Free Amazon GDP-C01 Exam Questions

Become Amazon Certified with updated GDP-C01 exam questions and correct answers

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Total 737 Questions | Updated On: Jul 27, 2026

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Question 1

Which of the following summarizes the capabilities of a multimodal model?

A : A multimodal model can accept a mix of input types such as audio/text and create a mix of output types such as video/image

B : A multimodal model can accept a mix of input types such as audio/text, however, it can only create a single type of output

C : A multimodal model can accept only a single type of input and it can only create a single type of output

D : A multimodal model can accept only a single type of input, however, it can create a mix of output types such as video/image

Answer: A

Question 2

What type of cloud computing service is Amazon Rekognition?

A : Platform as a Service (PaaS)

B : Infrastructure as a Service (IaaS)

C : Software as a Service (SaaS)

D : Database as a Service (DBaaS)

Answer: C

Question 3

When a generative AI model makes something up that may sound plausible and factual but may not be correct, what is it called?

A : Fairness

B : Controllability

C : Hallucination

D : Explainability

Answer: C

Question 4

A machine learning team at a tech company is developing a generative AI model to automate text generation for customer support. As part of optimizing the model’s performance, the team needs to adjust both model parameters and hyperparameters but wants to clearly understand the distinctions between the two. Understanding these differences is crucial for fine-tuning the model and improving its output.Which of the following highlights the key differences between model parameters and hyperparameters in the context of generative AI?

A : Hyperparameters are values that define a model and its behavior in interpreting input and generating responses. Model parameters are values that can be adjusted for model customization to control the training process

B : Both Hyperparameters and model parameters are values that define a model and its behavior in interpreting input and generating responses

C : Model parameters are values that define a model and its behavior in interpreting input and generating responses. Hyperparameters are values that can be adjusted for model customization to control the training process

D : Both Hyperparameters and model parameters are values that can be adjusted for model customization to control the training process

Answer: C

Question 5

A company uses Amazon SageMaker AI to generate article summaries in multiple languages. The company needs a metric to evaluate the quality of the summary translations in multiple languages. Which evaluation metric will meet these requirements?

A : Recall-Oriented Understudy for Gisting Evaluation (ROUGE)

B : Bilingual evaluation understudy (BLEU)

C : Area Under the ROC Curve (AUC)

D : Precision

Answer: B

Page: 1 / 148

Total 737 Questions | Updated On: Jul 27, 2026

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