Exam Format

• Exam Code: AIP-C01
• Certification Level: Professional
• Exam Duration: ~205 minutes (beta duration)
• Passing Score: AWS uses a scaled scoring model; minimum passing score typically around 750 (on a 100–1000 scale).
• Unscored Content: The exam may include unscored questions used for research and future exam forms.

Exam Details

• Question Types: Multiple choice, multiple response, ordering, matching (as specified in official exam guide)
• Number of Questions: 85 scored questions (format includes multiple choice and multiple response)
• Hands-On Questions: Not typical performance labs; the exam focuses on scenario-based application questions (multiple formats per AWS documentation)

Exam Policies

• Offline Proctoring: Must be rescheduled or canceled according to AWS/Pearson VUE policies (typically 48 hrs notice).
• Online Proctoring: Must be rescheduled or canceled within time window per AWS/Pearson VUE rules.
• Retake Policy: Standard AWS Certification retake rules apply (waiting period between attempts).
• Identification: Valid government-issued ID required at test center or for online proctoring.

Certification Validity and Renewal

• Validity: 3 years from the date of certification.
• Renewal Options: Recertify by passing the current version of the exam or meet AWS recertification criteria (e.g., pass alternative AWS exams or complete renewal activities).

Exam Fee

• Base Fee: $150 USD (beta pricing).
• Taxes: Country-specific VAT/GST may apply (e.g., in India 18% GST on top of base fee).

Prerequisites

• 2+ years of cloud experience building production-grade applications on AWS or with open-source technologies.
• 1+ year of hands-on experience implementing generative AI solutions.
• Familiarity with AWS compute, storage, networking, security best practices, deployment tools (e.g., IaC), monitoring, and cost optimization principles.

Exam Topics

• Domain 1: Foundation Model Integration, Data Management, and Compliance (31%)
• Domain 2: Implementation and Integration (26%)
• Domain 3: AI Safety, Security, and Governance (20%)
• Domain 4: Operational Efficiency and Optimization for Generative AI Applications (12%)
• Domain 5: Testing, Validation, and Troubleshooting (11%)

Core subject areas include:

• Designing and integrating foundation models into applications
• Selecting RAG and vector data architectures
• Implementing prompt engineering and management
• Ensuring AI safety, governance, and security
• Optimizing cost, performance and operational workflows
• Validating, testing, and troubleshooting GenAI solutions

Intended Audience

• Senior Cloud Developers
• GenAI Solution Architects
• Machine Learning/AI Engineers integrating AWS GenAI services
• Software engineers working on production-grade generative AI applications

Career Impact

• Generative AI Developer, Cloud AI Engineer, Solutions Architect (AI/ML focus), Senior Software Developer (AI workloads)

• Highly variable by region and experience; professional AWS certs often command premium salaries in cloud/AI roles (noted trends in AWS career growth and AWS Certified professionals).

• Recognized as one of AWS’s advanced professional credentials, signaling deep practical expertise in deploying secure, scalable, and cost-efficient AI solutions on AWS.

Exam Mode

• At authorized Pearson VUE test centers
• Online proctored through Pearson VUE’s platform

Exam Booking Link

1. Book your AWS exam via Pearson VUE or AWS Certification portal:

• Official AWS Certification scheduling page — https://www.aws.amazon.com/certification/

After Exam

• After passing, your certification is available via your AWS Certification account (AWS Cert Manager).
• Digital badge usually appears within 24–48 hours.

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