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퍼펙트한AIF-C01최신업데이트덤프문제최신덤프자료

퍼펙트한Amazon AIF-C01시험대비덤프자료는 Pass4Test가 전문입니다. Amazon AIF-C01덤프를 다운받아 가장 쉬운 시험준비를 하여 한방에 패스가는것입니다. 다같이 Amazon AIF-C01덤프로 시험패스에 주문걸어 보아요. 마술처럼Amazon AIF-C01시험합격이 실현될것입니다.

Amazon 인증 AIF-C01시험이 너무 어려워서 시험 볼 엄두도 나지 않는다구요? Pass4Test 덤프만 공부하신다면 IT인증시험공부고민은 이젠 그만 하셔도 됩니다. Pass4Test에서 제공해드리는Amazon 인증 AIF-C01시험대비 덤프는 덤프제공사이트에서 가장 최신버전이여서 시험패스는 한방에 갑니다. Amazon 인증 AIF-C01시험뿐만 아니라 IT인증시험에 관한 모든 시험에 대비한 덤프를 제공해드립니다. 많은 애용 바랍니다.

>> AIF-C01최신 업데이트 덤프문제 <<

시험준비에 가장 좋은 AIF-C01최신 업데이트 덤프문제 인증덤프자료

경쟁이 치열한 IT업계에서 굳굳한 자신만의 자리를 찾으려면 국제적으로 인정받는 IT자격증 취득은 너무나도 필요합니다. Amazon인증 AIF-C01시험은 IT인사들중에서 뜨거운 인기를 누리고 있습니다. Pass4Test는 IT인증시험에 대비한 시험전 공부자료를 제공해드리는 전문적인 사이트입니다.한방에 쉽게Amazon인증 AIF-C01시험에서 고득점으로 패스하고 싶다면Pass4Test의Amazon인증 AIF-C01덤프를 선택하세요.저렴한 가격에 비해 너무나도 높은 시험적중율과 시험패스율, 언제나 여러분을 위해 최선을 다하는Pass4Test가 되겠습니다.

최신 AWS Certified AI AIF-C01 무료샘플문제 (Q95-Q100):

질문 # 95
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. Customize the model by using fine-tuning.
B. Increase the number of tokens in the prompt.
C. Decrease the number of tokens in the prompt.
D. Use Provisioned Throughput.

정답：C

설명：
Decreasing the number of tokens in the prompt reduces the cost associated with using an LLM model on Amazon Bedrock, as costs are often based on the number of tokens processed by the model.
* Token Reduction Strategy:
* By decreasing the number of tokens (words or characters) in each prompt, the company reduces the computational load and, therefore, the cost associated with invoking the model.
* Since the model is performing well with few-shot prompting, reducing token usage without sacrificing performance can lower monthly costs.
* Why Option B is Correct:
* Cost Efficiency: Directly reduces the number of tokens processed, lowering costs without requiring additional adjustments.
* Maintaining Performance: If the model is already performing well, a reduction in tokens should not significantly impact its performance.
* Why Other Options are Incorrect:
* A. Fine-tuning: Can be costly and time-consuming and is not needed if the current model is already performing well.
* C. Increase the number of tokens: Would increase costs, not lower them.
* D. Use Provisioned Throughput: Is unrelated to token costs and applies more to read/write capacity in databases.

질문 # 96
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?

A. Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.
B. Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.
C. Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.
D. Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.

정답：D

설명：
Guardrails for Amazon Bedrock provide mechanisms to filter and control the content generated by models to comply with privacy and policy requirements. Using guardrails ensures that sensitive or personal information is not included in the model's responses. Additionally, integrating Amazon CloudWatch alarms allows for real- time notification when a policy violation occurs.
* Option C (Correct): "Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations": This is the correct answer because it directly addresses both the prevention of policy violations and the requirement to receive notifications when such violations occur.
* Option A: "Use Amazon Macie to scan the model's output for sensitive data" is incorrect because Amazon Macie is designed to monitor data in S3, not to filter real-time model outputs.
* Option B: "Configure AWS CloudTrail to monitor the model's responses" is incorrect because CloudTrail tracks API activity and is not suited for content moderation.
* Option D: "Implement Amazon SageMaker Model Monitor to detect data drift" is incorrect because data drift detection does not address content moderation or privacy compliance.
AWS AI Practitioner References:
* Guardrails in Amazon Bedrock: AWS provides guardrails to ensure AI models comply with content policies, and using CloudWatch for alerting integrates monitoring capabilities.

질문 # 97
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. Ensure that the model runs frequently.
B. Use the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) technique to ensure that the model is 100% accurate.
C. Ensure that the model's inference time is within the accepted limits.
D. Evaluate the model's behavior so that the company can provide transparency to stakeholders.
E. Detect imbalances or disparities in the data.

정답：D,E

설명：
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.

질문 # 98
An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential dat a. 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?

A. Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).
B. Encrypt the confidential data in the inference responses by using Amazon SageMaker.
C. Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
D. Mask the confidential data in the inference responses by using dynamic data masking.

정답：C

질문 # 99
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?

A. Increase the temperature.
B. Adjust the prompt.
C. Choose an LLM of a different size.
D. Increase the Top K value.

정답：B

질문 # 100
......

Pass4Test의 Amazon인증 AIF-C01덤프를 구매하시고 공부하시면 밝은 미래를 예약한것과 같습니다. Pass4Test의 Amazon인증 AIF-C01덤프는 고객님이 시험에서 통과하여 중요한 IT인증자격증을 취득하게끔 도와드립니다. IT인증자격증은 국제적으로 인정받기에 취직이나 승진 혹은 이직에 힘을 가해드립니다. 학원공부나 다른 시험자료가 필요없이Pass4Test의 Amazon인증 AIF-C01덤프만 공부하시면Amazon인증 AIF-C01시험을 패스하여 자격증을 취득할수 있습니다.

AIF-C01최고합격덤프: https://www.pass4test.net/AIF-C01.html

Amazon AIF-C01최신 업데이트 덤프문제 자격증이 보편화되면 자격증의 가치도 그만큼 떨어지니깐요, Amazon AIF-C01최신 업데이트 덤프문제 24시간 온라인상담과 메일상담 제공, Amazon AIF-C01최신 업데이트 덤프문제 PDF버전은 거의 모든 운영체제에서 읽을수 있는 장점이 있고 Testing Engine 은 실제시험환경을 익숙해가며 공부할수 있는 장점이 있기에 패키지로 구매하시면 시험패스에 더 많이 도움될수 있는데 패키지로 구입하시면 50% 할인해드립니다, 우리가 고객의 어떠한 AIF-C01 자격증 시험이라도 합격을 도와 드립니다, Pass4Test의 Amazon인증 AIF-C01덤프를 공부하여Amazon인증 AIF-C01시험을 패스하는건 아주 간단한 일입니다.저희 사이트에서 제작한Amazon인증 AIF-C01덤프공부가이드는 실제시험의 모든 유형과 범위가 커버되어있어 높은 적중율을 자랑합니다.시험에서 불합격시 덤프비용은 환불신청 가능하기에 안심하고 시험준비하시면 됩니다.

이번에도 그가 먼저 도발했다, 권 대리 업무 효율 능력이 너무 떨어져서AIF-C01시험대비 인증덤프자료그 동안 잘라야 한다는 생각을 여러 번 했습니다, 자격증이 보편화되면 자격증의 가치도 그만큼 떨어지니깐요, 24시간 온라인상담과 메일상담 제공.

AIF-C01최신 업데이트 덤프문제 최신버전 덤프

PDF버전은 거의 모든 운영체제에서 읽을수 있는 장점이 있고 Testing Engine AIF-C01은 실제시험환경을 익숙해가며 공부할수 있는 장점이 있기에 패키지로 구매하시면 시험패스에 더 많이 도움될수 있는데 패키지로 구입하시면 50% 할인해드립니다.

우리가 고객의 어떠한 AIF-C01 자격증 시험이라도 합격을 도와 드립니다, Pass4Test의 Amazon인증 AIF-C01덤프를 공부하여Amazon인증 AIF-C01시험을 패스하는건 아주 간단한 일입니다.저희 사이트에서 제작한Amazon인증 AIF-C01덤프공부가이드는 실제시험의 모든 유형과 범위가 커버되어있어 높은 적중율을 자랑합니다.시험에서 불합격시 덤프비용은 환불신청 가능하기에 안심하고 시험준비하시면 됩니다.