A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies,the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur.Which solution meets these requirements?
Answer(s): C
Guardrails for Amazon Bedrock can be used to filter content and ensure that personal patient information is not included in model responses. Setting up Amazon CloudWatch alarms allows the company to receive notifications when policy violations occur. The other options are not specifically designed for filtering model output and monitoring policy compliance.
A medical company wants to develop an AI application that can access structured patient records, extract relevant information, and generate concise summaries.Which solution will meet these requirements?
Answer(s): A
Amazon Comprehend Medical is specifically designed to extract structured medical information (such as medication, condition, test results) from unstructured text. By applying rule-based logic afterward, relevant data can be formatted into concise summaries, meeting both the extraction and summarization needs.
A company is preparing for a compliance review. The company needs an AWS service that automatically collects information from the company's AWS accounts and generates reports for reviewers.Which AWS service meets these requirements?
Answer(s): B
AWS Audit Manager automatically collects evidence from AWS accounts, maps that evidence to compliance controls and frameworks, and generates audit-ready reports for reviewers.
What is tokenization used for in natural language processing (NLP)?
Tokenization is the process of dividing text into smaller units, such as words, subwords, or characters, which can then be analyzed or processed by NLP models. It is a foundational step in preparing text data for machine learning.
HOTSPOT (Drag and Drop is not supported)A company wants to build a new ML solution. The company already has data. The company needs to understand the ML lifecycle before building the solution.Select and order the steps from the following list to correctly describe the ML lifecycle. Select each step one time.Hot Area:
The ML lifecycle starts with preparing and cleaning the available data, followed by training the model on that data. The trained model is then evaluated to verify performance before being deployed into production for real-world use.
A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.Which solution will meet these requirements?
Human-in-the-loop validation ensures high accuracy by involving human reviewers to verify and correct annotations, minimizing the risk of errors in the generated images. The other options are not directly relevant for ensuring annotation accuracy in image generation.
Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?
Amazon SageMaker Model Cards provide a structured way to document key details about AI models, including their intended use, performance metrics, and limitations. This helps organizations maintain transparency,compliance, and governance in AI model development, making it easier to track and manage models over time.
A company is building an AI application to summarize books of varying lengths. During testing, the application fails to summarize some books.Why does the application fail to summarize some books?
Answer(s): D
Language models have a maximum context size, which limits the number of input tokens they can process at once. If a book's length exceeds this limit, the model cannot handle the full input, leading to failure in summarization.
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question 59 - a newly-created role is not assigned to any user, nor granted to any other role. answer is b https://docs.snowflake.com/en/user-guide/security-access-control-overview
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q.112 - correct answer is c - the event registry is a module that provides event definitions. answer a - not correct as it is the definition of event log
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question # 232: accessibility, privacy, and innovation are not data quality dimensions.