100% Free Amazon GDP-C01 Practice Test Questions and Answers 2026

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Total 737 Questions | Updated On: May 22, 2026

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Question 1

A company wants to assess the costs that are associated with using a large language model (LLM) to generate inferences. The company wants to use Amazon Bedrock to build generative AI applications. Which factor will drive the inference costs?

A : Number of tokens consumed

B : Temperature value

C : Amount of data used to train the LLM

D : Total training time

Answer: A

Question 2

What is the difference between a machine learning (ML) algorithm and a machine learning (ML) model?

A : An ML algorithm is used for storing large datasets, whereas an ML model is used for deploying applications

B : An ML algorithm is responsible for the security of the machine learning pipeline, while an ML model manages data preprocessing

C : An ML algorithm is a set of mathematical instructions for solving a specific type of problem, while an ML model is the output of the algorithm after being trained on data

D : An ML algorithm is a pre-trained neural network, while an ML model is the raw data used to train the algorithm

Answer: C

Question 3

A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic. Which AWS service or feature will meet these requirements?

A : AWS PrivateLink

B : Amazon Macie

C : Amazon CloudFront

D : Internet gateway

Answer: A

Question 4

A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone. Which solution meets these requirements?

A : Set a low limit on the number of tokens the FM can produce.

B : Use batch inferencing to process detailed responses.

C : Experiment and refine the prompt until the FM produces the desired responses.

D : Define a higher number for the temperature parameter.

Answer: C

Question 5

A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files. Which solution meets these requirements MOST cost-effectively?

A : Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.

B : Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.

C : Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.

D : Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.

Answer: A

Page: 1 / 148

Total 737 Questions | Updated On: May 22, 2026

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