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Valid AIF-C01 Exam Prep, Exam AIF-C01 Lab Questions
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2026 Latest Test4Cram AIF-C01 PDF Dumps and AIF-C01 Exam Engine Free Share: https://drive.google.com/open?id=1xRnvfXyj98wNfnIPqRq01ft8er09oomI
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Amazon AIF-C01 Exam Syllabus Topics:| Topic | Details | | Topic 1 | - 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 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 | - 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 4 | - 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.
| | Topic 5 | - 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.
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Exam AIF-C01 Lab Questions - Reliable AIF-C01 Test TestkingTest4Cram also presents desktop-based Amazon AIF-C01 practice test software which is usable without any internet connection after installation and only required license verification. AWS Certified AI Practitioner (AIF-C01) practice test software is very helpful for all those who desire to practice in an actual AWS Certified AI Practitioner (AIF-C01) exam-like environment. AWS Certified AI Practitioner (AIF-C01) practice test software contains many Amazon AIF-C01 practice exam designs just like the real AWS Certified AI Practitioner (AIF-C01) exam.
Amazon AWS Certified AI Practitioner Sample Questions (Q114-Q119):NEW QUESTION # 114
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?
- A. Decrease the batch size.
- B. Decrease the epochs.
- C. Increase the temperature parameter.
- D. Increase the epochs.
Answer: D
NEW QUESTION # 115
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 Elastic Block Store (Amazon EBS)
- B. AWS Showcone
- C. Amazon Elastic File System (Amazon EFS)
- D. Amazon S3
Answer: D
Explanation:
Amazon S3 is the optimal choice for storing and uploading datasets used for machine learning model validation and training. It offers scalable, durable, and secure storage, making it ideal for holding datasets required by Amazon Bedrock for validation purposes.
Option A (Correct): "Amazon S3": This is the correct answer because Amazon S3 is widely used for storing large datasets that are accessed by machine learning models, including those in Amazon Bedrock.
Option B: "Amazon Elastic Block Store (Amazon EBS)" is incorrect because EBS is a block storage service for use with Amazon EC2, not for directly storing datasets for Amazon Bedrock.
Option C: "Amazon Elastic File System (Amazon EFS)" is incorrect as it is primarily used for file storage with shared access by multiple instances.
Option D: "AWS Snowcone" is incorrect because it is a physical device for offline data transfer, not suitable for directly providing data to Amazon Bedrock.
AWS AI Practitioner References:
Storing and Managing Datasets on AWS for Machine Learning: AWS recommends using S3 for storing and managing datasets required for ML model training and validation.
NEW QUESTION # 116
A company wants to develop a solution that uses generative AI to create content for product advertisements, Including sample images and slogans.
Select the correct model type from the following list for each action. Each model type should be selected one time. (Select THREE.)
* Diffusion model
* Object detection model
* Transformer-based model
Answer:
Explanation:
Reference:
Transformer-based models (such as GPT or Amazon Titan Text) are designed for generating and understanding natural language. These models can generate coherent, contextually relevant slogans based on product information.
Object detection models are designed to identify and locate objects within images, which makes them suitable for verifying that specific brand elements (like logos or products) are correctly positioned in the generated content.
NEW QUESTION # 117
A company needs to monitor the performance of its ML systems by using a highly scalable AWS service.
Which AWS service meets these requirements?
- A. AWS Config
- B. AWS CloudTrail
- C. AWS Trusted Advisor
- D. Amazon CloudWatch
Answer: D
NEW QUESTION # 118
Select the correct AI term from the following list for each statement. Each AI term should be selected one time. (Select THREE.)
* AI
* Deep learning
* ML
Answer:
Explanation:
NEW QUESTION # 119
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