AIF-C01 Exam Prep: Your Gateway to Success
Unlock Your Potential with Amazon AIF-C01 Certification
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Why Choose the AIF-C01 Exam?
The Amazon AIF-C01 exam, also known as the AWS Certified Machine Learning - Specialty exam, is designed for professionals seeking to validate their expertise in designing, implementing, and maintaining machine learning (ML) solutions on the AWS platform. This certification is ideal for those who want to demonstrate their skills in advanced ML concepts and AWS technologies.
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Question 1
A company is building a customer service chatbot. The company wants the chatbot to improve its responses by learning from past interactions and online resources. Which AI learning strategy provides this self-improvement capability?
A. Supervised learning with a manually curated dataset of good responses and bad responses
B. Reinforcement learning with rewards for positive customer feedback
C. Unsupervised learning to find clusters of similar customer inquiries
D. Supervised learning with a continuously updated FAQ database
Answer: B
Question 2
How can companies use large language models (LLMs) securely on Amazon Bedrock?
A. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.
B. Enable AWS Audit Manager for automatic model evaluation jobs.
C. Enable Amazon Bedrock automatic model evaluation jobs.
D. Use Amazon CloudWatch Logs to make models explainable and to monitor for bias.
Answer: A
Question 3
A company has built a solution by using generative AI. The solution uses large language models (LLMs) to translate training manuals from English into other languages. The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals. Which model evaluation strategy meets these requirements?
A. Bilingual Evaluation Understudy (BLEU)
B. Root mean squared error (RMSE)
C. Recall-Oriented Understudy for Gisting Evaluation (ROUGE)
D. F1 score
Answer: A
Question 4
A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality. Which action must the company take to use the custom model through Amazon Bedrock?
A. Purchase Provisioned Throughput for the custom model.
B. Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.
C. Register the model with the Amazon SageMaker Model Registry.
D. Grant access to the custom model in Amazon Bedrock.
Answer: B
Question 5
An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images. Which type of FM should the AI practitioner use to power the search application?
A. Multi-modal embedding model
B. Text embedding model
C. Multi-modal generation model
D. Image generation model
Answer: A
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Amazon AIF-C01 Exam Sample Questions