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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Digital Transformation with Google Cloud | 17% | - Cost management and pricing models in Google Cloud - Impact of cloud infrastructure on business flexibility, scalability, and agility - Cloud service models: IaaS, PaaS, SaaS - Google Cloud global infrastructure and resource management |
| Topic 2: Exploring Data Transformation with Google Cloud | 17% | - Google Cloud data storage and analytics services - Data-driven decision making and business value - Modern data architectures and solutions - Data lifecycle management and governance |
| Topic 3: Trust and Security with Google Cloud | 17% | - Risk management and incident response - Data security, encryption, and compliance - Identity and access management - Security principles and shared responsibility model |
| Topic 4: Modernize Infrastructure and Applications with Google Cloud | 17% | - Compute, storage, and networking solutions - Application modernization: containers, Kubernetes, serverless - Migration and modernization strategies - Hybrid and multi-cloud environments |
| Topic 5: Scaling with Google Cloud Operations | 16% | - Operational excellence and reliability - Business continuity and disaster recovery - Monitoring, logging, and observability tools - Automation and infrastructure as code |
| Topic 6: Innovating with Google Cloud Artificial Intelligence | 16% | - Use cases for AI in business operations and customer experience - Responsible AI principles and practices - Google Cloud AI/ML products and tools - AI and ML fundamentals and business application |
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NEW QUESTION # 270
An organization's applications run on an inflexible, on-premises architecture. The organization has decided to modernize their existing applications with the cloud. What may have prompted this business decision?
Answer: A
Explanation:
Explanation
Modernizing applications means they can make alterations and innovate more easily.
NEW QUESTION # 271
A small scale retailer has been collecting its point of sale transaction in a PostgreSQL Da-tabase. They have raised funding for a strategic expansion goal in the next year that will see them grow significantly in Asia, Europe, North America, Which Database option should they choose in Google Cloud?
Answer: A
Explanation:
Spanner is a global scale Database that Support SQL querying, Similar to PostgreSQL, Which will be regional. So that will be a fairly smooth move, Since they have the time and the funding, they can plan for this migration.
NEW QUESTION # 272
In terms of Dockers and Kubernetes, which of the following statements are correct?
Answer: D
Explanation:
Explanation
Kubernetes vs. Docker
Often misunderstood as a choice between one or the other, Kubernetes and Docker are different yet complementary technologies for running containerized applications.
Docker lets you put everything you need to run your application into a box that can be stored and opened when and where it is required. Once you start boxing up your applications, you need a way to manage them; and that's what Kubernetes does.
Kubernetes is a Greek word meaning 'captain' in English. Like the captain is responsible for the safe journey of the ship in the seas, Kubernetes is responsible for carrying and delivering those boxes safely to locations where they can be used.
- Kubernetes can be used with or without Docker.
- Docker is not an alternative to Kubernetes, so it's less of a "Kubernetes vs. Docker" question. It's about using Kubernetes with Docker to containerize your applications and run them at scale.
- The difference between Docker and Kubernetes relates to the role each play in containerizing and running your applications.
- Docker is an open industry standard for packaging and distributing applications in containers.
- Kubernetes uses Docker to deploy, manage, and scale containerized applications.
NEW QUESTION # 273
The customer has applications that do data processing on-premise. They have been built using Ha-doop and Spark. What product should I use on Google Cloud?
Answer: D
Explanation:
Because Dataproc is used to run Hadoop/Spark workloads
NEW QUESTION # 274
If you increase the size of a subnet in a custom VPC network, the IP addresses of virtual machines already on that subnet might be affected. Which options are Correct.
Answer: D
Explanation:
Explanation
You can dynamically increase the size of a subnet in a custom network by expanding the range of IP addresses allocated to it. Doing that doesn't affect already configured VMs.
NEW QUESTION # 275
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