AIF-C01 practice questions 391–400

1. Question 391 · 417 in bank

   A company has fine-tuned an Amazon Bedrock foundation model (FM) to produce short document summaries. The company wants an automated metric that compares each model-generated summary with its human-written reference summary. Which metric will meet these requirements?

   • AF1 score
   • BRecall-Oriented Understudy for Gisting Evaluation (ROUGE)
   • CPerplexity
   • DFréchet inception distance (FID)

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   Answer: B

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2. Question 392 · 417 in bank

   A company has created an AI assistant to provide relevant information to employees about internal processes. The AI assistant uses a fine-tuned foundation model (FM). The company wants to use feedback from employees to further refine the model's responses. Which solution will meet these requirements?

   • AImplement model distillation.
   • BPerform continued pre-training and incorporate feedback from employee ratings.
   • CUse reinforcement learning from human feedback (RLHF).
   • DEnable intelligent prompt routing.

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   Answer: C

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3. Question 393 · 417 in bank

   Which AWS service provides a broad range of high-performing generative AI foundation models (FMs)?

   • AAmazon Bedrock
   • BAmazon Rekognition
   • CAmazon Lex
   • DAmazon Kendra

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   Answer: A

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4. Question 394 · 417 in bank

   Select 2

   A company is preparing data to fine-tune a large language model (LLM). The company must follow the principles of responsible AI. Which actions will meet this requirement? (Choose two.)

   • AInclude demographically diverse data sources to improve model fairness.
   • BApply consistent labeling standards across the training dataset.
   • CFocus exclusively on high-volume data regardless of quality.
   • DUse only synthetic data to train the model.
   • EUse fewer labels to reduce ambiguity in data during model training.

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   Answer: AB

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5. Question 395 · 417 in bank

   Which benefit does a company gain by using ongoing pre-training to fine-tune a foundation model (FM)?

   • ADecreased model complexity
   • BImproved model performance over time
   • CDecreased time required to train the model
   • DReduced model training cost

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   Answer: B

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6. Question 396 · 417 in bank

   A software development company wants to increase its speed to market delivery. The company needs a solution that helps developers generate real-time code and unit tests. Which AWS service meets these requirements?

   • AAmazon Personalize
   • BAmazon Q Developer
   • CAmazon Comprehend
   • DAmazon Kendra

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   Answer: B

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7. Question 397 · 417 in bank

   A company plans to use a dataset to train a new AI model. The company needs to determine whether a bias against a specific user group exists in the dataset before the company trains the model. Which solution will meet these requirement?

   • AUse Amazon SageMaker Clarify to compute pre-training bias metrics.
   • BUse Amazon SageMaker Model Cards to compute pre-training bias metrics.
   • CUse Amazon SageMaker Clarify to compute post-training bias metrics.
   • DUse Amazon SageMaker Model Cards to compute post-training bias metrics.

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   Answer: A

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8. Question 398 · 417 in bank

   An AI practitioner wants to use Retrieval Augmented Generation (RAG) architecture. However, company leadership thinks RAG will make the architecture too complex. Which response will support the AI practitioner's recommendation to use RAG?

   • ARAG improves large language model (LLM) inference time.
   • BRAG improves model training speed.
   • CRAG decreases hallucinations.
   • DRAG decreases development controls.

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   Answer: C

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9. Question 399 · 417 in bank

   A company built a Retrieval Augmented Generation (RAG) based AI assistant by using Amazon Bedrock Agents. Sometimes the AI assistant gives incomplete or inaccurate answers. The company wants to improve and evaluate the AI assistant's performance. Which solution will meet these requirements?

   • AUse automated metrics such as Bilingual Evaluation Understudy (BLEU) scores to measure response similarity to reference answers.
   • BMonitor response latency and token generation speed to optimize performance.
   • CEvaluate only the final answer quality against ground truth responses.
   • DConfirm that the retrieved documents are relevant and that the final answers are accurate.

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   Answer: D

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10. Question 400 · 417 in bank

    A company wants to develop an AI solution to automatically extract structured and unstructured data from scanned PDF documents and forms. Which AWS service will meet these requirements?

    • AAmazon Polly
    • BAmazon Lex
    • CAmazon Personalize
    • DAmazon Textract

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    Answer: D

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AIF-C01 practice, question 391. 417 questions available.