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Python Institute PCAD-31-02 Exam Syllabus Topics:

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

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q100-Q105):

NEW QUESTION # 100
Which approaches are commonly used to extract structured data from APIs in Python?
(Choose two)

A. Open Excel files using matplotlib
B. Access data using requests.get() and parse it with .json()
C. Use the requests module to retrieve JSON responses
D. Load CSV directly with re.compile()

Answer: B,C

NEW QUESTION # 101
When joining two tables in a relational database using SQL, which clause is used to specify the relationship between their columns?

A. GROUP BY
B. HAVING
C. FROM
D. JOIN ON

Answer: D

NEW QUESTION # 102
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. No correlation
C. A moderate non-linear association
D. A weak positive relationship

Answer: A

NEW QUESTION # 103
Why is it important to use a test dataset separate from the training dataset when evaluating a machine learning model?

A. To ensure the loss function is minimized
B. To reduce the number of iterations during training
C. To optimize the model's training accuracy
D. To evaluate the model's performance on unseen data

Answer: D

NEW QUESTION # 104
Why might using a pie chart to represent category proportions be less effective than a bar chart?

A. Human perception is less accurate at judging angles than lengths
B. Pie charts cannot be created using Seaborn
C. Pie charts display individual data points more clearly
D. Bar charts are limited to one variable only

Answer: A

NEW QUESTION # 105
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