AWS Certified AI Practitioner AIF-C01 Practice Test

AWS Certified AI Practitioner AIF-C01 Practice Test practice questions, page 5 of 20, with answer review and explanations.

Question 21

A company makes electronic record software. Users sometimes enter incomplete sentences in the records. The company wants to use ML to automatically complete the sentences. Which solution meets these requirements?

  1. Use a large language model (LLM) trained on data from the records.
  2. Use a computer vision model trained on images and related metadata.
  3. Use a k-nearest neighbors (k-NN) algorithm to classify input terms.
  4. Use reinforcement learning with input data to produce full sentences.

Question 22

A company wants to ensure that its Retrieval Augmented Generation (RAG) system retrieves all relevant documents for user queries without missing important information. Which metric should the company track?

  1. Faithfulness
  2. Recall
  3. Mean reciprocal rank
  4. Precision

Question 23

A company builds applications on AWS. The company wants to use a foundation model (FM) to improve developer productivity by reducing the amount of time to write application code. Which solution will meet these requirements?

  1. Use Amazon Q Developer to generate real-time inline code suggestions.
  2. Create an Amazon Bedrock knowledge base to generate real-time inline code suggestions.
  3. Use Amazon CodeGuru to generate real-time inline code suggestions.
  4. Use Amazon Personalize to generate real-time in line code suggestions.

Question 24

A company is developing its first generative AI (GenAI) application and wants to put a responsible AI policy in place before going to production. The company is concerned with explainability and transparency with model selections tor the application. Which techniques or tools address these issues? (Choose two.)

  1. Model evaluation
  2. Guardrails
  3. AI model service cards
  4. Data encryption
  5. Automated reasoning

Question 25

A company wants use a large language model (LLM) in the company's internal AI assistant. The company wants to customize the LLM by using medical papers to familiarize the LLM with medical topics. Which technique will meet these requirements?

  1. Continuous pre-training
  2. Supervised learning
  3. Reinforcement learning
  4. Boosting