A data analyst at a retail company receives a list of sales transactions as a list of tuples, where each tuple is (product_id, quantity, price). They need to compute the total revenue for each product and store the result in a dictionary. Which approach correctly accomplishes this?

Use a list comprehension to create a new list of revenues and then take the sum of that list.

Create a dictionary from the list using dict() and then use the sum() function on the dictionary values.

Use a for loop to iterate over the list, and for each tuple, update a dictionary keyed by product_id, adding quantity * price to the existing value.

Convert the list of tuples to a set and then sum the elements to get total revenue.

A data analyst is writing a script that will be run daily. They want to ensure it is efficient and maintainable. Which practice is most important?

Use descriptive variable names and add docstrings to functions.

Use global variables to avoid passing parameters.

Minimize the number of functions to reduce code length.

Write the script in a single line to save space.

A data analyst has a dictionary mapping product IDs to prices. They need to find the product with the highest price. Which code snippet correctly does this?

max_price = max(prices.values()); product_id = [k for k, v in prices.items() if v == max_price][0]

product_id = max(prices, key=prices.get)

product_id = max(prices.values())

A data analyst is writing a function that takes a variable number of keyword arguments representing column names and their default values. They want to use these to create a dictionary. Which function definition is correct?

def create_defaults(*args): return dict(args)

def create_defaults(**kwargs): return list(kwargs)

def create_defaults(kwargs): return kwargs

def create_defaults(**kwargs): return kwargs

Python InstitutePCAD - Certified Associate in Data Analytics with Python

Domain 2Objective 1

Core Python Proficiency PCAD-31 Practice Questions (Page 3)

Part of the Programming and Database Skills domain, which accounts for 33.3% of the PCAD-31 exam. Python Institute does not publish an official question count, but from its 60-minute exam (~25–40 total, ~8–8 in this domain), expect 2–2 from this objective — we provide 50 practice questions to prepare you well beyond it. (estimate)

50questions here

10free pages

5concepts

33.3%of the exam

Questions 11–15

11application · medium
A data analyst at a retail company receives a list of sales transactions as a list of tuples, where each tuple is (product_id, quantity, price). They need to compute the total revenue for each product and store the result in a dictionary. Which approach correctly accomplishes this?
Select an answer first
12application · medium
A data analyst is writing a script that will be run daily. They want to ensure it is efficient and maintainable. Which practice is most important?
Select an answer first
13application · medium
A data analyst has a dictionary mapping product IDs to prices. They need to find the product with the highest price. Which code snippet correctly does this?
Select an answer first
14application · medium
A data analyst is writing a function that takes a variable number of keyword arguments representing column names and their default values. They want to use these to create a dictionary. Which function definition is correct?
Select an answer first
15application · easy
A data scientist is using a Jupyter notebook to explore a dataset. They want to see the first few rows of a pandas DataFrame. Which command should they use?
Select an answer first

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