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1. A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot learning to improve intent detection accuracy.
Which additional data does the company need to meet these requirements?
A) Pairs of user intents and correct chatbot responses
B) Pairs of user messages and correct chatbot responses
C) Pairs of user messages and correct user intents
D) Pairs of chatbot responses and correct user intents
2. A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.
Which solution will meet this requirement?
A) Configure SageMaker to use S3 Glacier Deep Archive.
B) Use Amazon Macie to monitor SageMaker Studio.
C) Configure SageMaker to use a VPC with an S3 endpoint.
D) Use Amazon Inspector to monitor SageMaker Studio.
3. A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis.
The company wants to classify the sentiment of text passages as positive or negative.
Which prompt engineering strategy meets these requirements?
A) Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt.
B) Provide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.
C) Provide the new text passage to be classified without any additional context or examples.
D) Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.
4. A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns.
The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.
Which solution meets these requirements?
A) Select a large, diverse dataset to pre-train a new generative model.
B) Optimize the model's architecture and hyperparameters to improve the model's overall performance.
C) Increase the model's complexity by adding more layers to the model's architecture.
D) Create effective prompts that provide clear instructions and context to guide the model's generation.
5. A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group.
Which type of bias is affecting the model output?
A) Observer bias
B) Confirmation bias
C) Measurement bias
D) Sampling bias
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: D |
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