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| Section | Weight | Objectives |
|---|---|---|
| Exploring Data Transformation with Google Cloud | 17% | - Data-driven decision making and business value - Modern data architectures and solutions - Google Cloud data storage and analytics services - Data lifecycle management and governance |
| Digital Transformation with Google Cloud | 17% | - Google Cloud global infrastructure and resource management - Cloud service models: IaaS, PaaS, SaaS - Impact of cloud infrastructure on business flexibility, scalability, and agility - Cost management and pricing models in Google Cloud |
| Modernize Infrastructure and Applications with Google Cloud | 17% | - Compute, storage, and networking solutions - Hybrid and multi-cloud environments - Migration and modernization strategies - Application modernization: containers, Kubernetes, serverless |
| Scaling with Google Cloud Operations | 16% | - Operational excellence and reliability - Monitoring, logging, and observability tools - Business continuity and disaster recovery - Automation and infrastructure as code |
| Trust and Security with Google Cloud | 17% | - Security principles and shared responsibility model - Identity and access management - Data security, encryption, and compliance - Risk management and incident response |
| Innovating with Google Cloud Artificial Intelligence | 16% | - Responsible AI principles and practices - Google Cloud AI/ML products and tools - Use cases for AI in business operations and customer experience - AI and ML fundamentals and business application |
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NEW QUESTION # 294
Your company has recently acquired three growing startups in three different countries. You want to reduce overhead in infrastructure management and keep your costs low without sacrificing security and quality of service to your customers.
How should you meet these requirements?
Answer: A
Explanation:
Host all your subsidiaries' services together with your existing services on the public cloud.
NEW QUESTION # 295
An organization is developing a new container-based application. They do not know how popular the application will be when launched and they do not want to pay for idle infrastructure resources. Which benefit of serverless computing will address this concern?
Answer: A
NEW QUESTION # 296
An organization wants to duplicate critical system components to enhance reliability and mitigate single points of failure Which design consideration should the organization use?
Answer: C
NEW QUESTION # 297
A partner of yours used to have their own private data center. Your company was already on Google Cloud and now they have also moved to Google Cloud. You are investigating whether there are ways to collaborate better or shared services. What would be one good option to consider?
Answer: A
Explanation:
VPC Network Peering allows internal IP address connectivity across two Virtual Private Cloud (VPC) networks regardless of whether they belong to the same project or the same organization.
-> Shared VPC is only within an organization - it allows an organization to connect resources from multiple projects to a common Virtual Private Cloud (VPC) network, so that they can communicate with each other securely and efficiently using internal IPs from that network.
-> Private Google Access is only to access Google APIs and services
Reference:
-> https://cloud.google.com/vpc/docs/vpc-peering
-> https://cloud.google.com/vpc/docs/private-google-access
-> https://cloud.google.com/vpc/docs/shared-vpc
NEW QUESTION # 298
Which of the following is / are true for Preemptible Instances.
Answer: D
Explanation:
Explanation
Preemptible instances function like normal instances but have the following limitations:
-> Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.
-> Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this
24-hour counter.
-> Preemptible instances are finite Compute Engine resources, so they might not always be available.
-> Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.
-> Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).
-> The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.
NEW QUESTION # 299
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