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| Section | Weight | Objectives |
|---|
| Topic 1: Exploratory Data Analysis | | |
| Topic 2: Data Acquisition and Pre-Processing | 29.2% | |
| Topic 3: Statistical Methods and Modeling | | |
| Topic 4: Data Visualization and Communication | | |
| Topic 5: SQL and Data Management | | |
>> Valid PCAD-31-02 Test Notes <<
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q111-Q116):
NEW QUESTION # 111
When fetching DATETIME values from a SQL database into Python, which Python data type is most appropriate for storing and manipulating these values?
- A. float
- B. str
- C. datetime.datetime
- D. time.struct_time
Answer: C
NEW QUESTION # 112
Which command should a data analyst use to install the pandas library in a Python environment using the Python Package Index?
- A. install pip pandas
- B. pip install pandas
- C. python get pandas
- D. python install pandas
Answer: B
NEW QUESTION # 113
What is the most appropriate way to ensure that a column used as a foreign key contains only valid references to a parent DataFrame in Pandas?
- A. Use df.dropna() on the foreign key column
- B. Use df.sort_values() to sort both columns before merging
- C. Use .isin() to compare the foreign key column against the parent key column
- D. Use df.merge() with how='outer'
Answer: C
NEW QUESTION # 114
Which of the following are true characteristics of bootstrapping in statistics?
(Choose two)
- A. It uses random sampling with replacement
- B. It assumes a normal distribution
- C. It requires a large population sample
- D. It enables confidence interval estimation
Answer: A,D
NEW QUESTION # 115
Which technique is considered a primary defense against SQL injection when executing database queries from Python?
- A. Encrypting the database connection
- B. Closing the database cursor after each query
- C. Escaping quotes manually in SQL strings
- D. Using parameterized queries
Answer: D
NEW QUESTION # 116
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