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

1. Which Python control structures are commonly used for data filtering and iterative operations in real-world analytics tasks?
(Choose two)

A) while loops
B) match-case statements
C) decorators
D) list comprehensions

2. Which characteristics are typically associated with unstructured data formats?
(Choose two)

A) Requires parsing or transformation before analysis
B) Lacks predefined data schema
C) Stored using fixed-width fields and records
D) Highly tabular and query-friendly

3. Which actions are valid techniques for handling erroneous categorical values in a dataset?
(Choose two)

A) Normalizing using min-max scaling
B) Converting all values to integers
C) Removing rows with invalid labels
D) Replacing inconsistent labels with a standardized value

4. When working with relational databases in Python, what are key components required to establish and manage database connections?
(Choose all that apply)

A) Python's random module for generating keys
B) Connection object to interface with the database
C) Cursor object for executing queries
D) Database driver or module (e.g., sqlite3)

5. Which function is used to reshape a NumPy array without modifying the original data values?

A) reshape()
B) transpose()
C) flatten()
D) resize()

Solutions: