Amazon AIF-C01 Practice Exams
Last updated on Apr 07,2025- Exam Code: AIF-C01
- Exam Name: AWS Certified AI Practitioner
- Certification Provider: Amazon
- Latest update: Apr 07,2025
A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.
Which ML strategy meets these requirements?
- A . Increase the number of epochs.
- B . Use transfer learning.
- C . Decrease the number of epochs.
- D . Use unsupervised learning.
An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.
How should the AI practitioner prevent responses based on confidential data?
- A . Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
- B . Mask the confidential data in the inference responses by using dynamic data masking.
- C . Encrypt the confidential data in the inference responses by using Amazon SageMaker.
- D . Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).
A company built a deep learning model for object detection and deployed the model to production.
Which AI process occurs when the model analyzes a new image to identify objects?
- A . Training
- B . Inference
- C . Model deployment
- D . Bias correction
A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months.
Which AWS solution should the company use to automate the generation of graphs?
- A . Amazon Q in Amazon EC2
- B . Amazon Q Developer
- C . Amazon Q in Amazon QuickSight
- D . Amazon Q in AWS Chatbot
A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.
Which solution will meet these requirements?
- A . Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
- B . Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
- C . Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
- D . Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual information?
- A . Embeddings
- B . Tokens
- C . Models
- D . Binaries
A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3).
The FM encounters a failure when attempting to access the S3 bucket data.
Which solution will meet these requirements?
- A . Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.
- B . Set the access permissions for the S3 buckets to allow public access to enable access over the internet.
- C . Use prompt engineering techniques to tell the model to look for information in Amazon S3.
- D . Ensure that the S3 data does not contain sensitive information.
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.
An AI practitioner is using a large language model (LLM) to create content for marketing campaigns.
The generated content sounds plausible and factual but is incorrect.
Which problem is the LLM having?
- A . Data leakage
- B . Hallucination
- C . Overfitting
- D . Underfitting
A company is building an application that needs to generate synthetic data that is based on existing data.
Which type of model can the company use to meet this requirement?
- A . Generative adversarial network (GAN)
- B . XGBoost
- C . Residual neural network
- D . WaveNet