Exam Name: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)
Certification Provider: Python Institute
Corresponding Certification: Python Institute Certification
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Python Institute PCAD-31-02 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Analysis Fundamentals | 20% | - Data Collection and Preparation
|
| Topic 2: Applied Data Analysis Projects | 20% | - Exploratory Data Analysis (EDA)
|
| Topic 3: Python Programming for Data Analysis | 30% | - File Operations
|
| Topic 4: Working with Data Using Python Libraries | 30% | - Pandas Library
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Which operation would most efficiently apply element-wise multiplication to two NumPy arrays of equal size?
- A. numpy.outer()
- B. array1.dot(array2)
- C. numpy.matrix()
- D. array1 * array2
Correct Answer: D 🗳️
What is the main reason for using try-except blocks in a data analysis script that reads multiple files?
- A. To ensure functions always return None
- B. To gracefully handle runtime errors without crashing the program
- C. To enforce strict type annotations
- D. To automatically restart the script after execution
Correct Answer: B 🗳️
When analyzing a dataset of customer ages, you calculate the mean, median, and mode. What does it indicate if all three values are approximately equal?
- A. The dataset contains outliers
- B. The dataset has a normal distribution
- C. The dataset is uniformly distributed
- D. The dataset is positively skewed
Correct Answer: B 🗳️
Why is it important to use a test dataset separate from the training dataset when evaluating a machine learning model?
- A. To evaluate the model's performance on unseen data
- B. To ensure the loss function is minimized
- C. To optimize the model's training accuracy
- D. To reduce the number of iterations during training
Correct Answer: A 🗳️
Which type of regression is most appropriate when the response variable is categorical, such as predicting customer churn (Yes/No)?
- A. Polynomial regression
- B. Linear regression
- C. Logistic regression
- D. Decision tree regression
Correct Answer: C 🗳️
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