AWS Certified AI Practitioner (AIF-C01)

The AWS Certified AI Practitioner (AIF-C01) were last updated on today.

Viewing page 1 out of 24 pages.
Viewing questions 1-5 out of 120 questions

Disclaimers:

- ExamTopics website is not related to, affiliated with, endorsed or authorized by Amazon.and Azure
- Trademarks, certification & product names are used for reference only and belong to Amazon.and Azure

Topic 1 - Exam A

Question #1 Topic 1

A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents. Which solution meets these requirements?

A Build an automatic named entity recognition system.
B Create a recommendation engine.
C Develop a summarization chatbot.
D Develop a multi-language translation system.

Suggested Answer: C
NOTE: The question is asking for a solution that meets the requirement of an AI application that reads legal documents and extracts key points from them. Among the options, developing a summarization chatbot (Option C) is the most appropriate choice as it can summarize and extract key points from legal documents.

Question #2 Topic 1

A bank has fine-tuned a large language model (LLM) to expedite the loan approval process. During an external audit of the model, the company discovered that the model was approving loans at a faster pace for a specific demographic than for other demographics. How should the bank fix this issue MOST cost-effectively?

A Include more diverse training data. Fine-tune the model again by using the new data.
B Use Retrieval Augmented Generation (RAG) with the fine-tuned model.
C Use AWS Trusted Advisor checks to eliminate bias.
D Pre-train a new LLM with more diverse training data.

Suggested Answer: A
NOTE: 选择答案A是因为通过增加更多的多样化训练数据并重新微调模型，可以更有效地解决模型在特定人群中表现不同的问题。这比其他选项更直接和经济。

Question #3 Topic 1

Which technique can a company use to lower bias and toxicity in generative AI applications during the post-processing ML lifecycle?

A Human-in-the-loop
B Data augmentation
C Feature engineering
D Adversarial training

Suggested Answer: A
NOTE: The question asks about a technique to lower bias and toxicity in generative AI applications during the post-processing ML lifecycle. 'Human-in-the-loop' (Option A) is a method where humans are involved in the process to ensure that the AI system's output is reviewed and adjusted, which can help in reducing bias and toxicity.

Question #4 Topic 1

A company wants to create an ML model to predict customer satisfaction. The company needs fully automated model tuning. Which AWS service meets these requirements?

A Amazon Personalize
B Amazon SageMaker
C Amazon Athena
D Amazon Comprehend

Suggested Answer: B
NOTE: Amazon SageMaker provides tools and services for building, training, and deploying machine learning models. It includes features for fully automated model tuning through AutoML, which meets the requirement stated in the question.

Question #5 Topic 1

A manufacturing company uses AI to inspect products and find any damages or defects. Which type of AI application is the company using?

A Recommendation system
B Natural language processing (NLP)
C Computer vision
D Image processing

Suggested Answer: C
NOTE: The company is using AI to inspect products and find any damages or defects. This task involves recognizing visual patterns and anomalies, which is best achieved through Computer Vision.