Innovating with Data and Google Cloud (approximately 30% of the exam)

2.1 Describe the role of data in digital transformation and the importance of a data-driven culture

• Explain how cloud technology enables data to be applied in new ways

2.2 Identify common Google Cloud solutions for data management

• Recognize examples of structured and unstructured data

2.3 Identify common Google Cloud solutions for smart analytics

• Articulate the business benefits of storing data in the cloud
• Apply appropriate business use cases for databases, data warehouses, and data lakes
• Explain the benefits of Google Cloud data products, including: Looker, BigQuery, Cloud Spanner, Cloud SQL, Cloud Storage

2.4 Identify Google Cloud’s solutions for machine learning and AI

• Define artificial intelligence (AI) and machine learning (ML)
• Outline the importance of data quality in ML prediction accuracy
• Describe Google Cloud’s differentiators with regard to AI and machine learning
• Recognize the ways customers can use Google Cloud’s AI and ML solutions to create business value

Infrastructure and Application Modernization with Google Cloud (approximately 30% of the exam)

3.1 Learn what modernizing IT infrastructure with Google Cloud means

• Explain why legacy infrastructure struggles to deliver modern services to customers
• Explain the benefits of modernizing infrastructure with cloud technology
• Differentiate between hybrid and multicloud infrastructures
• Differentiate between virtual machines, containers, and serverless computing within business use cases
• Identify the Google Cloud solutions that help businesses modernize their infrastructure

3.2 Understand modernizing applications with Google Cloud

• Describe the business drivers for modernizing applications
• Describe the benefits of using cloud-native applications
• Apply the appropriate change pattern to different business use cases
• Explain the benefits of Google Kubernetes Engine, Anthos, and App Engine for application development

3.3 Understand the value of APIs

• Explain how application programming interfaces (APIs) can modernize legacy systems
• Describe how APIs can create new business value
• Explain the benefits of Apigee

Understanding Google Cloud Security and Operations (approximately 30% of the exam)

4.1 Describe financial governance in the cloud and Google Cloud’s recommended best practices for effective cloud cost management

• Explain how adopting cloud technology affects the total cost of ownership (TCO)
• Identify the cost management strategy needed in a given business scenario

4.2 Describe a cloud security approach and Google Cloud security benefits

• Define fundamental cloud security terms, including privacy, availability, security, and control
• Explain what is meant by a “shared responsibility model”
• Describe the security benefits of using Google Cloud
• Identify today’s top cybersecurity challenges and threats to data privacy
• Demonstrate how organizations can control and manage access to cloud resources

4.3 Explain how IT operations need to adapt to thrive in the cloud

• Differentiate service availability requirements in the cloud versus in on-premises environments
• Describe the operational challenges that DevOps solves
• Apply the goals of site reliability engineering (SRE) to different business use cases

4.4 Identify Google Cloud solutions for cloud resource monitoring and application performance management

• Explain the potential impact of unexpected or prolonged downtime
• Define monitoring, logging, and observability within the context of cloud operations
• Identify the Google Cloud resource monitoring and maintenance tools.