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 |
|---|---|---|
| Data Exploration and Statistical Analysis | 25% | - Exploratory data analysis
|
| Data Modeling and Machine Learning Basics | 20% | - Supervised learning fundamentals
|
| SQL and Database Integration | 10% | - Relational database concepts
|
| Data Visualization and Communication | 15% | - Data storytelling and reporting
|
| Data Acquisition and Preprocessing | 30% | - Data cleaning and validation
|
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Which metric is most appropriate for evaluating the accuracy of a classification model?
- A. R-squared
- B. Confusion matrix
- C. Mean squared error
- D. Precision
Correct Answer: D 🗳️
Which of the following are limitations of manual data collection methods?
(Choose two)
- A. High scalability
- B. Time-consuming process
- C. Seamless integration with big data tools
- D. Increased chance of human error
Correct Answer: B,D 🗳️
What is the main reason to remove duplicate records before performing analysis?
- A. It ensures training data is intentionally overfitted
- B. It reduces redundancy that can skew statistical metrics
- C. It avoids converting data to JSON format
- D. It helps increase sample size
Correct Answer: B 🗳️
Which SQL commands can be used to modify the contents of a table's data directly?
(Choose all that apply)
- A. UPDATE
- B. DELETE
- C. SELECT
- D. INSERT
Correct Answer: A,D 🗳️
Why is min-max scaling applied before using algorithms like K-Nearest Neighbors or SVM?
- A. To make all features interpretable as binary values
- B. To prevent features with larger scales from dominating distance calculations
- C. To compress all values into integers
- D. To convert strings into numeric values
Correct Answer: B 🗳️
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