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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% |
Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
Question #1
What result will the following Pandas expression return: df['Age'].notnull().all()?
A. Returns the number of NULL values in 'Age'
B. Returns True if at least one value in 'Age' is not NULL
C. Returns True if all values in 'Age' are NULL
D. Returns True if all values in 'Age' are not NULL
Question #2
Which operation would most efficiently apply element-wise multiplication to two NumPy arrays of equal size?
A. array1.dot(array2)
B. numpy.outer()
C. array1 * array2
D. numpy.matrix()
Question #3
Which techniques are commonly used to manage type conversion between SQL and Python when importing database values?
(Choose two)
A. Using a mapping function to convert SQL types into Python objects
B. Defining column types in Python using sqlite3.register_converter()
C. Automatically casting Python variables to SQL column types without validation
D. Ignoring data types and treating everything as strings
Question #4
Which of the following are limitations of manual data collection methods?
(Choose two)
A. Increased chance of human error
B. Seamless integration with big data tools
C. Time-consuming process
D. High scalability
Question #5
What is the primary goal of pre-processing data before performing analysis?
A. To minimize the number of data points
B. To compress datasets for storage efficiency
C. To ensure the data is clean, consistent, and suitable for modeling
D. To obscure sensitive information
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: C | Question #3 Correct Answer: A,B | Question #4 Correct Answer: A,C | Question #5 Correct Answer: C |
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