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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: SQL and Data Management | ||
| Topic 2: Statistical Methods and Modeling | ||
| Topic 3: Data Acquisition and Pre-Processing | 29.2% | |
| Topic 4: Data Visualization and Communication | ||
| Topic 5: Exploratory Data Analysis |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Question 1
Which refinements are typically used to enhance clarity and presentation quality in visualizations?
(Choose two)
A. Adding descriptive axis labels
B. Avoiding color entirely
C. Customizing tick labels
D. Disabling grid lines in all cases
Question 2
What is the key difference between the .iloc[] and .loc[] accessors when working with Series or DataFrames?
A. .iloc[] is position-based, while .loc[] is label-based
B. .loc[] can only be used on Series
C. .iloc[] allows label-based selection
D. .loc[] does not allow slicing
Question 3
Which SQL commands are typically used to retrieve and manipulate data in a data analysis context?
(Choose all that apply)
Response:
A. INSERT
B. UPDATE
C. ROLLBACK
D. SELECT
Question 4
Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)
A. INSERT
B. UPDATE
C. SELECT
D. DELETE
Question 5
What is the primary reason to use .head() and .tail() methods in pandas when exploring datasets?
A. To create visualizations
B. To delete missing values
C. To rename columns
D. To preview the first and last few rows of data
Solutions:
| Question 1 Answer: A,C | Question 2 Answer: A | Question 3 Answer: A,D | Question 4 Answer: A,B | Question 5 Answer: D |


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