Practice Free AIF-C01 Exam Online Questions
A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the company’s brand voice and messaging requirements.
Which solution meets these requirements?
- A . Optimize the model’s architecture and hyperparameters to improve the model’s overall performance.
- B . Increase the model’s complexity by adding more layers to the model’s architecture.
- C . Create effective prompts that provide clear instructions and context to guide the model’s generation.
- D . Select a large, diverse dataset to pre-train a new generative model.
A company is comparing two foundation models (FMs) for a customer service AI assistant. The company wants to evaluate the FMs based on helpfulness, correctness, and tone. The company needs an evaluation technique that is automated, repeatable, and does not require human reviewers.
Which evaluation technique will meet these requirements?
- A . String matching
- B . Recall-Oriented Understudy for Gisting Evaluation (ROUGE)
- C . LLM-as-a-judge
- D . Retrieval Augmented Generation (RAG)
A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company’s private data sources.
Which solution will meet this requirement?
- A . Use a different FM
- B . Choose a lower temperature value
- C . Create an Amazon Bedrock knowledge base
- D . Enable model invocation logging
What is an example of structured data?
- A . A file of text comments from an online forum
- B . A compilation of video files that contains news broadcasts
- C . A CSV file that consists of measurement data
- D . Transcribed conversations between call center agents and customers
An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.
Which technique will solve the problem?
- A . Data augmentation for imbalanced classes
- B . Model monitoring for class distribution
- C . Retrieval Augmented Generation (RAG)
- D . Watermark detection for images
A company wants to develop an Al application to help its employees check open customer claims, identify details for a specific claim, and access documents for a claim.
Which solution meets these requirements?
- A . Use Agents for Amazon Bedrock with Amazon Fraud Detector to build the application.
- B . Use Agents for Amazon Bedrock with Amazon Bedrock knowledge bases to build the application.
- C . Use Amazon Personalize with Amazon Bedrock knowledge bases to build the application.
- D . Use Amazon SageMaker AI to build the application by training a new ML model.
A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company’s data.
Which strategy will successfully fine-tune the model?
- A . Provide labeled data with the prompt field and the completion field.
- B . Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
- C . Purchase Provisioned Throughput for Amazon Bedrock.
- D . Train the model on journals and textbooks.
A company wants to set up private access to Amazon Bedrock APIs from the company’s AWS account.
The company also wants to protect its data from internet exposure.
- A . Use Amazon CloudFront to restrict access to the company’s private content
- B . Use AWS Glue to set up data encryption across the company’s data catalog
- C . Use AWS Lake Formation to manage centralized data governance and cross-account data sharing
- D . Use AWS PrivateLink to configure a private connection between the company’s VPC and Amazon Bedrock
A company needs to share a dataset with a third-party provider. The provider will use the dataset to create an ML model. Some fields in the dataset contain personally identifiable information (PII). The company needs a solution to share this dataset without exposing PII.
Which solution will meet these requirements?
- A . Apply data masking to all fields in the dataset.
- B . Apply data masking to the fields that contain PII in the dataset.
- C . Apply data encryption to all fields in the dataset.
- D . Apply data labeling to the fields that contain PII in the dataset.
An AI practitioner is writing software code. The AI practitioner wants to quickly develop a test case and create documentation for the code.
- A . Upload the code to an online coding assistant.
- B . Develop an application to use foundation models (FMs).
- C . Use Amazon Q Developer in an integrated development environment (IDE).
- D . Research and write test cases. Then, create test cases and add documentation.