Data Science with Python Certification

FREE Introduction to Python for Data Science Questions and Answers

What command will enable you to obtain a stack trace while using the interactive Python debugger?

Where

Step

Whatis

Correct! Wrong!

Explanation:
The command at the interactive Python debugger prompt that helps you in getting a stack trace while debugging a Python program is where or w.

Which activity does not fall under the data science lifecycle's Dissemination phase?

Creating and managing analysis scripts

Deploying findings and reports to a production environment

Publishing and sharing result findings

Writing reports of the results from each iteration

Correct! Wrong!

Explanation:
Creating and managing analysis scripts is not typically included in the Dissemination phase of the data science lifecycle.

What does Python's "capture" cell magic command not support?

It cannot be used to capture graphical cell output

It can be used to capture the standard error stream of a cell

It can capture textual cell output into variable in the current namespace

It can be used to capture the standard output stream of a cell

Correct! Wrong!

Explanation:
The statement "It cannot be used to capture graphical cell output" is invalid regarding the "capture" cell magic command in Python.

What qualifies as not a property of an ndarray object?

shape

dtype

length

ndim

Correct! Wrong!

What kind of data can be used to satisfy the needs of an application that has datasets that are not suited for an RDBMS yet require order and hierarchy

Unstructured

Semi-structured

Structured

Complex

Correct! Wrong!

Explanation:
Semi-structured data is suitable to address the requirement for an application having datasets that are not suitable for a Relational Database Management System (RDBMS) but still require order and hierarchy.

Choosing the incorrect command to create and reshape a 60-integer array when the NumPy package has been imported as an object with the name np

myArray=np.arrange(60).reshape(8,7)

myArray=np.arrange(60).reshape(12,5)

myarray=np.linspace(0,60,60).reshape(3,20)

myArray=np.arrange(60).reshape(10,6)

Correct! Wrong!

Explanation:
The command myArray = np.arrange(60).reshape(8,7) is not a valid command for creating and reshaping a 60-integer array using NumPy.

What does the Jupyter Notebook application not apply to?

A notebook server must be running in order to create and interact with notebook documents

It is web-based, interactive computing environment

Cell may only be run one at a time

Code may be stored and run one at a time

Code may be stored and run along with its output in each notebook document

Correct! Wrong!

Explanation:
The statement "Cell may only be run one at a time" is not applicable to the Jupyter Notebook application.

FREE Introduction to Python for Data Science Questions and Answers

What command will enable you to obtain a stack trace while using the interactive Python debugger?

Which activity does not fall under the data science lifecycle's Dissemination phase?

What does Python's "capture" cell magic command not support?

What qualifies as not a property of an ndarray object?

What kind of data can be used to satisfy the needs of an application that has datasets that are not suited for an RDBMS yet require order and hierarchy

Choosing the incorrect command to create and reshape a 60-integer array when the NumPy package has been imported as an object with the name np

What does the Jupyter Notebook application not apply to?

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