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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:

1. In a scatter plot showing the relationship between advertising spend and sales revenue, the points form a tight upward-sloping pattern. What conclusion can be drawn?

A) Advertising has no effect on sales
B) The data shows no apparent relationship
C) There is a strong positive correlation
D) The correlation is weak and likely negative

2. When analyzing a sales dataset using Pandas, which of the following techniques help extract key insights by grouping and summarizing the data?
(Choose two)

A) Using rename() to change column headers
B) Using fillna() to replace missing product prices
C) Applying agg() to calculate multiple metrics like mean and max
D) Using groupby() to compute total sales per region

3. Which practices are essential to ensure a fair evaluation of a machine learning model's performance?
(Choose two)

A) Randomizing the test dataset labels
B) Using cross-validation to assess generalizability
C) Splitting data into training and test sets
D) Training on the entire dataset including test records

4. Which characteristics are commonly associated with cloud-based data storage solutions?

A) High availability and redundancy
B) Elastic scalability
C) Requires dedicated local hardware
D) Physical proximity to user machines

5. Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)

A) Sorting columns alphabetically
B) Automatically converting all text to uppercase
C) Using assertions to enforce domain-specific rules
D) Defining and enforcing schema constraints

Solutions: