AIF-C01 practice questions 311–320

1. Question 311 · 417 in bank

   What is the primary purpose of system prompts in generative AI applications?

   • ATo authenticate user credentials to access responses from AI
   • BTo generate random responses by AI
   • CTo define the role and behavioral boundaries of AI
   • DTo compress output data from AI

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   Answer: C

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2. Question 312 · 417 in bank

   A company is using a large language model (LLM) to create a generative AI assistant. The company must choose an AI technique to ensure that the AI assistant generates the most factually correct responses. The company selects the Retrieval Augmented Generation (RAG) technique. Which limitation of LLMs is the company trying to reduce?

   • AHallucinations
   • BSecurity
   • CNondeterminism
   • DInterpretability

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   Answer: A

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3. Question 313 · 417 in bank

   A company is building a job recommendation system based on job posting data and job seeker user profiles. The system shows bias in job recommendations based on gender for user profiles that are otherwise equivalent. Which principle should the company follow to address this issue, according to AWS best practices for responsible AI?

   • AGovernance
   • BExplainability
   • CControllability
   • DFairness

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   Answer: D

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4. Question 314 · 417 in bank

   Select 2

   A company wants its AI models to be transparent and explainable. Which combination of Amazon SageMaker AI features will meet these requirements? (Choose two.)

   • ASageMaker Model Cards
   • BSageMaker Pipelines
   • CSageMaker Clarity
   • DSageMaker Model Monitor
   • ESageMaker Debugger

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   Answer: AC

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5. Question 315 · 417 in bank

   A company is developing a product recommendation application by using a generative AI model. The company must minimize the application’s environmental impact. Which solution will meet these requirements?

   • AOptimize the deployed model architecture to prioritize computational efficiency during model inference.
   • BAdopt a distributed inference approach by using multiple smaller models across multiple Availability Zones.
   • CAdopt a hybrid strategy by deploying the model on premises and storing the data on AWS.
   • DDeploy multiple models and use a dynamic model selection mechanism that queries different models randomly.

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   Answer: A

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6. Question 316 · 417 in bank

   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?

   • ARecall-Oriented Understudy for Gisting Evaluation (ROUGE)
   • BBilingual evaluation understudy (BLEU)
   • CArea Under the ROC Curve (AUC)
   • DPrecision

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   Answer: B

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7. Question 317 · 417 in bank

   A research company is growing microbiological cultures. The company captures images of the cultures without any prior labeled data about growth areas. The company needs to identify the regions of the images that show culture growth. Which ML technique will meet these requirements?

   • ALogistic regression
   • BDecision tree
   • CClustering
   • DDimensionality reduction

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   Answer: C

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8. Question 318 · 417 in bank

   A company that streams media is selecting an Amazon Nova foundation model (FM) to process documents and images. The company is comparing Nova Micro and Nova Lite. The company wants to minimize costs. Which model characteristics should the company consider to meet these requirements?

   • ANova Micro uses transformer-based architectures. Nova Lite does not use transformer-based architectures.
   • BNova Micro supports only text data. Nova Lite is optimized for numerical data.
   • CNova Micro supports only text. Nova Lite supports images, videos, and text.
   • DNova Micro runs only on CPUs. Nova Lite runs only on GPUs.

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   Answer: C

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9. Question 319 · 417 in bank

   A company stores customer data in OpenSearch. The company wants an AI solution to retrieve specific customer information from the stored data. The AI solution must convert queries into data requests and generate CSV files from the results. Then, the AI solution must upload the CSV files to Amazon S3. Which solution will meet these requirements in the MOST operationally-efficient way?

   • ACreate an AI agent to perform the required steps.
   • BUse a single foundation model (FM) with few-shot prompting.
   • CCreate a software application without using AI to perform the required steps.
   • DTrain a decision tree model to generate a solution based on user questions.

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   Answer: A

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10. Question 320 · 417 in bank

    Which foundation model (FM) in Amazon Bedrock can be fine-tuned for text, image, and video comprehension?

    • AAmazon Nova Pro
    • BAmazon Titan Multimodal Embeddings G1
    • CAmazon Titan Text G1 - Express
    • DAmazon Nova Micro

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    Answer: A

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AIF-C01 practice, question 311. 417 questions available.