Practice Free AIF-C01 Exam Online Questions
A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles.
What is the probability of choosing a green marble from the jar?"
Which solution meets these requirements with the LEAST operational overhead?
- A . Use supervised learning to create a regression model that will predict probability.
- B . Use reinforcement learning to train a model to return the probability.
- C . Use code that will calculate probability by using simple rules and computations.
- D . Use unsupervised learning to create a model that will estimate probability density.
A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.
Which solution meets these requirements?
- A . Build an automatic named entity recognition system.
- B . Create a recommendation engine.
- C . Develop a summarization chatbot.
- D . Develop a multi-language translation system.
Which type of AI model makes numeric predictions?
- A . Diffusion
- B . Regression
- C . Transformer
- D . Multi-modal
An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data.
Which strategy should the AI practitioner use?
- A . Configure AWS CloudTrail as the logs destination for the model.
- B . Enable invocation logging in Amazon Bedrock.
- C . Configure AWS Audit Manager as the logs destination for the model.
- D . Configure model invocation logging in Amazon EventBridge.
An AI practitioner must fine-tune an open source large language model (LLM) for text categorization.
The dataset is already prepared.
Which solution will meet these requirements with the LEAST operational effort?
- A . Create a custom model training job in PartyRock on Amazon Bedrock.
- B . Use Amazon SageMaker JumpStart to create a training job.
- C . Use a custom script to run an Amazon SageMaker AI model training job.
- D . Create a Jupyter notebook on an Amazon EC2 instance. Use the notebook to train the model.
A software company wants to use a large language model (LLM) for workflow automation. The application will transform user messages into JSON files. The company will use the JSON files as inputs for data pipelines.
The company has a labeled dataset that contains user messages and output JSON files.
Which solution will train the LLM for workflow automation?
- A . Unsupervised learning
- B . Continued pre-training
- C . Fine-tuning
- D . Reinforcement learning from human feedback (RLHF)
A company wants to use generative AI 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 . Create software snippets, reference tracking, and open-source license tracking.
- B . Run an application without provisioning or managing servers.
- C . Enable voice commands for coding and providing natural language search.
- D . Convert audio files to text documents by using ML models.
HOTSPOT
A company has developed a large language model (LLM) and wants to make the LLM available to multiple internal teams. The company needs to select the appropriate inference mode for each team.
Select the correct inference mode from the following list for each use case. Each inference mode should be selected one or more times. (Select THREE.)
* Batch transform
* Real-time inference
A company wants to control employee access to publicly available foundation models (FMs).
Which solution meets these requirements?
- A . Analyze cost and usage reports in AWS Cost Explorer.
- B . Download AWS security and compliance documents from AWS Artifact.
- C . Configure Amazon SageMaker JumpStart to restrict discoverable FMs.
- D . Build a hybrid search solution by using Amazon OpenSearch Service.
A company that uses multiple ML models wants to identify changes in original model quality so that the company can resolve any issues.
Which AWS service or feature meets these requirements?
- A . Amazon SageMaker JumpStart
- B . Amazon SageMaker HyperPod
- C . Amazon SageMaker Data Wrangler
- D . Amazon SageMaker Model Monitor