Download AWS Certified AI Practitioner.AIF-C01.ExamTopics.2025-12-17.319q.vcex

Vendor: Amazon
Exam Code: AIF-C01
Exam Name: AWS Certified AI Practitioner
Date: Dec 17, 2025
File Size: 3 MB
Downloads: 4
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Demo Questions

Question 1
A financial company has offices in different countries worldwide. The company requires that all API calls between generative AI applications and foundation models (FM) must not travel across the public internet.
Which AWS service should the company use?
  1. AWS PrivateLink
  2. Amazon Q
  3. Amazon CloudFront
  4. AWS CloudTrail
Correct answer: A
Question 2
Which option is an example of unsupervised learning?
  1. Clustering data points into groups based on their similarity
  2. Training a model to recognize images of animals
  3. Predicting the price of a house based on the house’s features
  4. Generating human-like text based on a given prompt
Correct answer: A
Question 3
A company has developed an ML model to approve or reject loan applications. The model’s decision-making process must be transparent and explainable to comply with regulatory requirements. The company must document the decision-making process for audit purposes.
Which solution will meet these requirements?
  1. Amazon Textract
  2. Amazon SageMaker Model Card
  3. AWS Cloud Formation
  4. Amazon Comprehend
Correct answer: B
Question 4
Select the correct AI term from the following list for each statement. Each AI term should be selected one time.
Correct answer: To work with this question, an Exam Simulator is required.
Question 5
A company wants to identify groups for its customers based on the customers’ demographics and buying patterns.
Which algorithm should the company use to meet this requirement?
  1. K-nearest neighbors (k-NN)
  2. K-means
  3. Decision tree
  4. Support vector machine
Correct answer: B
Question 6
A company needs to apply numerical transformations to a set of images to transpose and rotate the images.
Which solution will meet these requirements in the MOST operationally efficient way?
  1. Create a deep neural network by using the images as input.
  2. Create an AWS Lambda function to perform the transformations.
  3. Use an Amazon Bedrock large language model (LLM) with a high temperature.
  4. Use AWS Glue Data Quality to make corrections to each image.
Correct answer: B
Question 7
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.
Which metric will meet these requirements?
  1. The conversion rate of customers who purchase products after AI assistant interactions.
  2. The number of customer interactions with the AI assistant
  3. Sentiment analysis scores from customer feedback after AI assistant interactions
  4. Natural language understanding accuracy rates
Correct answer: A
Question 8
A company is working on a large language model (LLM) and noticed that the LLM’s outputs are not as diverse as expected.
Which parameter should the company adjust?
  1. Temperature
  2. Batch size
  3. Learning rate
  4. Optimizer type
Correct answer: A
Question 9
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 A1 concept does this scenario present?
  1. Computer vision
  2. Natural language processing (NLP)
  3. Recommendation systems
  4. Fraud detection
Correct answer: B
Question 10
An education company is building a chatbot whose target audience is teenagers. The company is training a custom large language model (LLM). The company wants the chatbot to speak in the target audience's language style by using creative spelling and shortened words.
Which metric will assess the LLM's performance?
  1. F1 score
  2. BERTScore
  3. Recall-Oriented Understudy for Gisting Evaluation (ROUGE)
  4. Bilingual Evaluation Understudy (BLEU) score
Correct answer: B
Question 11
A company wants to create a chatbot that answers questions about human resources policies. The company is using a large language model (LLM) and has a large digital documentation base.
Which technique should the company use to optimize the generated responses?
  1. Use Retrieval Augmented Generation (RAG).
  2. Use few-shot prompting.
  3. Set the temperature to 1.
  4. Decrease the token size.
Correct answer: A
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