AIF-C01 Dumps (V18.02) with 365 Exam Questions and Answers – Check AIF-C01 Free Dumps (Part 1, Q1-Q40) Today

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Below are the AIF-C01 free dumps (Part 1, Q1-Q40) of V18.02 for reading:

1. A company wants to develop a large language model (LLM) application by using Amazon Bedrock and customer data that is uploaded to Amazon S3. The company's security policy states that each team can access data for only the team's own customers.

Which solution will meet these requirements?

Create an Amazon Bedrock custom service role for each team that has access to only the team's customer data.

Create a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.

Redact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.

Create one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team's customer folders.

2. 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.

3. A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.

Which capabilities can the company show compliance for? (Select TWO.)

Auto scaling inference endpoints

Threat detection

Data protection

Cost optimization

Loosely coupled microservices

4. A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles.

What is the probability of choosing a green marble from the jar?"

Which solution meets these requirements with the LEAST operational overhead?

Use supervised learning to create a regression model that will predict probability.

Use reinforcement learning to train a model to return the probability.

Use code that will calculate probability by using simple rules and computations.

Use unsupervised learning to create a model that will estimate probability density.

5. A student at a university is copying content from generative AI to write essays.

Which challenge of responsible generative AI does this scenario represent?

Toxicity

Hallucinations

Plagiarism

Privacy

6. A company is building a mobile app for users who have a visual impairment. The app must be able to hear what users say and provide voice responses.

Which solution will meet these requirements?

Use a deep learning neural network to perform speech recognition.

Build ML models to search for patterns in numeric data.

Use generative AI summarization to generate human-like text.

Build custom models for image classification and recognition.

7. A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.

Which solution meets these requirements?

Set a low limit on the number of tokens the FM can produce.

Use batch inferencing to process detailed responses.

Experiment and refine the prompt until the FM produces the desired responses.

Define a higher number for the temperature parameter.

8. An accounting firm wants to implement a large language model (LLM) to automate document processing. The firm must proceed responsibly to avoid potential harms.

What should the firm do when developing and deploying the LLM? (Select TWO.)

Include fairness metrics for model evaluation.

Adjust the temperature parameter of the model.

Modify the training data to mitigate bias.

Avoid overfitting on the training data.

Apply prompt engineering techniques.

9. 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).

10. 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)

11. 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?

Multi-modal embedding model

Text embedding model

Multi-modal generation model

Image generation model

12. 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

13. What does an F1 score measure in the context of foundation model (FM) performance?

Model precision and recall

Model speed in generating responses

Financial cost of operating the model

Energy efficiency of the model's computations

14. 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.

15. A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.

Which solution meets these requirements?

Optimize the model's architecture and hyperparameters to improve the model's overall performance.

Increase the model's complexity by adding more layers to the model's architecture.

Create effective prompts that provide clear instructions and context to guide the model's generation.

Select a large, diverse dataset to pre-train a new generative model.

16. A company needs to train an ML model to classify images of different types of animals. The company has a large dataset of labeled images and will not label more data.

Which type of learning should the company use to train the model?

Supervised learning.

Unsupervised learning.

Reinforcement learning.

Active learning.

17. A company wants to build a lead prioritization application for its employees to contact potential customers. The application must give employees the ability to view and adjust the weights assigned to different variables in the model based on domain knowledge and expertise.

Which ML model type meets these requirements?

Logistic regression model

Deep learning model built on principal components

K-nearest neighbors (k-NN) model

Neural network

18. HOTSPOT

A company wants to create an application to summarize meetings by using meeting audio recordings.

Select and order the correct steps from the following list to create the application. Each step should be selected one time or not at all. (Select and order THREE.)

• Convert meeting audio recordings to meeting text files by using Amazon Polly.

• Convert meeting audio recordings to meeting text files by using Amazon Transcribe.

• Store meeting audio recordings in an Amazon S3 bucket.

• Store meeting audio recordings in an Amazon Elastic Block Store (Amazon EBS) volume.

• Summarize meeting text files by using Amazon Bedrock.

• Summarize meeting text files by using Amazon Lex.

19. In which stage of the generative AI model lifecycle are tests performed to examine the model's accuracy?

Deployment

Data selection

Fine-tuning

Evaluation

20. Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)?

Helps decrease the model's complexity

Improves model performance over time

Decreases the training time requirement

Optimizes model inference time

21. An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort.

Which strategy meets these requirements?

Object detection

Anomaly detection

Named entity recognition

Inpainting

22. 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.

23. A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output.

Which ML algorithm meets these requirements?

Decision trees

Linear regression

Logistic regression

Neural networks

24. A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals.

Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?

User-generated content

Moderation logs

Content moderation guidelines

Benchmark datasets

25. 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 AI concept does this scenario present?

Computer vision

Natural language processing (NLP)

Recommendation systems

Fraud detection

26. A company wants to fine-tune an ML model that is hosted on Amazon Bedrock. The company wants to use its own sensitive data that is stored in private databases in a VPC. The data needs to stay within the company's private network.

Which solution will meet these requirements?

Restrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM) service role.

Restrict access to Amazon Bedrock by using an AWS Identity and Access Management (IAM) resource policy.

Use AWS PrivateLink to connect the VPC and Amazon Bedrock.

Use AWS Key Management Service (AWS KMS) keys to encrypt the data.

27. An airline company wants to build a conversational AI assistant to answer customer questions about flight schedules, booking, and payments. The company wants to use large language models (LLMs) and a knowledge base to create a text-based chatbot interface.

Which solution will meet these requirements with the LEAST development effort?

Train models on Amazon SageMaker Autopilot.

Develop a Retrieval Augmented Generation (RAG) agent by using Amazon Bedrock.

Create a Python application by using Amazon Q Developer.

Fine-tune models on Amazon SageMaker Jumpstart.

28. A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.

Which solution meets these requirements?

Build a conversational chatbot by using Amazon Lex.

Transcribe call recordings by using Amazon Transcribe.

Extract information from call recordings by using Amazon SageMaker Model Monitor.

Create classification labels by using Amazon Comprehend.

29. A company wants to create a new solution by using AWS Glue. The company has minimal programming experience with AWS Glue.

Which AWS service can help the company use AWS Glue?

Amazon Q Developer

AWS Config

Amazon Personalize

Amazon Comprehend

30. A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level.

Which solution will meet these requirements?

Decrease the batch size.

Increase the epochs.

Decrease the epochs.

Increase the temperature parameter.

31. A company has a database of petabytes of unstructured data from internal sources. The company wants to transform this data into a structured format so that its data scientists can perform machine learning (ML) tasks.

Which service will meet these requirements?

Amazon Lex

Amazon Rekognition

Amazon Kinesis Data Streams

AWS Glue

32. 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?

Amazon SageMaker Feature Store

Amazon SageMaker Data Wrangler

Amazon SageMaker Clarify

Amazon SageMaker Model Cards

33. 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.

34. 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

35. A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis.

The company wants to classify the sentiment of text passages as positive or negative.

Which prompt engineering strategy meets these requirements?

Provide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.

Provide a detailed explanation of sentiment analysis and how LLMs work in the prompt.

Provide the new text passage to be classified without any additional context or examples.

Provide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.

36. 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

37. 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

38. A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific language.

Which solution will align the LLM response quality with the company's expectations?

Adjust the prompt.

Choose an LLM of a different size.

Increase the temperature.

Increase the Top K value.

39. A company built an AI-powered resume screening system. The company used a large dataset to train the model. The dataset contained resumes that were not representative of all demographics.

Which core dimension of responsible AI does this scenario present?

Fairness.

Explainability.

Privacy and security.

Transparency.

40. Which functionality does Amazon SageMaker Clarify provide?

Integrates a Retrieval Augmented Generation (RAG) workflow

Monitors the quality of ML models in production

Documents critical details about ML models

Identifies potential bias during data preparation

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