Product Questions: 87 Version: 4.0_在线真题试卷与模拟练习_Product Questions: 87 Version: 4.0

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An Al practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The Al practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.

How should the Al practitioner prevent responses based on confidential data?

Which feature of Amazon OpenSearch Service gives companies the ability to build vector applications?

A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months.

Which AWS solution should the company use to automate the generation of graphs?

A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children.

Which AWS service or feature will meet these requirements?

A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model.

The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure.

Which solution will meet these requirements?

A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products.

Which methodology should the company use to meet these requirements?

^{A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.}

^{An Al practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.}

^{What should the Al practitioner include in the report to meet the transparency and explainability requirements?}

Which option is a use case for generative Al models?

An Al practitioner is using a large language model (LLM) to create content for marketing campaigns.The generated content sounds plausible and factual but is incorrect.

Which problem is the LLM having?

A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.

Which solution will meet these requirements?

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?

A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.

Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?

A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing.

Which AWS service meets this requirement?

A company wants to use large language models (LMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files.

Which solution meets these requirements MOST cost-effectively?

Which term describes the numerical representations of real-world objects and concepts that Al and natural language processing (NLP) models use to improve understanding of textual information?

A company is building an application that needs to generate synthetic data that is based on existing data.

Which type of model can the company use to meet this requirement?

A company wants to use generative Al 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 company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment.

Which Amazon Bedrock pricing model meets these requirements?

A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.

Which solution will meet these requirements?

What are tokens in the context of generative Al models?

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