Download AWS Certified AI Practitioner.AIF-C01.ExamTopics.2025-07-11.154q.vcex

Vendor: Amazon
Exam Code: AIF-C01
Exam Name: AWS Certified AI Practitioner
Date: Jul 11, 2025
File Size: 658 KB
Downloads: 45
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Demo Questions

Question 1
A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?
  1. R-squared score
  2. Accuracy
  3. Root mean squared error (RMSE)
  4. Learning rate
Correct answer: B
Question 2
A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency.
Which SageMaker inference option meets these requirements?
  1. Real-time inference
  2. Serverless inference
  3. Asynchronous inference
  4. Batch transform
Correct answer: C
Question 3
A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible.
Which solution will meet these requirements?
  1. Deploy optimized small language models (SLMs) on edge devices.
  2. Deploy optimized large language models (LLMs) on edge devices.
  3. Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.
  4. Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.
Correct answer: A
Question 4
A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams.
Which SageMaker feature meets these requirements?
  1. Amazon SageMaker Feature Store
  2. Amazon SageMaker Data Wrangler
  3. Amazon SageMaker Clarify
  4. Amazon SageMaker Model Cards
Correct answer: A
Question 5
A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products.
Which methodology should the company use to meet these requirements?
  1. Supervised learning
  2. Unsupervised learning
  3. Reinforcement learning
  4. Reinforcement learning from human feedback (RLHF)
Correct answer: B
Question 6
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?
  1. Multi-modal embedding model
  2. Text embedding model
  3. Multi-modal generation model
  4. Image generation model
Correct answer: A
Question 7
A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source.
Which solution meets these requirements?
  1. Build a speech recognition system.
  2. Create a natural language processing (NLP) named entity recognition system.
  3. Develop an anomaly detection system.
  4. Create a fraud forecasting system.
Correct answer: C
Question 8
A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?
  1. Code for model training
  2. Partial dependence plots (PDPs)
  3. Sample data for training
  4. Model convergence tables
Correct answer: B
Question 9
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?
  1. Build an automatic named entity recognition system.
  2. Create a recommendation engine.
  3. Develop a summarization chatbot.
  4. Develop a multi-language translation system.
Correct answer: C
Question 10
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?
  1. Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.
  2. Set the access permissions for the S3 buckets to allow public access to enable access over the internet.
  3. Use prompt engineering techniques to tell the model to look for information in Amazon S3.
  4. Ensure that the S3 data does not contain sensitive information.
Correct answer: A
Question 11
A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer.
What can Amazon Q Developer do to help the company meet these requirements?
  1. Create software snippets, reference tracking, and open source license tracking.
  2. Run an application without provisioning or managing servers.
  3. Enable voice commands for coding and providing natural language search.
  4. Convert audio files to text documents by using ML models.
Correct answer: A
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