)
target_temps = np.arange(35.0, 37.0, 5)
import numpy as np
B) timestamps = np.arange(0, 180, 10)
target_temps = np.linspace(35.0, 37.0, 4)
import numpy as np
C) timestamps = np.arange(0, 181, 10)
target_temps = np.linspace(35.0, 37.0, 5)
D) timestamps = np.linspace(0, 181, 10)
target_temps = np.arange(35.0, 37.0, 0.5)
import numpy a3 np

Solutions: