[Q28-Q45] AIF-C01 Free Update With 100% Exam Passing Guarantee [2024]

AIF-C01 Free Update With 100% Exam Passing Guarantee [2024]

[Dec-2024] Verified Amazon Exam Dumps with AIF-C01 Exam Study Guide

Amazon AIF-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Applications of Foundation Models: This domain examines how foundation models, like large language models, are used in practical applications. It is designed for those who need to understand the real-world implementation of these models, including solution architects and data engineers who work with AI technologies to solve complex problems.
Topic 2	Fundamentals of AI and ML: This domain covers the fundamental concepts of artificial intelligence (AI) and machine learning (ML), including core algorithms and principles. It is aimed at individuals new to AI and ML, such as entry-level data scientists and IT professionals.
Topic 3	Fundamentals of Generative AI: This domain explores the basics of generative AI, focusing on techniques for creating new content from learned patterns, including text and image generation. It targets professionals interested in understanding generative models, such as developers and researchers in AI.
Topic 4	Guidelines for Responsible AI: This domain highlights the ethical considerations and best practices for deploying AI solutions responsibly, including ensuring fairness and transparency. It is aimed at AI practitioners, including data scientists and compliance officers, who are involved in the development and deployment of AI systems and need to adhere to ethical standards.
Topic 5	Security, Compliance, and Governance for AI Solutions: This domain covers the security measures, compliance requirements, and governance practices essential for managing AI solutions. It targets security professionals, compliance officers, and IT managers responsible for safeguarding AI systems, ensuring regulatory compliance, and implementing effective governance frameworks.

 

NEW QUESTION # 28
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?

• A. Agents for Amazon Bedrock
• B. Guardrails for Amazon Bedrock
• C. Amazon Rekognition
• D. Amazon Bedrock playgrounds

Answer: B

NEW QUESTION # 29
A company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model's responses to new types of queries. The company needs to upload a new dataset that Amazon Bedrock can use for validation.
Which AWS service meets these requirements?

• A. Amazon S3
• B. Amazon Elastic File System (Amazon EFS)
• C. Amazon Elastic Block Store (Amazon EBS)
• D. AWS Snowcone

Answer: A

Explanation:
I'll continue to format the remaining questions in the same format. Stay tuned!

NEW QUESTION # 30
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?

• A. Amazon SageMaker Model Cards
• B. Amazon SageMaker Feature Store
• C. Amazon SageMaker Clarify
• D. Amazon SageMaker Data Wrangler

Answer: B

NEW QUESTION # 31
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. Models
• C. Binaries
• D. Tokens

Answer: A

NEW QUESTION # 32
A company needs to build its own large language model (LLM) based on only the company's private dat a. 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?

• A. Amazon EC2 Trn series
• B. Amazon EC2 C series
• C. Amazon EC2 P series
• D. Amazon EC2 G series

Answer: A

NEW QUESTION # 33
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?

• A. Use transfer learning.
• B. Use unsupervised learning.
• C. Decrease the number of epochs.
• D. Increase the number of epochs.

Answer: A

NEW QUESTION # 34
A company has built a solution by using generative AI. The solution uses large language models (LLMs) to translate training manuals from English into other languages. The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals.
Which model evaluation strategy meets these requirements?

• A. Bilingual Evaluation Understudy (BLEU)
• B. Root mean squared error (RMSE)
• C. F1 score
• D. Recall-Oriented Understudy for Gisting Evaluation (ROUGE)

Answer: A

NEW QUESTION # 35
A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data.
Which strategy will successfully fine-tune the model?

• A. Provide labeled data with the prompt field and the completion field.
• B. Train the model on journals and textbooks.
• C. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
• D. Purchase Provisioned Throughput for Amazon Bedrock.

Answer: A

NEW QUESTION # 36
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?

• A. Deploy optimized small language models (SLMs) on edge devices.
• B. Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.
• C. Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.
• D. Deploy optimized large language models (LLMs) on edge devices.

Answer: A

NEW QUESTION # 37
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

Answer: A

NEW QUESTION # 38
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. Encrypt and secure training data by using Amazon Macie.
• B. Gather more data. Use Amazon Rekognition to add custom labels to the data.
• C. Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.
• D. Configure the security and compliance by using Amazon Inspector.

Answer: C

NEW QUESTION # 39
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. Spot Instance
• D. Provisioned Throughput

Answer: A

NEW QUESTION # 40
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?

• A. Model convergence tables
• B. Sample data for training
• C. Partial dependence plots (PDPs)
• D. Code for model training

Answer: C

NEW QUESTION # 41
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. Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
• B. 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.
• C. Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.
• D. Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.

Answer: C

Explanation:
I'll continue to format the rest. Let me know if you would like me to provide them all in one go or in parts.

NEW QUESTION # 42
A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images.
Which solution will meet these requirements?

• A. Automate user feedback integration.
• B. Retrain the model with a general public dataset.
• C. Perform model validation.
• D. Implement moderation APIs.

Answer: D

NEW QUESTION # 43
A company is using few-shot prompting on a base model that is hosted on Amazon Bedrock. The model currently uses 10 examples in the prompt. The model is invoked once daily and is performing well. The company wants to lower the monthly cost.
Which solution will meet these requirements?

• A. Decrease the number of tokens in the prompt.
• B. Use Provisioned Throughput.
• C. Customize the model by using fine-tuning.
• D. Increase the number of tokens in the prompt.

Answer: A

NEW QUESTION # 44
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?

• A. Model deployment
• B. Training
• C. Inference
• D. Bias correction

Answer: C

NEW QUESTION # 45
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