Question 1
A travel company wants to use a pre-trained generative AI model to generate background
images for marketing materials. The company does not have ML expertise. Additionally,
the company does not want to customize and host the ML model.
Which AWS service will meet these requirements?
A. Amazon Bedrock
B. Amazon SageMaker JumpStart
C. Amazon Rekognition
D. Amazon Personalize
CORRECT ANSWER
Amazon Bedrock
Amazon Bedrock is a fully managed service that provides a unified API to access popular
foundation models (FMs). Amazon Bedrock supports image generation models from
providers such as Stability AI or AWS. You can use Amazon Bedrock to consume FMs
through a unified API without the need to train, host, or manage ML models. This is the
most suitable solution for a company that does not want to train or manage ML models
for image generation.
Question 2
A data scientist notices that a model has high accuracy on training data, but has low
accuracy on testing data.
What is causing these results?
A. Not enough training time
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, B. Underfitting
C. Too much training data
D. Overfitting
CORRECT ANSWER
Overfitting
Overfitting is when a model learns from the training data but is unable to perform well
when given new data. Overfitting explains why the model has high accuracy on the
training data but has low accuracy on the testing data.
Question 3
A company uses Amazon SageMaker for its ML models. The company wants to implement
a solution for model owners to create a record of model information. The model
information should include intended uses, risk ratings, training details, and evaluation
results.
Which SageMaker feature will meet these requirements?
A. SageMaker Role Manager
B. SageMaker Model Cards
C. SageMaker Model Dashboard
D. SageMaker Model Monitor
CORRECT ANSWER
SageMaker Model Cards
You can use these to create records and to document details about ML models in a single
place. SageMaker Model Cards support transparent and explainable model development
by providing comprehensive, immutable documentation of essential model information.
Question 4
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@THE STUDY VAULT
A travel company wants to use a pre-trained generative AI model to generate background
images for marketing materials. The company does not have ML expertise. Additionally,
the company does not want to customize and host the ML model.
Which AWS service will meet these requirements?
A. Amazon Bedrock
B. Amazon SageMaker JumpStart
C. Amazon Rekognition
D. Amazon Personalize
CORRECT ANSWER
Amazon Bedrock
Amazon Bedrock is a fully managed service that provides a unified API to access popular
foundation models (FMs). Amazon Bedrock supports image generation models from
providers such as Stability AI or AWS. You can use Amazon Bedrock to consume FMs
through a unified API without the need to train, host, or manage ML models. This is the
most suitable solution for a company that does not want to train or manage ML models
for image generation.
Question 2
A data scientist notices that a model has high accuracy on training data, but has low
accuracy on testing data.
What is causing these results?
A. Not enough training time
1
@THE STUDY VAULT
, B. Underfitting
C. Too much training data
D. Overfitting
CORRECT ANSWER
Overfitting
Overfitting is when a model learns from the training data but is unable to perform well
when given new data. Overfitting explains why the model has high accuracy on the
training data but has low accuracy on the testing data.
Question 3
A company uses Amazon SageMaker for its ML models. The company wants to implement
a solution for model owners to create a record of model information. The model
information should include intended uses, risk ratings, training details, and evaluation
results.
Which SageMaker feature will meet these requirements?
A. SageMaker Role Manager
B. SageMaker Model Cards
C. SageMaker Model Dashboard
D. SageMaker Model Monitor
CORRECT ANSWER
SageMaker Model Cards
You can use these to create records and to document details about ML models in a single
place. SageMaker Model Cards support transparent and explainable model development
by providing comprehensive, immutable documentation of essential model information.
Question 4
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@THE STUDY VAULT
