AIF-C01 AWS Certified AI Practitioner Exam Free Dumps

dumps2024-09-06T11:58:37+08:00

The AIF-C01 exam is one for AWS Certified AI Practitioner certification. The AIF-C01 exam is for individuals familiar with, but do not necessarily build, solutions using AI/ML technologies on AWS. There are 85 questions in the real AWS Certified AIF-C01 exam, and you have 120 minutes to finish the test. The exam cost is $75. The available languages are English and Japanese. The standard version of this AIF-C01 exam will also be available in Korean, Portuguese (Brazil), and Simplified Chinese in late 2024. We provide the latest AWS Certified AI Practitioner AIF-C01 exam dumps, which can make sure you pass. Free AWS Certified AI Practitioner AIF-C01 exam dumps are available below.

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1. 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?

Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.

Mask the confidential data in the inference responses by using dynamic data masking.

Encrypt the confidential data in the inference responses by using Amazon SageMaker.

Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).

2. Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?

Integration with Amazon S3 for object storage

Support for geospatial indexing and queries

Scalable index management and nearest neighbor search capability

Ability to perform real-time analysis on streaming data

3. 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?

Amazon Q in Amazon EC2

Amazon Q Developer

Amazon Q in Amazon QuickSight

Amazon Q in AWS Chatbot

4. A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children.

Which AWS service or feature will meet these requirements?

Amazon Rekognition

Amazon Bedrock playgrounds

Guardrails for Amazon Bedrock

Agents for Amazon Bedrock

5. 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?

Use Amazon SageMaker Serverless Inference to deploy the model.

Use Amazon CloudFront to deploy the model.

Use Amazon API Gateway to host the model and serve predictions.

Use AWS Batch to host the model and serve predictions.

6. 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?

Supervised learning

Unsupervised learning

Reinforcement learning

Reinforcement learning from human feedback (RLHF)

7. 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?

Code for model training

Partial dependence plots (PDPs)

Sample data for training

Model convergence tables

8. Which option is a use case for generative AI models?

Improving network security by using intrusion detection systems

Creating photorealistic images from text descriptions for digital marketing

Enhancing database performance by using optimized indexing

Analyzing financial data to forecast stock market trends

9. 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?

Data leakage

Hallucination

Overfitting

Underfitting

10. A loan company is building a generative AI-based solution to offer new applicants discounts based on specific business criteria. The company wants to build and use an AI model responsibly to minimize bias that could negatively affect some customers.

Which actions should the company take to meet these requirements? (Select TWO.)

Detect imbalances or disparities in the data.

Ensure that the model runs frequently.

Evaluate the model's behavior so that the company can provide transparency to stakeholders.

Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate.

Ensure that the model's inference time is within the accepted limits.

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11. 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?

Configure the security and compliance by using Amazon Inspector.

Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.

Encrypt and secure training data by using Amazon Macie.

Gather more data. Use Amazon Rekognition to add custom labels to the data.

12. 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?

Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus

Data augmentation by using an Amazon Bedrock knowledge base

Image recognition by using Amazon Rekognition

Data summarization by using Amazon QuickSight

13. 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?

AWS Audit Manager

AWS CloudTrail

Amazon Fraud Detector

AWS Trusted Advisor

14. 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?

Amazon Textract

Amazon Personalize

Amazon Lex

Amazon Transcribe

15. 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?

Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.

Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.

Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.

Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.

16. 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?

Embeddings

Tokens

Models

Binaries

17. 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?

Generative adversarial network (GAN)

XGBoost

Residual neural network

WaveNet

18. 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?

Create software snippets, reference tracking, and open-source license tracking.

Run an application without provisioning or managing servers.

Enable voice commands for coding and providing natural language search.

Convert audio files to text documents by using ML models.

19. 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?

On-Demand

Model customization

Provisioned Throughput

Spot Instance

20. 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?

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.

Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.

Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.

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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21. What are tokens in the context of generative AI models?

Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.

Tokens are the mathematical representations of words or concepts used in generative AI models.

Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.

Tokens are the specific prompts or instructions given to a generative AI model to generate output.

22. An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data.

Which strategy should the AI practitioner use?

Configure AWS CloudTrail as the logs destination for the model.

Enable invocation logging in Amazon Bedrock.

Configure AWS Audit Manager as the logs destination for the model.

Configure model invocation logging in Amazon EventBridge.

23. A company needs to build its own large language model (LLM) based on only the company's private data. The company is concerned about the environmental effect of the training process.

Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?

Amazon EC2 C series

Amazon EC2 G series

Amazon EC2 P series

Amazon EC2 Trn series

24. A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.

Which AWS service or feature will meet these requirements?

AWS PrivateLink

Amazon Macie

Amazon CloudFront

Internet gateway

25. 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?

Training

Inference

Model deployment

Bias correction

26. A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to manage the flow of data from Amazon S3 to SageMaker Studio notebooks.

Which solution will meet this requirement?

Use Amazon Inspector to monitor SageMaker Studio.

Use Amazon Macie to monitor SageMaker Studio.

Configure SageMaker to use a VPC with an S3 endpoint.

Configure SageMaker to use S3 Glacier Deep Archive.

27. 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?

Increase the number of epochs.

Use transfer learning.

Decrease the number of epochs.

Use unsupervised learning.

AIF-C01 AWS Certified AI Practitioner Exam Free Dumps

AIF-C01 AWS Certified AI Practitioner Exam Free Dumps

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