Amazon AIF-C01 Exam Questions Simulate Actual AIF-C01 Exam

AIF-C01 exam dumps questions are designed to simulate the actual exam. This means that you will get a feel for the types of questions you can expect to see on the exam, as well as the format and difficulty level. In addition, AWS Certified AI Practitioner AIF-C01 dumps are often accompanied by detailed explanations and answers. This means that if you get a question wrong, you can learn from your mistake and understand why the correct answer is the right one. Test free online AIF-C01 exam dumps below.

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1. A company has documents that are missing some words because of a database error. The company wants to build an ML model that can suggest potential words to fill in the missing text.

Which type of model meets this requirement?

Topic modeling

Clustering models

Prescriptive ML models

BERT-based models

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2. A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot learning to improve intent detection accuracy.

Which additional data does the company need to meet these requirements?

Pairs of chatbot responses and correct user intents

Pairs of user messages and correct chatbot responses

Pairs of user messages and correct user intents

Pairs of user intents and correct chatbot responses

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3. 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

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4. 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

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5. A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur.

Which solution meets these requirements?

Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.

Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.

Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.

Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.

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6. An AI company periodically evaluates its systems and processes with the help of independent software vendors (ISVs). The company needs to receive email message notifications when an ISV's compliance reports become available.

Which AWS service can the company use to meet this requirement?

AWS Audit Manager

AWS Artifact

AWS Trusted Advisor

AWS Data Exchange

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7. An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance.

Which metric will help the AI practitioner evaluate the performance of the model?

Confusion matrix

Correlation matrix

R2 score

Mean squared error (MSE)

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8. 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.

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9. A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that employees provide. The employees have minimal experience with technology.

Which solution meets these requirements?

Generative pre-trained transformers (GPT)

Residual neural network

Support vector machine

WaveNet

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10. 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

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11. 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

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12. 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?

Build a speech recognition system.

Create a natural language processing (NLP) named entity recognition system.

Develop an anomaly detection system.

Create a fraud forecasting system.

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13. 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?

Build an automatic named entity recognition system.

Create a recommendation engine.

Develop a summarization chatbot.

Develop a multi-language translation system.

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14. 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.

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15. A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information.

Which action will reduce these risks?

Create a prompt template that teaches the LLM to detect attack patterns.

Increase the temperature parameter on invocation requests to the LL

Avoid using LLMs that are not listed in Amazon SageMaker.

Decrease the number of input tokens on invocations of the LL

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16. 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

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17. 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

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18. 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.

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19. 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).

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

The company wants to know how much information can fit into one prompt.

Which consideration will inform the company's decision?

Temperature

Context window

Batch size

Model size

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21. 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

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22. Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?

Amazon Personalize

Amazon SageMaker JumpStart

PartyRock, an Amazon Bedrock Playground

Amazon SageMaker endpoints

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23. An e-commerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.

Which AWS services meet these requirements? (Select TWO.)

Amazon Lex

Amazon Comprehend

Amazon Polly

Amazon Bedrock

Amazon Rekognition

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24. A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately.

Which Amazon SageMaker inference option will meet these requirements?

Batch transform

Real-time inference

Serverless inference

Asynchronous inference

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25. 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

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26. 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

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27. 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.

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