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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Scaling with Google Cloud Operations | 16% | - Operational excellence and reliability - Automation and infrastructure as code - Business continuity and disaster recovery - Monitoring, logging, and observability tools |
| Topic 2: Innovating with Google Cloud Artificial Intelligence | 16% | - Use cases for AI in business operations and customer experience - Google Cloud AI/ML products and tools - AI and ML fundamentals and business application - Responsible AI principles and practices |
| Topic 3: Digital Transformation with Google Cloud | 17% | - Google Cloud global infrastructure and resource management - Impact of cloud infrastructure on business flexibility, scalability, and agility - Cost management and pricing models in Google Cloud - Cloud service models: IaaS, PaaS, SaaS |
| Topic 4: Trust and Security with Google Cloud | 17% | - Data security, encryption, and compliance - Risk management and incident response - Identity and access management - Security principles and shared responsibility model |
| Topic 5: Exploring Data Transformation with Google Cloud | 17% | - Data-driven decision making and business value - Data lifecycle management and governance - Google Cloud data storage and analytics services - Modern data architectures and solutions |
| Topic 6: Modernize Infrastructure and Applications with Google Cloud | 17% | - Application modernization: containers, Kubernetes, serverless - Hybrid and multi-cloud environments - Migration and modernization strategies - Compute, storage, and networking solutions |
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NEW QUESTION # 39
Your organization wants to optimize its use of Google Cloud's discounts on virtual machine-based workloads. You plan to use 200 CPUs constantly for the next 3 years, and you forecast that spikes of up to 300 CPUs will occur approximately 30% of the time. What should you choose?
Answer: C
NEW QUESTION # 40
Your organization is developing a plan for migrating to Google Cloud.
What is a best practice when initially configuring your Google Cloud environment?
Answer: C
NEW QUESTION # 41
What is an example of unstructured data?
Answer: B
NEW QUESTION # 42
What does Cloud Debugger help an organization do?
Answer: C
Explanation:
Cloud Debugger is a feature of Google Cloud Platform that lets you inspect the state of an application, at any code location, without stopping or slowing down the running app. Cloud Debugger makes it easier to view the application state without adding logging statements.
NEW QUESTION # 43
You are a cloud architect in a software solution provider company, one of the client that is a Na-tional Bank who wants to build an application that deals with transactions processing, and it needs a relational database with petabyte of scale dat a. Which of the following Google Cloud Services will you use?
Answer: B
Explanation:
- Cloud Spanner is the online transaction processing solution that is relational and offers petabyte scalability. Cloud SQL is not designed for petabyte-scale data.
NEW QUESTION # 44
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