New AIF-C01 Exam Name, Latest AIF-C01 Test Sample
New AIF-C01 Exam Name, Latest AIF-C01 Test Sample
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Tags: New AIF-C01 Exam Name, Latest AIF-C01 Test Sample, AIF-C01 Testking Exam Questions, AIF-C01 Valid Exam Tips, Well AIF-C01 Prep
The Amazon AIF-C01 certification is important for those who desire to advance their careers in the tech industry. They are also aware that receiving this certificate requires passing the Amazon AIF-C01 exam. Due to poor study material choices, many of these test takers are still unable to receive the Amazon AIF-C01 credential.
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Amazon AWS Certified AI Practitioner Sample Questions (Q86-Q91):
NEW QUESTION # 86
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.)
- A. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate.
- B. Ensure that the model's inference time is within the accepted limits.
- C. Ensure that the model runs frequently.
- D. Detect imbalances or disparities in the data.
- E. Evaluate the model's behavior so that the company can provide transparency to stakeholders.
Answer: D,E
Explanation:
To build an AI model responsibly and minimize bias, it is essential to ensure fairness and transparency throughout the model development and deployment process. This involves detecting and mitigating data imbalances and thoroughly evaluating the model's behavior to understand its impact on different groups.
* Option A (Correct): "Detect imbalances or disparities in the data": This is correct because identifying and addressing data imbalances or disparities is a critical step in reducing bias. AWS provides tools like Amazon SageMaker Clarify to detect bias during data preprocessing and model training.
* Option C (Correct): "Evaluate the model's behavior so that the company can provide transparency to stakeholders": This is correct because evaluating the model's behavior for fairness and accuracy is key to ensuring that stakeholders understand how the model makes decisions.
Transparency is a crucial aspect of responsible AI.
* Option B: "Ensure that the model runs frequently" is incorrect because the frequency of model runs does not address bias.
* Option D: "Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate" is incorrect because ROUGE is a metric for evaluating the quality of text summarization models, not for minimizing bias.
* Option E: "Ensure that the model's inference time is within the accepted limits" is incorrect as it relates to performance, not bias reduction.
AWS AI Practitioner References:
* Amazon SageMaker Clarify: AWS offers tools such as SageMaker Clarify for detecting bias in datasets and models, and for understanding model behavior to ensure fairness and transparency.
* Responsible AI Practices: AWS promotes responsible AI by advocating for fairness, transparency, and inclusivity in model development and deployment.
NEW QUESTION # 87
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?
- A. Correlation matrix
- B. Mean squared error (MSE)
- C. R2 score
- D. Confusion matrix
Answer: D
NEW QUESTION # 88
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.)
- A. Auto scaling inference endpoints
- B. Threat detection
- C. Data protection
- D. Cost optimization
- E. Loosely coupled microservices
Answer: B,C
Explanation:
Let me know if you'd like to continue with any more questions or if you need further assistance!
NEW QUESTION # 89
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 Data Wrangler
- B. Amazon SageMaker Clarify
- C. Amazon SageMaker Feature Store
- D. Amazon SageMaker Model Cards
Answer: C
Explanation:
Amazon SageMaker Feature Store is the correct solution for sharing and managing variables (features) across multiple teams during model development.
* Amazon SageMaker Feature Store:
* A fully managed repository for storing, sharing, and managing machine learning features across different teams and models.
* It enables collaboration and reuse of features, ensuring consistent data usage and reducing redundancy.
* Why Option A is Correct:
* Centralized Feature Management: Provides a central repository for managing features, making it easier to share them across teams.
* Collaboration and Reusability: Improves efficiency by allowing teams to reuse existing features instead of creating them from scratch.
* Why Other Options are Incorrect:
* B. SageMaker Data Wrangler: Helps with data preparation and analysis but does not provide a centralized feature store.
* C. SageMaker Clarify: Used for bias detection and explainability, not for managing variables across teams.
* D. SageMaker Model Cards: Provide model documentation, not feature management.
NEW QUESTION # 90
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?
- A. Text embedding model
- B. Image generation model
- C. Multi-modal generation model
- D. Multi-modal embedding model
Answer: D
NEW QUESTION # 91
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SurePassExams is a trusted platform that is committed to helping Amazon AIF-C01 exam candidates in exam preparation. The AIF-C01 exam questions are real and updated and will repeat in the upcoming AIF-C01 exam dumps. By practicing again and again you will become an expert to solve all the AWS Certified AI Practitioner exam questions completely and before the exam time. As far as the Amazon AIF-C01 Practice Test are concerned, these Amazon AIF-C01 practice questions are designed and verified by the experience and qualified AWS Certified AI Practitioner exam trainers.
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