Python Institute PCAD-31-02 : Python Institute Certified Associate Data Analyst with Python (PCAD-31-02)

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Python Institute PCAD-31-02 Exam Syllabus Topics:

Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions:

1. What is a key advantage of using the Parquet file format over CSV in large-scale data pipelines?

A) Parquet stores data in plain text, making it human-readable
B) Parquet files can only be used with Excel
C) Parquet offers row-based compression
D) Parquet supports schema evolution and columnar storage

2. Which practices are considered part of professional Python scripting standards?
(Choose two)

A) Including in-line comments and docstrings
B) Using consistent indentation and naming conventions
C) Avoiding error handling to keep code clean
D) Avoiding use of modules and libraries

3. Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?

A) HAVING
B) ORDER BY
C) GROUP BY
D) WHERE

4. Which refinements are typically used to enhance clarity and presentation quality in visualizations?
(Choose two)

A) Avoiding color entirely
B) Customizing tick labels
C) Disabling grid lines in all cases
D) Adding descriptive axis labels

5. 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) Using string concatenation to insert variables into SQL
C) Wrapping SQL commands in try-except blocks
D) Employing parameterized statements for user-supplied data

Solutions: