A company needs to monitor the performance of its ML systems by using a highly scalable AWS service.Which AWS service meets these requirements?
Answer(s): A
Amazon CloudWatch is a highly scalable AWS service designed for monitoring and observability. It provides real-time monitoring of system metrics, including performance data for ML systems, such as resource utilization(CPU, memory, etc.), model inference latency, request counts, and errors. CloudWatch enables users to set up alarms, visualize metrics, and automate actions based on performance thresholds, making it ideal for monitoring the performance of ML systems.
An AI practitioner must fine-tune an open source large language model (LLM) for text categorization. The dataset is already prepared.Which solution will meet these requirements with the LEAST operational effort?
Answer(s): B
SageMaker JumpStart provides prebuilt solutions and workflows for fine-tuning open source models with minimal setup. It reduces operational effort compared to custom scripts, EC2 notebooks, or PartyRock, making it the most efficient choice.
Which statement describes a generative AI use case for multimodal models?
Answer(s): D
Multimodal generative AI models are designed to process and reason across multiple data types such as images, audio, video, and text within a single model.
A company wants to use large language models (LLMs) to produce code from natural language code comments.Which LLM feature meets these requirements?
Text generation is the feature of large language models (LLMs) that enables them to produce text based on a given prompt or input. In this scenario, the input would be natural language code comments, and the LLMwould generate code based on those comments. This process involves understanding the context of the comment and generating corresponding code, which is the core functionality of text generation.
A company is developing an ML application. The application must automatically group similar customers and products based on their characteristics. Which ML strategy should the company use to meet these requirements?
Unsupervised learning is used to automatically group or cluster similar customers and products based on their characteristics without the need for labeled data. This strategy fits scenarios where the goal is to discover patterns or groupings in the data.
A company wants to improve its chatbot's responses to match the company's desired tone. The company has100 examples of high-quality conversations between customer service agents and customers. The company wants to use this data to incorporate company tone into the chatbot's responses.Which solution meets these requirements?
Bedrock’s fine-tuning lets you adapt a foundation model on your own conversation examples—in this case, the100 high-quality transcripts to instill your company’s tone directly into the model’s response generation.
An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.Which solution meets these requirements with the LEAST implementation effort?
Adding a role description to the prompt is the simplest and most effective way to adjust the model's response style based on the user's age range. It requires minimal implementation effort and effectively tailors the output.The other options involve more complex processes, such as fine-tuning or additional reasoning steps.
A company plans to use a generative AI model to provide real-time service quotes to users.Which criteria should the company use to select the correct model for this use case?
For real-time service quotes, the critical requirement is low response time. A model with optimized inference speed and low latency ensures fast and efficient user interactions, making it the correct selection criterion.
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the correct answer to q8 is b. explanation since the mule app has a dependency, it is necessary to include project modules and dependencies to make sure the app will run successfully on the runtime on any other machine. source code of the component that the mule app is dependent of does not need to be included in the exported jar file, because the source code is not being used while executing an app. compiled code is being used instead.
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Delayed the exam until December 29th.
A and D are True
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