Amazon AIF-C01 Quiz 1 Topic 1 Questions 1-5

Question: 1

A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.

Which solution will meet this requirement?

AUse Amazon Inspector to monitor SageMaker Studio.

BUse Amazon Macie to monitor SageMaker Studio.

CConfigure SageMaker to use a VPC with an S3 endpoint.

DConfigure SageMaker to use S3 Glacier Deep Archive.

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Question: 2

An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential dat

a. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.

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

ADelete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.

BMask the confidential data in the inference responses by using dynamic data masking.

CEncrypt the confidential data in the inference responses by using Amazon SageMaker.

DEncrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).

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Question: 3

Which option is a use case for generative AI models?

AImproving network security by using intrusion detection systems

BCreating photorealistic images from text descriptions for digital marketing

CEnhancing database performance by using optimized indexing

DAnalyzing financial data to forecast stock market trends

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Question: 4

A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency.

Which SageMaker inference option meets these requirements?

AReal-time inference

BServerless inference

CAsynchronous inference

DBatch transform

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Question: 5

A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The company wants to implement Agents for Amazon Bedrock.

What are the key benefits of using Amazon Bedrock agents that could help this retailer?

AGeneration of custom foundation models (FMs) to predict customer needs

BAutomation of repetitive tasks and orchestration of complex workflows

CAutomatically calling multiple foundation models (FMs) and consolidating the results

DSelecting the foundation model (FM) based on predefined criteria and metrics

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Amazon AIF-C01 Quiz:1 Topic:1 Questions:1-5