Exam DP-500 topic 1 question 36 discussion

I think answer should be A

it should be A. dataset[‘Unit Price’], => (return a column) pandas.DataFrame(‘Unit Price’), => (show the entire table)

https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-python-visuals

definitely a is the answer

dataset[‘Unit Price’] is correct answer

This syntax accesses the Unit Price column by specifying the column name within square brackets after the dataset object. Using dataset['Unit Price'] retrieves the values from the specified column for further processing or visualization in the Python visual.

A is correct answer.

Should be A

A is the correct answer, been developing python scripts for years now and i only used dataset['column name']

From ChatGPT: The correct answer is A. dataset[‘Unit Price’]. This is the correct way to reference the Unit Price column in the Python code.

C is WRONG!

Is correct A https://pandas.pydata.org/docs/getting_started/intro_tutorials/03_subset_data.html

A is correct since it's how you select a column in pandas dataframe. https://pandas.pydata.org/docs/getting_started/intro_tutorials/03_subset_data.html C is to initialize a new dataframe. In this case it will initialize a dataframe with each character as a column value (string is an iterable in Python) https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html

A. Sure

Question is so bad but the forst param for a dataframe is data and a string cannot be dataset column just an index So for me A https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html

I think A, because: You can access columns in the dataset by using their names. For example, you can code dataset["Age"] in your Python script to access the age field.

I think A works