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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q25-Q30):

NEW QUESTION # 25
Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)

A. Limit database user permissions to only necessary operations
B. Construct queries using f-strings for readability
C. Store credentials securely using environment variables
D. Sanitize input by replacing dangerous characters with asterisks

Answer: A,C

NEW QUESTION # 26
Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)

A. Ignoring data types and treating everything as strings
B. Defining column types in Python using sqlite3.register_converter()
C. Automatically casting Python variables to SQL column types without validation
D. Using a mapping function to convert SQL types into Python objects

Answer: B,D

NEW QUESTION # 27
Which method is best suited to transform inconsistent entries such as "N/A", "missing", and empty strings into a standard missing value representation in a Pandas DataFrame?

A. df.replace()
B. df.dropna()
C. df.rename()
D. df.sort_values()

Answer: A

NEW QUESTION # 28
Which SQL command should a data analyst use to modify existing records in a database table based on specific conditions?

A. INSERT
B. UPDATE
C. CREATE
D. SELECT

Answer: B

NEW QUESTION # 29
How would you extract the last three rows of a DataFrame df using position-based indexing?

A. df.tail(3)
B. df[-3]
C. df.iloc[-3:]
D. df.loc[-3:]

Answer: C

NEW QUESTION # 30
......

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