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Homework answers / question archive / Question<br/>Question Title 1<br/>Which of the following are reasons for why testing is required for data science coding tasks? -Problems in data science tasks are not easily detectable -Data pipelines may not be working properly

Question<br/>Question Title 1<br/>Which of the following are reasons for why testing is required for data science coding tasks? -Problems in data science tasks are not easily detectable -Data pipelines may not be working properly

Computer Science

Question<br/>Question Title 1<br/>Which of the following are reasons

for why testing is required for data science coding tasks?

-Problems in data science tasks are not easily detectable
-Data pipelines may not be working properly.
-ETL will always catch encoding errors.
-Model features may be used inappropriately.

Question Title 2
When running a cell on the SageMaker notebook instance, where is the code being executed?

-The UI interface and the actual computation are running on your local browser
-The UI interface runs on the AWS Cloud while the actual computation happens on local browser
-The UI interface and the actual computation are running on the AWS Cloud.
-The UI interface runs on your local browser while the actual computation happens on the AWS CloudQuestion Title 3
Identify the true statements about object-oriented programming.
Objects has characteristics.
Objects have attributes.
Objects does actions.
Objects has methods.


Question Title 4
Which of the following statements are CORRECT?
Backpropagation feeds the signals back through the network to make adjustments on the weights in each layer based on the ground truth.
A perceptron is a neural-like element of a neural network which takes an input signal from all perceptrons of the prior layer.
A neural network is an approach that contains perceptrons which are all independent.


Question Title 5
Which of the following best describes Deep Learning?
Deep learning uses the Neural Network Algorithm to backpropogate across its perceptrons.
Deep learning is a state of the art process for modeling predictive tasks of extraordinary high dimensionality.
Deep learning is a modeling process that works particularly well for low dimensionality problems.


Question Title 6
"The following descriptions best describe what: 1. Value that has to be assigned manually. 2. The K value in K-nearest-neighbore is an example of this. 3. Value is set before the training."
Model Parameter
Model hyperparameter
Centroid
Significance


Question Title 7
Identify the true statements about gradient descent.
It is an optimization algorithm.
It can converge to 0, but it doesn't have to.
Gradient descent is used to update the parameters of our model.
The purpose is to find the local maxima of the cost function.


Question Title 8
Check the boxes next to the statements that are true.
Any changes to a parent class manifest in its children.
Inheritance encourages code reusability.
Inheritance can make object-oriented programs more efficient to write.
Inheritance makes code much more difficult to maintain.


Question Title 9
I need to run a Python package with the following module in the directory: 
1. Generaldistribution.py 
2. mydata.csv


My directory is ready to install the package.
TRUE
FALSE


Question Title 10
Which of the following is a type of documentation that you can use to make your code easier to navigate?
Docstrings
Project documentation
Interstitial sideboards
In-line comments 
Sidebar comments


Question Title 11
Finish the following sentence: Generally, if there's an "and" in your function name, consider ______.
Renaming
Refactoring
Adding additional modules
Arguing
Abstracting


Question Title 12
Which of the following is true about Python?
Python distinguishes between private and public variables.
Python allows you to access attributes directly.
Python was not designed to use `get` and `set` methods to access attributes.
You can access attributes in Python the same way as C++ and Java.


Question Title 13
Choose all of the following which are benefits of using meaningful names in writing clean code.
Use descriptive names but don't include details about implementation
Always use abbreviations to keep things short
Clearly differentiate names
Be descriptive and imply type
Make as similar as possible


Question Title 14
In the following code, `new_nd = ND('Data','AWS', 'scholarship', 3)`, what is ND?
Attribute
Object
Class


Question Title 15
Why is it useful to track loss while the model is being trained?
None of the above
Loss can help understand how much the model is changing per iteration. When it converges, that's an indicator that further training will have little benefit.
Loss is only useful as a final metric. It should not be evaluated while the model is being trained.
Loss dictates how effective the model is.


Question Title 16
After a GAN is trained, which parts of it are used to generate new outputs from data?
Both generator and discriminator
Discriminator
Neither
Generator


Question Title 17
How do the GANs in the AWS DeepComposer notebook demo (https://github.com/aws-samples/aws-deepcomposer-samples/tree/master/Lab%202) represent and interpret music?
Music is represented as a knowledge graph
Music is represented as sheet music images
Music is represented as several two-dimensional matrices.
Music is represented as time-series events.


Question Title 18
What are some considerations to keep in mind when doing code review?
Do function use effective docstrings?
Is minimal documentation provided for this project?
Can we reduce the number of calculations in this step?
How do I reduce the number of iterations in a loop?
How can I vectorize this loop?


Question Title 19
We have 1000 images of cats and 1000 images of dogs. Let's build a "cat-dog detector." Which type of machine learning algorithms would you use to solve this problem?
Unsupervised Learning
Reinforcement Learning
Supervised Learning
Generative AI


Question Title 20
What service does AWS DeepComposer use for hosting machine learning inference?
TensorFlow
Amazon SageMaker
AWS Lambda
Amazon Lex




Question Title 21
In the following code, `new_nd = change_length(2)`, what is change_length?
Attribute
Object
Method

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