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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. When fetching DATETIME values from a SQL database into Python, which Python data type is most appropriate for storing and manipulating these values?
A) str
B) time.struct_time
C) datetime.datetime
D) float
2. Which of the following statements best describes the structural relationship between Pandas Series and DataFrames?
A) A DataFrame is a two-dimensional container of Series objects
B) A Series can only be created from a DataFrame
C) A Series contains multiple DataFrames
D) A DataFrame is a one-dimensional array of Series
3. Which Pandas methods are commonly used to extract central tendency and dispersion insights from a DataFrame?
(Choose two)
A) var()
B) median()
C) sort_values()
D) pivot_table()
4. Which Python feature allows the reuse of logic in different data processing steps, reducing duplication and improving maintainability?
A) Global variables
B) Custom functions
C) Tuple unpacking
D) Lambda functions
5. Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?
A) HAVING
B) ORDER BY
C) WHERE
D) GROUP BY
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A,B | Question # 4 Answer: B | Question # 5 Answer: C |


