Google Cloud Architect Professional

Google Cloud Architect Professional

Demonstrate the skills and knowledge to design, build, deploy, and manage secure, scalable, and efficient systems on Google Cloud Platform.

Focus

The Google Cloud Architect Professional certification focuses on Cloud Architecture

Exam Duration

The Google Cloud Architect Professional exam duration is 2 hours

Num of Question

The exam contains a total of 175 questions

Exam Fee

The exam fee is 425 USD.

Exam Validity

The CCRN-Pediatric certification is valid for 180 days.

Prior Certification

• Cloud Developer, Cloud Engineer, or equivalent experience

Exam Format

The Google Cloud Architect Professional exam is a Multiple-choice, fill-in-the-blank, and hands-on lab exams

Passing Conditions

To pass Google Cloud Architect Professional exam, applicants must achieve a minimum score of 65% or higher

Who Should Take

Professionals with significant experience designing and implementing cloud infrastructure on Google Cloud Platform.

• Solutions Architect
• Cloud Architect
• Enterprise Architect
• Technical Program Manager

Prerequisites

1-2+ years of hands-on experience designing, implementing, and managing large-scale cloud-based systems and solutions on Google Cloud Platform.

Or can substitute with certifications:

• Cloud Developer, Cloud Engineer, or equivalent experience
• 3+ years of IT experience in designing, implementing, and managing large-scale systems and solutions on Google Cloud Platform.

Certification Process

• Purchase the certification exam
• Prepare for the exam through the exam study guide, online training, or instructor-led training
• Schedule and pass the exam
• Maintain the certification by fulfilling the continuing education requirements

Domains with Weights

• Cloud Architecture (40%): Designing and implementing scalable, efficient, and secure cloud-based systems and solutions on Google Cloud Platform.
• Cloud Fundamentals (25%): Understanding the core infrastructure, services, and deployment models on Google Cloud Platform.
• Cloud Data and Machine Learning (15%): Designing and implementing data processing, storage, and machine learning solutions on Google Cloud Platform.
• Cloud Security and Governace (20%): Implementing and managing security, compliance, and governance solutions on Google Cloud Platform.