Google Professional Cloud Architect & Data Engineer Pack

[GOOGLE PROFESSIONAL CLOUD ARCHITECT]

A Google Cloud Certified Professional Cloud Architect enables organizations to leverage Google Cloud technologies. Through an understanding of cloud architecture and Google technology, this individual designs, develops, and manages robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

The Cloud Architect should be proficient in all aspects of enterprise cloud strategy, solution design, and architectural best practices. The Cloud Architect should also be experienced in software development methodologies and approaches including multi-tiered distributed applications which span multicloud or hybrid environments.

The Professional Cloud Architect certification exam assesses your ability to:

• Design and plan a cloud architecture
• Manage and provision the cloud solution infrastructure
• Design for security and compliance
• Analyze and optimize technical and business processes
• Manage implementations of cloud architecture
• Ensure solution and operations reliability

About the Google Professional Cloud Architect exam:

• Length: 2 hours
• Registration fee: $200 (plus tax where applicable)
• Languages: English, Japanese
• Format: Multiple choice and multiple select, taken remotely or in person at a test center.
• Case studies: Each exam includes 2 case studies that describe fictitious business and solution concepts. Case study questions make up 20-30% of the exam and assess your ability to apply your knowledge to a realistic business situation.
• Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.

Case studies

During the exam for the Cloud Architect Certification, some of the questions may refer you to a case study that describes a fictitious business. These case studies are intended to provide additional context to help you choose your answer(s). Review the case studies that may be used in the exam (Google website).

• EHR Healthcare
• Helicopter Racing League
• Mountkirk Games
• TerramEarth

Exam guide:

1. Designing and planning a cloud solution architecture
   1. Designing a solution infrastructure that meets business requirements
   2. Designing a solution infrastructure that meets technical requirements
   3. Designing network, storage, and compute resources
   4. Creating a migration plan (i.e., documents and architectural diagrams)
   5. Envisioning future solution improvements
2. Managing and provisioning a solution infrastructure
   1. Configuring network topologies
   2. Configuring individual storage systems
   3. Configuring compute systems
3. Designing for security and compliance
   1. Designing for security
   2. Designing for compliance
4. Analyzing and optimizing technical and business processes
   1. Analyzing and defining technical processes
   2. Analyzing and defining business processes
   3. Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)
5. Managing implementation
   1. Advising development/operation teams to ensure successful deployment of the solution
   2. Interacting with Google Cloud programmatically
6. Ensuring solution and operations reliability
   1. Monitoring/logging/profiling/alerting solution
   2. Deployment and release management
   3. Assisting with the support of deployed solutions
   4. Evaluating quality control measures

[GOOGLE PROFESSIONAL DATA ENGINEER]

Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

About the Google Cloud Professional Data Engineer exam:

• Length: 2 hours
• Registration fee: $200 (plus tax where applicable)
• Languages: English, Japanese
• Format: 50-60 multiple choice and multiple select questions
• Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
• Exam Delivery Method: the online-proctored exam from a remote location or the onsite-proctored exam at a testing center

The Professional Data Engineer exam assesses your ability to:

• Designing data processing systems
• Building and operationalizing data processing systems
• Operationalizing machine learning models
• Ensuring solution quality

Exam guide:

• Designing data processing systems
  • Selecting the appropriate storage technologies
  • Designing data pipelines.
  • Designing a data processing solution
  • Migrating data warehousing and data processing
• Building and operationalizing data processing systems
  • Building and operationalizing storage systems
  • Building and operationalizing pipelines
  • Building and operationalizing processing infrastructure
• Operationalizing machine learning models
  • Leveraging pre-built ML models as a service
  • Deploying an ML pipeline
  • Choosing the appropriate training and serving infrastructure
  • Measuring, monitoring, and troubleshooting machine learning models.
• Ensuring solution quality
  • Designing for security and compliance
  • Ensuring scalability and efficiency
  • Ensuring reliability and fidelity
  • Ensuring flexibility and portability

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