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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Digital Transformation with Google Cloud | 17% | - Impact of cloud infrastructure on business flexibility, scalability, and agility - Google Cloud global infrastructure and resource management - Cost management and pricing models in Google Cloud - Cloud service models: IaaS, PaaS, SaaS |
| Topic 2: Innovating with Google Cloud Artificial Intelligence | 16% | - AI and ML fundamentals and business application - Use cases for AI in business operations and customer experience - Responsible AI principles and practices - Google Cloud AI/ML products and tools |
| Topic 3: 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 4: Scaling with Google Cloud Operations | 16% | - Business continuity and disaster recovery - Monitoring, logging, and observability tools - Automation and infrastructure as code - Operational excellence and reliability |
| Topic 5: Modernize Infrastructure and Applications with Google Cloud | 17% | - Migration and modernization strategies - Compute, storage, and networking solutions - Application modernization: containers, Kubernetes, serverless - Hybrid and multi-cloud environments |
| Topic 6: Trust and Security with Google Cloud | 17% | - Data security, encryption, and compliance - Identity and access management - Risk management and incident response - Security principles and shared responsibility model |
>> Cloud-Digital-Leader New Dumps Questions <<
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NEW QUESTION # 203
One of your customers used to have a private data center. While within their data center itself, they were consuming some Google services via API calls and other public, well-known addresses pub-lished by Google. Now they're evacuating their private data center and are moving to Google Cloud. Could they improve some of their existing architecture with respect to security?
Answer: A
Explanation:
"VM instances that only have internal IP addresses (no external IP addresses) can use Private Google Access. They can reach the external IP addresses of Google APIs and services. f you disable Private Google Access, the VM instances can no longer reach Google APIs and services; they can only send traffic within the VPC network."
https://cloud.google.com/vpc/docs/private-google-access
NEW QUESTION # 204
After rolling out a new update, an organization found a minor bug in its online video game.
How should the organization approach this bug while following SRE principles?
Answer: C
Explanation:
Explanation
https://www.blameless.com/sre/sre-principles
Accepting failure as normal is one of the SRE principles. SREs believe that accepting failure as normal helps to build an iterative, collaborative culture. One way this is done is by holding a blameless "lessons learned" discussion after an incident occurs.
NEW QUESTION # 205
An organization wants to dynamically adjust its application to serve different user needs. What are the benefits of storing their data in the cloud for this use case?
Answer: C
Explanation:
Explanation
By storing their application data in the cloud the organization will be able to gather and analyze user behavior data in real-time. This will enable them to dynamically adjust their application for different user needs.
NEW QUESTION # 206
An organization is hosting an application in Europe, and customers in Asia are reporting slow response times despite their fast internet connection.
What is the problem?
Answer: D
NEW QUESTION # 207
Your company provides car maintenance services. It is conducting an internal hackathon to identify new ideas that could expand their business. The teams have pitched different ideas and have started working on it. They have to present their application to the judges within 48 hours. A presentation alone is not enough; they have to demonstrate a working proof of concept. The team that you are mentoring is going to recommend additional ser-vices to drive in customers based on the brand of car they drive in. They need to be able to identify what brand of car the customer has, based on a photograph automatically taken at entry. They have already discovered an open source database of car images collected by online enthusiasts. How should they implement this solution?
Answer: A
Explanation:
It would be most straightforward to use AutoML Image. Put the images in Cloud Storage, point to it from AutoML, and start the model building process.
Reference Link- https://cloud.google.com/automl
NEW QUESTION # 208
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