Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:
1. Which characteristics are commonly associated with cloud-based data storage solutions?
A) High availability and redundancy
B) Elastic scalability
C) Physical proximity to user machines
D) Requires dedicated local hardware
2. Which practices help ensure secure and effective execution of SQL queries in Python scripts?
(Choose all that apply)
A) Wrapping SQL commands in try-except blocks
B) Using string formatting to build SQL queries dynamically
C) Using string concatenation to insert variables into SQL
D) Employing parameterized statements for user-supplied data
3. When analyzing a sales dataset using Pandas, which of the following techniques help extract key insights by grouping and summarizing the data?
(Choose two)
A) Using rename() to change column headers
B) Using groupby() to compute total sales per region
C) Applying agg() to calculate multiple metrics like mean and max
D) Using fillna() to replace missing product prices
4. Which chart types are commonly used to represent relationships between two numerical variables in Python-based visualizations?
(choose two)
Response:
A) Scatter plot
B) Line chart
C) Heatmap
D) Histogram
5. When working with relational databases in Python, what are key components required to establish and manage database connections?
(Choose all that apply)
A) Connection object to interface with the database
B) Cursor object for executing queries
C) Database driver or module (e.g., sqlite3)
D) Python's random module for generating keys
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A,D | Question # 3 Answer: B,C | Question # 4 Answer: A,C | Question # 5 Answer: A,C |

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