Pass Guaranteed 2026 Python Institute PCAD-31-02: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Test Review

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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: Statistical Methods and Modeling
Topic 3: Data Visualization and Communication
Topic 4: Exploratory Data Analysis
Topic 5: SQL and Data Management

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q13-Q18):

NEW QUESTION # 13
Which technique would be most appropriate to handle missing numerical values in a dataset intended for machine learning?

A. Filling with random values
B. Replacing with NULL
C. Imputation using mean or median
D. Dropping all columns

Answer: C

NEW QUESTION # 14
Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)

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

Answer: B,C

NEW QUESTION # 15
Which metric is most appropriate for evaluating the accuracy of a classification model?

A. R-squared
B. Precision
C. Confusion matrix
D. Mean squared error

Answer: B

NEW QUESTION # 16
Which Python control structures are commonly used for data filtering and iterative operations in real-world analytics tasks?
(Choose two)

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

Answer: A,D

NEW QUESTION # 17
Which statements correctly describe differences between linear and logistic regression?
(Choose two)

A. Logistic regression uses the logit function to model relationships
B. Linear regression requires target variables to be binary
C. Linear regression applies only to classification tasks
D. Logistic regression outputs probabilities, while linear regression predicts continuous values

Answer: A,D

NEW QUESTION # 18
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