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Free Amazon AIF-C01 Exam Braindumps (page: 8)

Page 8 of 48
PDF with 233 Questions

An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort.
Which strategy meets these requirements?

  1. Object detection
  2. Anomaly detection
  3. Named entity recognition
  4. Inpainting

Answer(s): A

Explanation:

Object detection is used to automatically identify and categorize objects (in this case, animals) in photos. It can detect the presence of animals and classify them accordingly. The other strategies are not suitable for identifying and categorizing animals in images.



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?

  1. On-Demand
  2. Model customization
  3. Provisioned Throughput
  4. Spot Instance

Answer(s): A

Explanation:

The On-Demand pricing model provides flexibility without requiring a long-term commitment, allowing the company to pay only for the resources used, which fits well with a limited budget. The other options are either not relevant to pricing flexibility or involve specific resource commitments.



Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?

  1. Amazon Personalize
  2. Amazon SageMaker JumpStart
  3. PartyRock, an Amazon Bedrock Playground
  4. Amazon SageMaker endpoints

Answer(s): B

Explanation:

Amazon SageMaker JumpStart provides pre-built models, including foundation models, that can be quickly deployed and consumed within a VPC, helping teams get started faster. The other options are not designed for deploying foundation models in this context.



How can companies use large language models (LLMs) securely on Amazon Bedrock?

  1. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.
  2. Enable AWS Audit Manager for automatic model evaluation jobs.
  3. Enable Amazon Bedrock automatic model evaluation jobs.
  4. Use Amazon CloudWatch Logs to make models explainable and to monitor for bias.

Answer(s): A

Explanation:

Designing clear prompts and using IAM roles with least privilege access ensures secure use of LLMs on Amazon Bedrock by minimizing access risks and preventing misuse. The other options do not directly address securing the use of LLMs.



A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that employees provide. The employees have minimal experience with technology.
Which solution meets these requirements?

  1. Generative pre-trained transformers (GPT)
  2. Residual neural network
  3. Support vector machine
  4. WaveNet

Answer(s): A

Explanation:

GPT models are well-suited for converting natural language input into structured queries like SQL, making them ideal for building an AI-based application that translates employee-provided text into SQL queries. The other options are not designed for natural language understanding and query generation tasks.



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