Lacanienta - PCAP-31-03 Practice Exam: PCAP – Certified Associate in Python Programming Certification

Objectives covered by the block (6 items) * import variants ; advanced qualifying for nested modules What is the output of the following code if spam.py is run? # spam.py

print( "spam" , end= ' ' ) import ham

# ham.py

import eggs print( "ham" , end= ' ' )

# eggs.py

print( "eggs" , end= ' ' )

( ) Syntax Error ( ) spam eggs ham ( ) spam ham ( ) eggs ham spam ( ) spam ham eggs How do you call the function ham() saved as spam.py below?

def ham (): print( "Hello World" )

[ ] import spam; ham() [ ] import spam.ham; ham() [ ] import spam; spam.ham() [ ] from spam import ham; ham() [ ] import ham from spam; ham() * import variants; advanced qualifying for nested modules Given the following package layout

package/ subpackage1/ __init__.py moduleX.py moduleY.py subpackage2/ moduleZ.py moduleA.py

Select all option(s) containing valid relative imports called from __init__.py [ ] from .moduleY import spam
[ ] from .moduleY import spam as ham
[ ] from ..subpackage1 import moduleY
[ ] from ..subpackage2.moduleZ import eggs
[ ] from ..moduleA import foo How will you shorten the function call to spam() defined inside packageA.subpackageB.subpackageC.moduleD? [ ] import packageA.subpackageB.subpackageC.moduleD
[ ] import packageA.subpackageB.subpackageC.moduleD as p
[ ] import packageA.subpackageB.subpackageC.moduleD alias p
[ ] from packageA.subpackageB.subpackageC.moduleD import *
[ ] from packageA.subpackageB.subpackageC.moduleD import spam
[ ] from packageA.subpackageB.subpackageC.moduleD import spam as s
[ ] from packageA.subpackageB.subpackageC.moduleD import spam alias s * dir() ; sys.path variable Select all valid parameters to function dir() [ ] No parameter [ ] Object [ ] [ ] None Select all valid option(s) about the result of dir() [ ] A list of filenames inside the directory
[ ] A list of the module's attribute
[ ] A list of names of class attributes
[ ] A list of names of object attributes
[ ] A list of names of the base class attributes
* dir(); sys.path variable Select all valid option(s) about sys.path [ ] sys.path is a string that specifies the path where Python is installed
[ ] sys.path is a string that specifies the path of the compiled Python bytecode
[ ] sys.path is a list of strings that specifies the search path for modules
[ ] A program is free to modify sys.path for its own purpose.
* math: ceil() , floor(), trunc(), factorial(), hypot(), sqrt(); random: random(), seed(), choice(), sample() What is the output of the following code?

>>> math.ceil( -1.1 )

( ) -1 ( ) -1.0 ( ) -2 ( ) -2.0 * math: ceil(), floor() , trunc(), factorial(), hypot(), sqrt(); random: random(), seed(), choice(), sample() What is the output of the following code?

>>> math.floor( -1.1 )

( ) -1 ( ) -1.0 ( ) -2 ( ) -2.0 * math: ceil(), floor(), trunc(), factorial() , hypot(), sqrt(); random: random(), seed(), choice(), sample() What is the output of the following code?

>>> math.factorial( 3.0 ))

( ) ( ) 6.0 ( ) TypeError: type float doesn't define __factorial__ method ( ) TypeError: factorial() takes 2 arguments What is the output of the following code?

>>> math.factorial( -3.0 )

( ) -6
( ) -6.0 ( ) TypeError: type float doesn't define __factorial__ method ( ) ValueError: factorial() not defined for negative values * math: ceil(), floor(), trunc(), factorial(), hypot() , sqrt(); random: random(), seed(), choice(), sample() What is the output of the following code?

>>> math.hypot( )

( ) 3.6055512754639896 ( ) 2.0 ( ) TypeError: type int doesn't define __hypot__ method ( ) TypeError: hypot() takes 2 arguments * math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt() ; random: random(), seed(), choice(), sample() What is the output of the following code?

>>> math.sqrt( )

( ) 0.5 ( ) ( ) 1.0 ( ) TypeError: type int doesn't define __sqrt__ method * math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt(); random: random() , seed(), choice(), sample() Select all option(s) which returns a random floating number between 0 and 1? ( ) math.random() ( ) math.random(1.0) ( ) random.random() ( ) random.random(1.0) Select all option(s) which returns a random number between 0 and 100? ( ) random.random(100)
( ) random.random(0, 100)
( ) random.random()*100
( ) random.random(100.0) * math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt(); random: random(), seed() , choice(), sample() What can be the possible output of the following code?

random.seed( , ) print(random.random())

( ) 3.6055512754639896 ( ) 0.5714025946899135 ( ) AttributeError: module 'random' has no attribute 'seed' ( ) TypeError: seed() takes 1 argument * math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt(); random: random(), seed(), choice() , sample() Select all option(s) to properly call the choice() and/or choices() function? [ ] random.choice("spam", "ham", "eggs") [ ] random.choice(["spam", "ham", "eggs"]) [ ] random.choice({"spam", "ham", "eggs"}) [ ] random.choices(["spam", "ham", "eggs"]) [ ] random.choices(["spam", "ham", "eggs"], weights = [10, 1, 1], k = 14) * math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt(); random: random(), seed(), choice(), sample() What can be the possible output of the following code?

>>> random.sample([ "spam" , "ham" , "eggs" ], k = )

( ) spam ( ) [spam] ( ) TypeError: sample() got an unexpected keyword argument 'k' ( ) TypeError: sample() takes 1 argument * platform: platform() , machine(), processor(), system(), version(), python_implementation(), python_version_tuple() Select all option(s) to properly call the platform() function? [ ] system.platform() [ ] platform.platform() [ ] system.platform(aliased=0, terse=0) [ ] platform.platform(alias=0, version=0) [ ] platform.platform(aliased=0, terse=0) * platform: platform(), machine() , processor(), system(), version(), python_implementation(), python_version_tuple() Select all option(s) to properly call the machine() function? [ ] system . machine() [ ] platform . machine() [ ] system . machine(aliased=0) [ ] platform . machin e( terse=0) [ ] platform . [ ] Possible return values are CPython , IronPython , Jython , PyPy . * platform: platform(), machine(), processor(), system(), version() , python_implementation(), python_version_tuple() Select all option(s) to properly call the version() function? [ ] system.version() [ ] platform.version() [ ] system.version(aliased=0) [ ] platform.version(terse=0) [ ] platform.version(None) What is the datatype of the return value of the function platform.version()? ( ) int ( ) float ( ) str ( ) array * platform: platform(), machine(), processor(), system(), version(), python_implementation() , python_version_tuple() Select all option(s) to properly call the python_implementation() function? [ ] system.python_implementation() [ ] platform.python_implementation() [ ] system.python_implementation(aliased=0) [ ] platform.python_implementation(terse=0) [ ] platform.python_implementation(None) Select all option(s) about the python_implementation() that is TRUE? [ ] python_implementation() returns the OS hosting Python [ ] python_implementation() returns the execution environment of Python [ ] Possible return values are Linux , Darwin , Java , Windows or an empty string if it can't be determined. [ ] Possible return values are CPython , IronPython , Jython , PyPy . * platform: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple() Select all option(s) to properly call the python_version_tuple() function? [ ] system.python_version_tuple() [ ] platform.python_version_tuple() [ ] system.python_version_tuple(aliased=0) [ ] platform.python_version_tuple(terse=0) [ ] platform.python_version_tuple(None) * idea: __pycache__ , __name__, public variables, __init__.py Which of the statements below is valid? [ ] Python is interpreted therefore it never compiles the py files.