| Question.21 A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible. Which solution will meet these requirements? (A) Deploy optimized small language models (SLMs) on edge devices. (B) Deploy optimized large language models (LLMs) on edge devices. (C) Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices. (D) Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices. |
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Correct Answer: A
| Question.22 A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams. Which SageMaker feature meets these requirements? (A) Amazon SageMaker Feature Store (B) Amazon SageMaker Data Wrangler (C) Amazon SageMaker Clarify (D) Amazon SageMaker Model Cards |
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Correct Answer: A
| Question.23 A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer. What can Amazon Q Developer do to help the company meet these requirements? (A) Create software snippets, reference tracking, and open source license tracking. (B) Run an application without provisioning or managing servers. (C) Enable voice commands for coding and providing natural language search. (D) Convert audio files to text documents by using ML models. |
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Correct Answer: A
| Question.24 A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic. Which AWS service or feature will meet these requirements? (A) AWS PrivateLink (B) Amazon Macie (C) Amazon CloudFront (D) Internet gateway |
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Correct Answer: A
| Question.25 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 supervised learning to create a regression model that will predict probability. (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 unsupervised learning to create a model that will estimate probability density. |
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Correct Answer: C