AIF-C01 Echte Fragen, AIF-C01 Zertifizierung

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Amazon AIF-C01 Exam Overview:

Certification Vendor:Amazon Web Services (AWS)
Exam Name:AWS Certified AI Practitioner (AIF-C01)
Exam Number:AIF-C01
Passing Score:700/1000
Exam Duration:90 minutes
Exam Format:Multiple choice, Multiple response
Related Certifications:AWS Certified Cloud Practitioner
Real Exam Qty:65
Available Languages:Portuguese (Brazil), Korean, Japanese, Simplified Chinese, Spanish, English
Certificate Validity Period:3 years
Exam Price:$100 USD
Recommended Training:AWS Certified AI Practitioner Official Exam Guide
AWS Skill Builder - AI Practitioner Learning Plan
Exam Registration:AWS Certification Portal
AWS Training and Certification Registration
Sample Questions:Amazon AIF-C01 Sample Questions
Exam Way:Online proctored exam or in-person test center
Pre Condition:No formal prerequisites required. Recommended: basic understanding of cloud computing and general AI/ML concepts.
Official Syllabus URL:https://aws.amazon.com/certification/certified-ai-practitioner/

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Amazon AIF-C01 Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 2
  • 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.
Thema 3
  • 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.
Thema 4
  • 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.
Thema 5
  • 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.

Amazon AWS Certified AI Practitioner AIF-C01 Prüfungsfragen mit Lösungen (Q156-Q161):

156. Frage
Which metric measures the runtime efficiency of operating AI models?

Antwort: C


157. Frage
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?

Antwort: D

Begründung:
To manage the flow of data from Amazon S3 to SageMaker Studio notebooks securely, using a VPC with an S3 endpoint is the best solution.
* Amazon SageMaker and S3 Integration:
* Configuring SageMaker to use a Virtual Private Cloud (VPC) with an S3 endpoint allows the data flow between Amazon S3 and SageMaker Studio notebooks to occur over a private network.
* This setup ensures that traffic between SageMaker and S3 does not traverse the public internet, enhancing security and performance.
* Why Option C is Correct:
* Secure Data Transfer: Ensures secure, private connectivity between SageMaker and S3, reducing exposure to potential security risks.
* Direct Access to S3: Using an S3 endpoint in a VPC allows direct access to data in S3 without leaving the AWS network.
* Why Other Options are Incorrect:
* A. Amazon Inspector: Focuses on identifying security vulnerabilities, not managing data flow.
* B. Amazon Macie: Monitors for sensitive data but does not manage data flow between S3 and SageMaker.
* D. S3 Glacier Deep Archive: Is a storage class for archiving data, not for managing active data flow.


158. Frage
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?

Antwort: C


159. Frage
Select the correct prompt engineering technique from the following list for each description. Select each prompt engineering technique one time or not at all. (Select THREE.)
* Chain-of-thought prompting
* Few-shot prompting
* Role-based prompting
* Single-shot prompting
* Zero-shot prompting

Antwort:

Begründung:

Explanation:

The verified selections are Few-shot prompting , Chain-of-thought prompting , and Zero-shot prompting . The first description matches few-shot prompting because AWS describes few-shot prompting as a technique that includes example outputs or demonstrations in the initial prompt so the model can understand the expected pattern before generating a response. The phrase "provide a small number of examples" is the key indicator.
A few-shot prompt gives the model limited examples of the desired task, format, or reasoning style, and the model uses those examples as context for the next output.
The second description matches chain-of-thought prompting . AWS describes chain-of-thought prompting as a technique that helps a model solve a problem by following a series of intermediate reasoning steps before reaching the final answer. The wording "break down the step-by-step process" directly points to chain-of- thought prompting. This method is commonly associated with reasoning, arithmetic, logic, planning, and multi-step problem solving because the prompt encourages the model to work through intermediate steps rather than immediately outputting a final answer.
The third description matches zero-shot prompting because AWS describes zero-shot prompting as asking the model to perform a task without providing examples in the prompt. The model relies only on the instruction and its pre-trained knowledge. The phrase "without providing examples" is the decisive clue.
Role-based prompting is not used here because none of the descriptions asks the model to act as a specific persona, job role, or domain expert, such as "Act as a financial analyst" or "You are a security engineer." Single-shot prompting is also not used because the first description says a "small number of examples," which indicates few-shot prompting, not exactly one example. Therefore, the three correct hotspot mappings are Few-shot prompting , Chain-of-thought prompting , and Zero-shot prompting .


160. Frage
A financial company has offices in different countries worldwide. The company requires that all API calls between generative AI applications and foundation models (FM) must not travel across the public internet.
Which AWS service should the company use?

Antwort: B

Begründung:
AWS PrivateLink provides private connectivity between VPCs, AWS services, and on-premises networks, ensuring traffic does not traverse the public internet.
A is correct:
"AWS PrivateLink provides private connectivity to services across VPCs, keeping API traffic off the public internet." (Reference: AWS PrivateLink Overview)
"AWS PrivateLink provides private connectivity to services across VPCs, keeping API traffic off the public internet." (Reference: AWS PrivateLink Overview) B (Amazon Q) is a generative AI assistant, not a network security/control tool.
C (CloudFront) is a CDN, not for private API calls.
D (CloudTrail) is for logging and monitoring, not secure connectivity.


161. Frage
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