Training PCAD-31-02 Solutions & Exam PCAD-31-02 Objectives
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q63-Q68):
NEW QUESTION # 63
Which actions are considered best practices when managing datasets in Python using pandas?
(Choose two)
- A. Replace missing values with hardcoded zeros without analysis
- B. Use .describe() for summary statistics
- C. Use .info() to understand dataset structure
- D. Always convert all columns to strings
Answer: B,C
NEW QUESTION # 64
What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?
- A. A moderate non-linear association
- B. No correlation
- C. A strong negative linear relationship
- D. A weak positive relationship
Answer: C
NEW QUESTION # 65
Which practices help ensure secure and effective execution of SQL queries in Python scripts?
(Choose all that apply)
- A. Using string formatting to build SQL queries dynamically
- B. Employing parameterized statements for user-supplied data
- C. Wrapping SQL commands in try-except blocks
- D. Using string concatenation to insert variables into SQL
Answer: B,C
NEW QUESTION # 66
Which of the following libraries is specifically optimized for high-performance numerical computation with multi-dimensional arrays in Python?
- A. pandas
- B. seaborn
- C. matplotlib
- D. NumPy
Answer: D
NEW QUESTION # 67
What result will the following Pandas expression return: df['Age'].notnull().all()?
- A. Returns True if all values in 'Age' are not NULL
- B. Returns True if at least one value in 'Age' is not NULL
- C. Returns the number of NULL values in 'Age'
- D. Returns True if all values in 'Age' are NULL
Answer: A
NEW QUESTION # 68
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