Question 1
A company is training a foundation model (FM). The company wants to increase the
accuracy of the model up to a specific acceptance level.
Which solution will meet these requirements?
A. Decrease the batch size
B. Increase the epochs
C. Decrease the epochs
D. Increase the temperature parameter
CORRECT ANSWER
B. Increase the epochs
Question 2
A company is building a large language model (LLM) question answering chatbot. The
company wants to decrease the number of actions call center employees need to take to
respond to customer questions.
Which business objective should the company use to evaluate the effect of the LLM chatbot?
A. Website engagement rate
B. Average call duration
C. Corporate social responsibility
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,D. Regulatory compliance
CORRECT ANSWER
B. Average call duration
Question 3
Which functionality does Amazon SageMaker Clarify provide?
A. Integrates a Retrieval Augmented Generation (RAG) workflow
B. Monitors the quality of ML models in production
C. Documents critical details about ML models
D. Identifies potential bias during data preparation
CORRECT ANSWER
D. Identifies potential bias during data preparation
Question 4
A company is developing a new model to predict the prices to specific items. the model
performed well on the training dataset. When the company deployed the model to
production, the model's performance decreased significantly.
What should the company do to mitigate this problem?
A. Reduce the volume of the data that is used in training
B. Add hyperparameters to the model
C. Increase the volume of data that is used in training
D. Increase the model training time
CORRECT ANSWER
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, C. Increase the volume of data that is used in training
Question 5
An ecommerce company wants to build a solution to determine customer sentiments
based on written customer reviews of products.
Which AWS services meet these requirements? (Choose 2)
A. Amazon Lex
B. Amazon Comprehend
C. Amazon Polly
D. Amazon Bedrock
E. Amazon Rekognition
CORRECT ANSWER
B. Amazon Comprehend
D. Amazon Bedrock
Question 6
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a
chat interface for the company's product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?
A. Use prompt engineering to add one PDF file as context to the user prompt when the
prompt is submitted to Amazon Bedrock
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, B. Use prompt engineering to add all the PDF files as context to the user prompt when the
prompt is submitted to Amazon Bedrock
C. Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned
model to process user prompts.
D. Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base
to provide context when users submit prompts to Amazon Bedrock.
CORRECT ANSWER
D. Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge
base to provide context when users submit prompts to Amazon Bedrock.
Question 7
A social media company wants to use a large language model (LLM) for content
moderation. The company wants to evaluate the LLM outputs bias and potential
discrimination against specific groups or individuals.
Which data source should the company use to evaluate the LLM outputs with the LEAST
administrative effort?
A. User-generated content
B. Moderation logs
C. Content moderation guidelines
D. Benchmark datasets
CORRECT ANSWER
D. Benchmark datasets
Question 8
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A company is training a foundation model (FM). The company wants to increase the
accuracy of the model up to a specific acceptance level.
Which solution will meet these requirements?
A. Decrease the batch size
B. Increase the epochs
C. Decrease the epochs
D. Increase the temperature parameter
CORRECT ANSWER
B. Increase the epochs
Question 2
A company is building a large language model (LLM) question answering chatbot. The
company wants to decrease the number of actions call center employees need to take to
respond to customer questions.
Which business objective should the company use to evaluate the effect of the LLM chatbot?
A. Website engagement rate
B. Average call duration
C. Corporate social responsibility
1
@THE STUDY VAULT
,D. Regulatory compliance
CORRECT ANSWER
B. Average call duration
Question 3
Which functionality does Amazon SageMaker Clarify provide?
A. Integrates a Retrieval Augmented Generation (RAG) workflow
B. Monitors the quality of ML models in production
C. Documents critical details about ML models
D. Identifies potential bias during data preparation
CORRECT ANSWER
D. Identifies potential bias during data preparation
Question 4
A company is developing a new model to predict the prices to specific items. the model
performed well on the training dataset. When the company deployed the model to
production, the model's performance decreased significantly.
What should the company do to mitigate this problem?
A. Reduce the volume of the data that is used in training
B. Add hyperparameters to the model
C. Increase the volume of data that is used in training
D. Increase the model training time
CORRECT ANSWER
2
@THE STUDY VAULT
, C. Increase the volume of data that is used in training
Question 5
An ecommerce company wants to build a solution to determine customer sentiments
based on written customer reviews of products.
Which AWS services meet these requirements? (Choose 2)
A. Amazon Lex
B. Amazon Comprehend
C. Amazon Polly
D. Amazon Bedrock
E. Amazon Rekognition
CORRECT ANSWER
B. Amazon Comprehend
D. Amazon Bedrock
Question 6
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a
chat interface for the company's product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?
A. Use prompt engineering to add one PDF file as context to the user prompt when the
prompt is submitted to Amazon Bedrock
3
@THE STUDY VAULT
, B. Use prompt engineering to add all the PDF files as context to the user prompt when the
prompt is submitted to Amazon Bedrock
C. Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned
model to process user prompts.
D. Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base
to provide context when users submit prompts to Amazon Bedrock.
CORRECT ANSWER
D. Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge
base to provide context when users submit prompts to Amazon Bedrock.
Question 7
A social media company wants to use a large language model (LLM) for content
moderation. The company wants to evaluate the LLM outputs bias and potential
discrimination against specific groups or individuals.
Which data source should the company use to evaluate the LLM outputs with the LEAST
administrative effort?
A. User-generated content
B. Moderation logs
C. Content moderation guidelines
D. Benchmark datasets
CORRECT ANSWER
D. Benchmark datasets
Question 8
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