Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) - PCAD-31-02 Exam Practice Test

A. Surveys

B. Web scraping

C. Transactional data

D. Sensor logs

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'

A. Including in-line comments and docstrings

B. Avoiding error handling to keep code clean

C. Using consistent indentation and naming conventions

D. Avoiding use of modules and libraries

A. To evaluate the model's performance on unseen data

B. To ensure the loss function is minimized

C. To reduce the number of iterations during training

D. To optimize the model's training accuracy

A. A normalized version of the data column

B. A histogram of the data distribution

C. Only the standard deviation of the data

D. Basic descriptive statistics such as count, mean, and quartiles

A. df.to_csv()

B. df.info()

C. df.memory_usage()

D. df.dtypes