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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Acquisition and Pre-Processing	29.2%
Topic 2: Exploratory Data Analysis
Topic 3: SQL and Data Management
Topic 4: Data Visualization and Communication
Topic 5: Statistical Methods and Modeling

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q34-Q39):

NEW QUESTION # 34
Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)

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

Answer: B,C

NEW QUESTION # 35
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. Using a mapping function to convert SQL types into Python objects
D. Automatically casting Python variables to SQL column types without validation

Answer: B,C

NEW QUESTION # 36
Which operation would most efficiently apply element-wise multiplication to two NumPy arrays of equal size?

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

Answer: A

NEW QUESTION # 37
Which practices contribute to better exception handling in data pipelines involving file I/O and numerical computations?
(Choose two)

A. Using specific exception types like FileNotFoundError or ZeroDivisionError
B. Catching all exceptions using a generic except: clause without specifying the error
C. Suppressing all error output using pass
D. Logging error messages for later inspection during failures

Answer: C,D

NEW QUESTION # 38
Which refinements are typically used to enhance clarity and presentation quality in visualizations?
(Choose two)

A. Disabling grid lines in all cases
B. Adding descriptive axis labels
C. Customizing tick labels
D. Avoiding color entirely

Answer: B,C

NEW QUESTION # 39
......

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