AIF-C01-EXT-03_在线真题试卷与模拟练习_AIF-C01-EXT-03

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A customer service company is exploring ways to improve its AI-powered chatbot, seeking to balance automation with human input to ensure high-quality responses. The company is considering two approaches: Reinforcement Learning from Human Feedback (RLHF) and Amazon Augmented AI (A2I). However, the company needs to understand the primary differences between these two approaches, as it will help the company choose the right approach to enhance the chatbot's accuracy and reliability.

What would you recommend to the company?

A company wants to implement safeguards for its generative AI application using Amazon Bedrock. Specifically, the company wants to filter undesirable and harmful content as well as redact any personally identifiable information (PII).

What do you recommend?

A hiring platform is developing a machine learning model to help companies screen job candidates. During testing, the data science team notices that the model seems to favor certain demographic groups over others. The team suspects that the training data may reflect historical biases from previous hiring practices, leading to biased predictions. To address this issue, the team wants to understand how human bias can influence machine learning outcomes.

Which of the following represents the best-fit explanation for the given scenario?

A financial services company relies on several Independent Software Vendors (ISVs) for key operational applications and needs to maintain up-to-date compliance records to meet regulatory requirements. To streamline its compliance management process, the company wants to receive email notifications whenever new ISV compliance reports, such as SOC 2 or ISO certifications, become available, ensuring that its compliance team is promptly informed and can take necessary actions.

Which AWS service would be most suitable for automatically providing these notifications?

A company is considering using Reinforcement Learning (RL) to optimize decision-making in dynamic environments. Which of the following would you recommend as the best-fit use case for Reinforcement Learning?

A financial services company is exploring machine learning to automate credit scoring and fraud detection. The leadership team, new to this technology, needs to understand the core concept behind machine learning. Gaining clarity on this central idea will help them decide how to best apply machine learning to their business operations. The company has tasked you, as an AI Practitioner, to convey the central idea behind machine learning to the leadership team.

What do you recommend?

A social media company is planning to implement a large language model (LLM) for content moderation to automatically flag inappropriate or harmful content. To ensure the model is fair and does not show bias or discrimination against specific groups or individuals, the company needs to evaluate the model's outputs regularly for potential bias. The team is considering different data sources for this evaluation but wants to choose an option that minimizes administrative effort while still providing reliable and comprehensive insights into any biases or discrimination present in the LLM's outputs.

Given these requirements, which data source would be most suitable?

Which security discipline in the Generative AI Security Scoping Matrix focuses on identifying potential threats to generative AI solutions and recommending mitigations?

The product team at a media company needs to understand the key distinctions between the tasks performed by Natural Language Processing (NLP) compared to those performed by Computer Vision. This will help the team apply the right AI tools for different types of content.

Which of the following do you suggest to the team?

A consulting firm is considering adopting Amazon Q Business to help its teams automate workflows, generate business insights, and streamline decision-making. To ensure smooth integration with their existing AWS infrastructure, the firm's IT department needs to understand which underlying AWS service powers Amazon Q Business.

What do you suggest?

A software company is looking for tools to help its IT professionals streamline the process of coding, testing, and upgrading applications. The team is evaluating different solutions that can improve efficiency, automate routine tasks, and enhance productivity for its workflow.

Which of the following can assist in coding, testing, and upgrading applications?

A technology company is planning to implement machine learning to improve its product recommendation system and optimize supply chain management. The data science team is evaluating different types of machine learning approaches. Gaining a clear understanding of these types will help them choose the right strategy for model development.

What of the following option would you suggest to the team as the three main types of machine learning?

A financial services company manages a machine learning model to assess loan eligibility for its customers. The company wants to migrate to AWS Cloud and is looking at understanding the capabilities of the various SageMaker services to operationalize and manage its Machine Learning workflow.

As an AI Practitioner, what would you recommend to the company as the best-fit use case for the SageMaker Clarify service?

A media company is considering using generative AI to automate content creation for articles, videos, and marketing campaigns. The team wants to understand the underlying mechanics of generative AI, particularly how these models are able to create entirely new content or data, such as text, images, and music, based on patterns learned from existing datasets. This understanding will help the company determine how to best integrate generative AI into its creative workflows.

Given this context, how does generative AI create new content or data?

A company is using Amazon Bedrock based Foundation Model in a Retrieval Augmented Generation (RAG) configuration to provide tailored insights and responses based on client data stored in Amazon S3. Each team within the company is assigned to different clients and uses the foundation model to generate insights specific to their clients' data. To maintain data privacy and security, the company needs to ensure that each team can only access the model responses generated from the data of their respective clients, preventing any unauthorized access to other teams' client data.

What is the most effective approach to implement this access control and maintain data security?

A healthcare company is using machine learning to analyze patient data and improve diagnostics. The data science team is considering both supervised and unsupervised machine learning approaches to handle different types of data, as understanding the key differences between these two approaches will help the team determine which method is best suited for tasks like disease prediction versus discovering hidden patterns in patient data.

Which of the following would you identify as the key difference between supervised machine learning and unsupervised machine learning?

In the context of the AWS Shared Responsibility Model, which statement best describes the security responsibilities of both AWS and the customer when using Amazon Bedrock for generative AI applications?

A logistics company is building machine learning models using Amazon SageMaker to predict delivery times and optimize routes. The data science team needs to clean and preprocess large datasets efficiently but wants to minimize manual coding to speed up development. They are looking for an Amazon SageMaker service that offers built-in data transformations, allowing them to quickly prepare the data without writing code.

Which of the following options is the best-fit for these requirements?

A healthcare company is building a machine learning model to predict patient outcomes based on various health indicators. The data science team is exploring different techniques to improve the model’s accuracy by refining the input data, specifically using feature extraction and feature selection. Understanding the key differences between these two approaches will help the team optimize the model’s performance.

What do you suggest to the company?

A healthcare organization is deploying AI systems on AWS to manage sensitive patient data and support clinical decision-making. To meet strict regulatory requirements, the IT and compliance teams are seeking a service that offers continuous monitoring, tracks changes in resource configurations, and ensures compliance with healthcare standards. The company is evaluating which AWS service can help maintain governance and security throughout the AI system lifecycle.

What do you recommend?

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