Practice Free AIF-C01 Exam Online Questions
A company is using a pre-trained large language model (LLM). The LLM must perform multiple tasks that require specific domain knowledge. The LLM does not have information about several technical topics in the domain. The company has unlabeled data that the company can use to fine-tune the model.
Which fine-tuning method will meet these requirements?
- A . Full training
- B . Supervised fine-tuning
- C . Continued pre-training
- D . Retrieval Augmented Generation (RAG)
A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company’s employees prefer.
What should the company do to meet these requirements?
- A . Evaluate the models by using built-in prompt datasets.
- B . Evaluate the models by using a human workforce and custom prompt datasets.
- C . Use public model leaderboards to identify the model.
- D . Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.
An ML research team develops custom ML models. The model artifacts are shared with other teams for integration into products and services. The ML team retains the model training code and data. The ML team wants to builk a mechanism that the ML team can use to audit models.
Which solution should the ML team use when publishing the custom ML models?
- A . Create documents with the relevant information. Store the documents in Amazon S3.
- B . Use AWS A] Service Cards for transparency and understanding models.
- C . Create Amazon SageMaker Model Cards with Intended uses and training and inference details.
- D . Create model training scripts. Commit the model training scripts to a Git repository.
A company created an AI voice model that is based on a popular presenter. The company is using the model to create advertisements. However, the presenter did not consent to the use of his voice for the model. The presenter demands that the company stop the advertisements.
Which challenge of working with generative AI does this scenario demonstrate?
- A . Intellectual property (IP) infringement
- B . Lack of transparency
- C . Lack of fairness
- D . Privacy infringement
A company wants to create a chatbot to answer employee questions about company policies.
Company policies are updated frequently. The chatbot must reflect the changes in near real time.
The company wants to choose a large language model (LLM).
- A . Fine-tune an LLM on the company policy text by using Amazon SageMaker.
- B . Select a foundation model (FM) from Amazon Bedrock to build an application.
- C . Create a Retrieval Augmented Generation (RAG) workflow by using Amazon Bedrock Knowledge Bases.
- D . Use Amazon Q Business to build a custom Q App.
A company needs to use Amazon SageMaker AI for model training and inference. The company must comply with regulatory requirements to run SageMaker jobs in an isolated environment without internet access.
Which solution will meet these requirements?
- A . Run SageMaker training and inference by using SageMaker Experiments.
- B . Run SageMaker training and inference by using network isolation.
- C . Encrypt the data at rest by using encryption for SageMaker geospatial capabilities.
- D . Associate appropriate AWS Identity and Access Management (IAM) roles with the SageMaker jobs.
A company uses a third-party model on Amazon Bedrock to analyze confidential documents. The company is concerned about data privacy.
Which statement describes how Amazon Bedrock protects data privacy?
- A . User inputs and model outputs are anonymized and shared with third-party model providers.
- B . User inputs and model outputs are not shared with any third-party model providers.
- C . User inputs are kept confidential, but model outputs are shared with third-party model providers.
- D . User inputs and model outputs are redacted before the inputs and outputs are shared with third-party model providers.
Which AWS service helps select foundation models (FMs) for generative AI use cases?
- A . Amazon Personalize
- B . Amazon Bedrock
- C . Amazon Q Developer
- D . Amazon Rekognition
An online media streaming company wants to give its customers the ability to perform natural language-based image search and filtering. The company needs a vector database that can help with similarity searches and nearest neighbor queries.
Which AWS service meets these requirements?
- A . Amazon Comprehend
- B . Amazon Personalize
- C . Amazon Polly
- D . Amazon OpenSearch Service
A company wants to learn about generative AI applications in an experimental environment.
Which solution will meet this requirement MOST cost-effectively?
- A . Amazon Q Developer
- B . Amazon SageMaker JumpStart
- C . Amazon Bedrock PartyRock
- D . Amazon Q Business