[2026] EMC Dell GenAI Foundations Achievement - D-GAI-F-01 무료 시험 문제

문제1

A team is looking to improve an LLM based on user feedback.
Which method should they use?

A. Transfer Learning

B. Self-supervised Learning

C. Reinforcement Learning through Human Feedback (RLHF)

D. Adversarial Training

정답: C

설명: (Fast2test 회원만 볼 수 있음)

문제2

A team of researchers is developing a neural network where one part of the network compresses input data.
What is this part of the network called?

A. Encoder

B. Generator

C. Discerner of real from fake data

D. Creator of random noise

정답: A

설명: (Fast2test 회원만 볼 수 있음)

문제3

Why is diversity important in Al training data?

A. To increase the model's speed of computation

B. To make Al models cheaper to develop

C. To ensure the model can generalize across different scenarios

D. To reduce the storage requirements for data

정답: C

설명: (Fast2test 회원만 볼 수 있음)

문제4

What are the three broad steps in the lifecycle of Al for Large Language Models?

A. Preprocessing, Training, and Postprocessing

B. Initialization, Training, and Deployment

C. Data Collection, Model Building, and Evaluation

D. Training, Customization, and Inferencing

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제5

A team is analyzing the performance of their Al models and noticed that the models are reinforcing existing flawed ideas.
What type of bias is this?

A. Linguistic Bias

B. Data Bias

C. Confirmation Bias

D. Systemic Bias

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제6

In a Generative Adversarial Network (GAN), you have a network that evaluates whether the data generated by the other network is real or fake. What is this evaluating network called?

A. Encoder

B. Generator

C. Discriminator

D. Decoder

정답: C

설명: (Fast2test 회원만 볼 수 있음)

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