Hey Folks, We Came back with new Series AWS Academy Machine Learning Module 2 quiz answers with 100% Accuracy. In the Previous Modules We have seen the AWS Cloud Computing Answers. Then Come with us until the last to know more about this.Â
About Machine LearningÂ
In the realm of technological advancements, a captivating field emerges, captivating minds with its enigmatic charm - machine learning. This remarkable discipline, nestled within the vast domain of artificial intelligence (AI), harnesses the prowess of algorithms and models, empowering computers to learn and prognosticate sans explicit programming. It traverses the ethereal landscape of statistical techniques and computational wizardry, unraveling the secrets concealed within data's intricate tapestry. This allows the machines to perceive patterns, assimilate knowledge from exemplars, and gracefully refine their performance as temporal tides ebb and flow.AWS Academy Machine Learning Module 2Â
Q1. Which Statement describes Machine Learning ?Â
A. The Scientific study of algorithms and statistical models to perform tasks by using inference instead Â
   of instructions.Â
B. The Creation of machines that can perform tasks that human would typically performÂ
C. The Compilation of a large set of rules that cover every Possible outcome.Â
D. A set of instruction that describe how to achieve a desired outcome.Â
Answer: [ A ] The Scientific study of algorithms and statistical models to perform tasks by using             Â
            inference instead of instructions.Â
            inference instead of instructions.Â
Q2. Which type of training describes a machine learning application that interacts with itsÂ
    environment and learns to take actions that maximize rewards ?Â
A. Supervised LearningÂ
B. Unsupervised LearningÂ
C. Reinforcement LearningÂ
D. Deep LearningÂ
Answer:Â [ C ]Â Reinforcement LearningÂ
Q3. You are Creating a machine learning solution for a call center. The objective of the systemÂ
    is to route customers to the appropriate department, and there are eight possible              departments. Which type of Machine Learning Problem does this scenario describe ?Â
A. RegressionÂ
B. Multi class ClassificationÂ
C. Binary ClassificationÂ
D. ClusteringÂ
Answer: [ B ]Â Multi class ClassificationÂ
Q4. You are working on a machine learning problem that requires the system to respondÂ
    to changes in the environment to improve performance. Which type of machine learning         problem does this Scenario describe ?Â
Â
A. Supervised LearningÂ
B. Unsupervised LearningÂ
C. Reinforcement LearningÂ
D. RegressionÂ
Answer: [ D ]Â Regression
Q5. Which stage of the machine learning ( ML ) pipeline involves verifying that data is all of aÂ
    uniform type ?
A. Problem FormulationÂ
B. Model TrainingÂ
C. Data PreparationÂ
D. Feature engineeringÂ
Answer: [ C ]Â Data PreparationÂ
Q6. You are working on a machine learning model that uses data from multiple countries.Â
    The countries are listed by using alphabetical abbreviations. Which stage involve               converting these abbreviations to numerical Values ?Â
A. Data PreparationÂ
B. Model tuningÂ
C. Model EvaluationÂ
D. Model TrainingÂ
Answer: [ A ]Â Data PreparationÂ
Q7. Your Model is overfitting if it performs well on the training data, but not on theÂ
    evaluation data.Â
A. TrueÂ
B. FalseÂ
Answer: [ A ]Â TrueÂ
Q8. Which resource are Python libraries for working with machine learning problems ?Â
    ( Select TWO )Â
A. PandasÂ
B. mathÂ
C. Scikit - LearnÂ
D. Jupyter NotebooksÂ
E. BokehÂ
Answer: [ A ] , [ C ]Â PandasÂ
Â
                  Scikt - learnÂ
Q9. Which Amazon services can you use to deploy machine learning instances and run Jupyter       Notebooks ?Â
A. Amazon ComprehendÂ
B. Amazon Sage Maker Â
C. Amazon PollyÂ
D. Amazon LexÂ
Answer: [ B ]Â Amazon Sage MakerÂ
Q10. Which are requirements for choosing machine learning as a development methodology ?Â
A. A pre - defined machine learning model
B. Large Data sets with a large number of variablesÂ
c. A complete set of rules for decision makingÂ
d. A stand alone data center Â
Answer: [ B ]Â Large Data sets with a large number of variablesÂ
ConclusionÂ
This Module helps in solving the Machine Learning Assessment.Â