Question 1

How is deep learning different from general machine learning?

Options :

A : It requires no domain knowledge.

B : It uses a layered architecture mimicking the human brain.

C : It relies solely on historical data.

D : It is unrelated to pattern recognition.

Answer: B

Question 2

Which task is machine learning NOT used for in the examples provided?

Options :

A : Scheduling medical staff

B : Improving product recommendations

C : Recognizing content on mobile check deposits

D : Customizing search results

Answer: A

Question 3

A real estate company wants to create a machine learning model for predicting housing prices based on a historical dataset. The dataset contains 32 features. Which model will meet the business requirement?

Options :

A : Linear regression

B : K-means

C : Logistic regression

D : Principal component analysis (PCA)

Answer: A

Question 4

What is the primary benefit of Amazon Forecast for users without ML experience?

Options :

A : Requires no ML experience to get started.

B : Provides advanced visualization tools for data analysis.

C : Integrates seamlessly with all Amazon products.

D : Automatically generates forecasts based on real-time data.

Answer: A

Question 5

A large company has developed a BI application that generates reports and dashboards using data collected from various operational metrics.The company wants to provide executives with an enhanced experience so they can use natural language to get data from the reports. The company wants the executives to be able to ask questions using written and spoken interfaces.Which combination of services can be used to build this conversational interface? (Choose three.)

Options :

A : Alexa for Business

B : Amazon Polly

C : Amazon Lex

D : Amazon Comprehend

E : Amazon Transcribe

F : Amazon Connect

Answer: D,E,F

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