Amazon AIF-C01 Question Answers

Question # 11

A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns.  The company needs to ensure that the generated content aligns with the company's brand voice and messaging  requirements. Which solution meets these requirements? 

A. Optimize the model's architecture and hyperparameters to improve the model's overall performance.
B. Increase the model's complexity by adding more layers to the model's architecture.
C. Create effective prompts that provide clear instructions and context to guide the model's generation.
D. Select a large, diverse dataset to pre-train a new generative model.

Question # 12

A company acquires International Organization for Standardization (ISO) accreditation to manage AI risks  and to use AI responsibly. What does this accreditation certify? 

A. All members of the company are ISO certified.
B. All AI systems that the company uses are ISO certified.
C. All AI application team members are ISO certified.
D. The company’s development framework is ISO certified.

Question # 13

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The  company wants to know how much information can fit into one prompt. Which consideration will inform the company's decision? 

A. Temperature
B. Context window
C. Batch size
D. Model size

Question # 14

A company wants to label training datasets by using human feedback to fine-tune a foundation model (FM).  The company does not want to develop labeling applications or manage a labeling workforce. Which AWS  service or feature meets these requirements? 

A. Amazon SageMaker Data Wrangler
B. Amazon SageMaker Ground Truth Plus
C. Amazon Transcribe
D. Amazon Macie

Question # 15

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.

Question # 16

Which scenario describes a potential risk and limitation of prompt engineering In the context of a generative  AI model? 

A. Prompt engineering does not ensure that the model always produces consistent and deterministic outputs, eliminating the need for validation.
B. Prompt engineering could expose the model to vulnerabilities such as prompt injection attacks.
C. Properly designed prompts reduce but do not eliminate the risk of data poisoning or model hijacking.
D. Prompt engineering does not ensure that the model will consistently generate highly reliable outputs when working with real-world data.

Question # 17

A customer service team is developing an application to analyze customer feedback and automatically classify  the feedback into different categories. The categories include product quality, customer service, and delivery  experience. Which AI concept does this scenario present? 

A. Computer vision
B. Natural language processing (NLP)
C. Recommendation systems
D. Fraud detection

Question # 18

A company has developed an ML model for image classification. The company wants to deploy the model to  production so that a web application can use the model. The company needs to implement a solution to host the model and serve predictions without managing any of  the underlying infrastructure. Which solution will meet these requirements? 

A. Use Amazon SageMaker Serverless Inference to deploy the model.
B. Use Amazon CloudFront to deploy the model.
C. Use Amazon API Gateway to host the model and serve predictions.
D. Use AWS Batch to host the model and serve predictions.

Question # 19

A financial company uses AWS to host its generative AI models. The company must generate reports to show  adherence to international regulations for handling sensitive customer data 

A. Amazon Macie
B. AWS Artifact
C. AWS Secrets Manager
D. AWS Config

Question # 20

A company uses Amazon Bedrock to implement a generative AI assistant on a website. The AI assistant helps  customers with product recommendations and purchasing decisions. The company wants to measure the direct  impact of the AI assistant on sales performance. 

A. The conversion rate of customers who purchase products after AI assistant interactions
B. The number of customer interactions with the AI assistant
C. Sentiment analysis scores from customer feedback after AI assistant interactions
D. Natural language understanding accuracy rates

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