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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
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.

Answer: D

NEW QUESTION # 35
A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?" Which solution meets these requirements with the LEAST operational overhead?

A. Use unsupervised learning to create a model that will estimate probability density.
B. Use reinforcement learning to train a model to return the probability.
C. Use code that will calculate probability by using simple rules and computations.
D. Use supervised learning to create a regression model that will predict probability.

Answer: C

NEW QUESTION # 36
A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency.
Which SageMaker inference option meets these requirements?

A. Asynchronous inference
B. Serverless inference
C. Real-time inference
D. Batch transform

Answer: C

NEW QUESTION # 37
A company needs to build its own large language model (LLM) based on only the company's private data.
The company is concerned about the environmental effect of the training process.
Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?

A. Amazon EC2 Trn series
B. Amazon EC2 P series
C. Amazon EC2 C series
D. Amazon EC2 G series

Answer: A

NEW QUESTION # 38
A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data.
Which strategy will successfully fine-tune the model?

A. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
B. Train the model on journals and textbooks.
C. Provide labeled data with the prompt field and the completion field.
D. Purchase Provisioned Throughput for Amazon Bedrock.

Answer: C

NEW QUESTION # 39
......

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