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Latest AIF-C01 Exam Practice Questions

The practice questions for AIF-C01 exam was last updated on 2025-06-01 .

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Question#1

A company built a deep learning model for object detection and deployed the model to production.
Which AI process occurs when the model analyzes a new image to identify objects?

A. Training

B. Inference

C. Model deployment

D. Bias correction

Question#2

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

Question#3

A research company implemented a chatbot by using a foundation model (FM) from Amazon Bedrock. The chatbot searches for answers to questions from a large database of research papers. After multiple prompt engineering attempts, the company notices that the FM is performing poorly because of the complex scientific terms in the research papers.
How can the company improve the performance of the chatbot?

A. Use few-shot prompting to define how the FM can answer the questions.

B. Use domain adaptation fine-tuning to adapt the FM to complex scientific terms.

C. Change the FM inference parameters.

D. Clean the research paper data to remove complex scientific terms.

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?

A. Real-time inference

B. Serverless inference

C. Asynchronous inference

D. Batch transform

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?

A. Generation of custom foundation models (FMs) to predict customer needs

B. Automation of repetitive tasks and orchestration of complex workflows

C. Automatically calling multiple foundation models (FMs) and consolidating the results

D. Selecting the foundation model (FM) based on predefined criteria and metrics

Exam Code: AIF-C01Q & A: 98 Q&AsUpdated: 2025-06-01

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