PCAD-31-02 Questions - Pass On First Try [2026]
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q116-Q121):
NEW QUESTION # 116
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 groupby() to compute total sales per region
- B. Applying agg() to calculate multiple metrics like mean and max
- C. Using rename() to change column headers
- D. Using fillna() to replace missing product prices
Answer: A,B
NEW QUESTION # 117
Which practices enhance both readability and professionalism in spreadsheet formatting?
(Choose two)
- A. Using uniform date formats across columns
- B. Applying consistent font and cell styling
- C. Centering all data regardless of type
- D. Aligning column headers to the left
Answer: A,B
NEW QUESTION # 118
What is the main reason to remove duplicate records before performing analysis?
- A. It reduces redundancy that can skew statistical metrics
- B. It helps increase sample size
- C. It ensures training data is intentionally overfitted
- D. It avoids converting data to JSON format
Answer: A
NEW QUESTION # 119
When joining two tables in a relational database using SQL, which clause is used to specify the relationship between their columns?
- A. GROUP BY
- B. JOIN ON
- C. FROM
- D. HAVING
Answer: B
NEW QUESTION # 120
What does the describe() method in Pandas provide when applied to a numerical DataFrame column?
- A. A histogram of the data distribution
- B. Basic descriptive statistics such as count, mean, and quartiles
- C. A normalized version of the data column
- D. Only the standard deviation of the data
Answer: B
NEW QUESTION # 121
......
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