PCAD-31-02 Valid Exam Question - Test PCAD-31-02 Question

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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q103-Q108):

NEW QUESTION # 103
In supervised learning, what is the primary goal when training a model on labeled data?

A. To discover hidden patterns without outputs
B. To learn a function that maps inputs to known outputs
C. To cluster data points into similar groups
D. To analyze unstructured data formats like text

Answer: B

NEW QUESTION # 104
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. while loop with try block
C. for loop with if condition
D. lambda expression with reduce

Answer: C

NEW QUESTION # 105
What result will the following Pandas expression return: df['Age'].notnull().all()?

A. Returns True if all values in 'Age' are NULL
B. Returns True if all values in 'Age' are not NULL
C. Returns True if at least one value in 'Age' is not NULL
D. Returns the number of NULL values in 'Age'

Answer: B

NEW QUESTION # 106
What is one potential risk of dynamically constructing SQL queries using string concatenation in Python scripts?

A. Exposure to SQL injection attacks
B. Slower database performance
C. Increased memory usage
D. Missing foreign key constraints

Answer: A

NEW QUESTION # 107
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. Dropping all columns
D. Imputation using mean or median

Answer: D

NEW QUESTION # 108
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