Amazon AIF-C01 AWS Certified AI Practitioner Online Training
Amazon AIF-C01 Online Training
The questions for AIF-C01 were last updated at Feb 22,2025.
- Exam Code: AIF-C01
- Exam Name: AWS Certified AI Practitioner
- Certification Provider: Amazon
- Latest update: Feb 22,2025
A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.
Which solution will meet these requirements?
- A . Configure the security and compliance by using Amazon Inspector.
- B . Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.
- C . Encrypt and secure training data by using Amazon Macie.
- D . Gather more data. Use Amazon Rekognition to add custom labels to the data.
A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.
Which solution will meet these requirements?
- A . Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
- B . Data augmentation by using an Amazon Bedrock knowledge base
- C . Image recognition by using Amazon Rekognition
- D . Data summarization by using Amazon QuickSight
A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.
Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?
- A . AWS Audit Manager
- B . AWS CloudTrail
- C . Amazon Fraud Detector
- D . AWS Trusted Advisor
A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company’s review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing.
Which AWS service meets this requirement?
- A . Amazon Textract
- B . Amazon Personalize
- C . Amazon Lex
- D . Amazon Transcribe
A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company’s product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?
- A . Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.
- B . Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
- C . Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
- D . Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.
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 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
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?
- A . Create software snippets, reference tracking, and open-source license tracking.
- B . Run an application without provisioning or managing servers.
- C . Enable voice commands for coding and providing natural language search.
- D . Convert audio files to text documents by using ML models.
A company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment.
Which Amazon Bedrock pricing model meets these requirements?
- A . On-Demand
- B . Model customization
- C . Provisioned Throughput
- D . Spot Instance
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.
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