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

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

2. Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)

A) INSERT
B) DELETE
C) SELECT
D) UPDATE

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

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

4. What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?

A) A strong negative linear relationship
B) A weak positive relationship
C) No correlation
D) A moderate non-linear association

5. Which operation would most efficiently apply element-wise multiplication to two NumPy arrays of equal size?

A) numpy.outer()
B) array1.dot(array2)
C) numpy.matrix()
D) array1 * array2

Solutions: