Quiz Updated Python Institute - PCAD-31-02 - Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Excellect Pass Rate

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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Exploratory Data Analysis
Statistical Methods and Modeling
SQL and Data Management
Data Visualization and Communication
Data Acquisition and Pre-Processing	29.2%

>> PCAD-31-02 Excellect Pass Rate <<

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q128-Q133):

NEW QUESTION # 128
Which characteristics are typically associated with supervised learning algorithms?
(Choose two)

A. They require labeled training data
B. They are useful for regression and classification tasks
C. They work only with numerical features
D. They automatically detect outliers

Answer: A,B

NEW QUESTION # 129
Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?

A. WHERE
B. ORDER BY
C. GROUP BY
D. HAVING

Answer: A

NEW QUESTION # 130
Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?

A. df['id'].isnull().sum()
B. df['id'].fillna()
C. df['id'].nunique()
D. df['id'].duplicated().any()

Answer: D

NEW QUESTION # 131
Which Python construct allows you to iterate over a list of dictionary values and apply conditional logic to accumulate numerical values that meet a certain threshold?

A. filter() function with map
B. lambda expression with reduce
C. for loop with if condition
D. while loop with try block

Answer: C

NEW QUESTION # 132
Which conditions typically necessitate data normalization or scaling before analysis?
(choose two)

A. Boolean feature encoding
B. Features with different units and scales
C. Presence of duplicate data
D. Distance-based modeling algorithms

Answer: B,D

NEW QUESTION # 133
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