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| Section | Weight | Objectives |
|---|
| SQL and Data Management | | |
| Statistical Methods and Modeling | | |
| Exploratory Data Analysis | | |
| Data Acquisition and Pre-Processing | 29.2% | |
| Data Visualization and Communication | | |
>> New PCAD-31-02 Test Practice <<
Quiz 2026 PCAD-31-02: Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) – Valid New Test Practice
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q36-Q41):
NEW QUESTION # 36
What is the correct SQL statement to permanently remove a table named customers from a database?
- A. REMOVE TABLE customers;
- B. DELETE TABLE customers;
- C. TRUNCATE TABLE customers;
- D. DROP TABLE customers;
Answer: D
NEW QUESTION # 37
Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?
- A. sqlite3
- B. pymysql
- C. psycopg2
- D. sqlalchemy
Answer: A
NEW QUESTION # 38
Which practices help maintain data integrity across large datasets in Pandas workflows?
(Choose two)
- A. Automatically converting all text to uppercase
- B. Using assertions to enforce domain-specific rules
- C. Defining and enforcing schema constraints
- D. Sorting columns alphabetically
Answer: B,C
NEW QUESTION # 39
Which operations are recommended when organizing messy tabular data in Pandas for further transformation and statistical modeling?
(choose two)
- A. Converting the DataFrame to a Series
- B. Resetting the index after filtering
- C. Dropping column headers
- D. Ensuring consistent data types
Answer: B,D
NEW QUESTION # 40
Which element is essential to justify a conclusion drawn from a dataset?
- A. The use of color in plots
- B. The origin of the dataset
- C. File format of the source data
- D. Logical reasoning and supported metrics
Answer: D
NEW QUESTION # 41
......
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