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| Section | Weight | Objectives |
|---|---|---|
| Trust and Security with Google Cloud | 17% | - Data security, encryption, and compliance - Identity and access management - Security principles and shared responsibility model - Risk management and incident response |
| Modernize Infrastructure and Applications with Google Cloud | 17% | - Application modernization: containers, Kubernetes, serverless - Migration and modernization strategies - Compute, storage, and networking solutions - Hybrid and multi-cloud environments |
| Digital Transformation with Google Cloud | 17% | - Impact of cloud infrastructure on business flexibility, scalability, and agility - Cost management and pricing models in Google Cloud - Google Cloud global infrastructure and resource management - Cloud service models: IaaS, PaaS, SaaS |
| Innovating with Google Cloud Artificial Intelligence | 16% | - Use cases for AI in business operations and customer experience - AI and ML fundamentals and business application - Responsible AI principles and practices - Google Cloud AI/ML products and tools |
| Scaling with Google Cloud Operations | 16% | - Monitoring, logging, and observability tools - Operational excellence and reliability - Automation and infrastructure as code - Business continuity and disaster recovery |
| Exploring Data Transformation with Google Cloud | 17% | - Modern data architectures and solutions - Google Cloud data storage and analytics services - Data lifecycle management and governance - Data-driven decision making and business value |
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問題 #368
Your organization is migrating to Google Cloud. As part of that effort, it needs to move terabytes of data from on-premises file servers to Cloud Storage. Your organization wants the migration process to be automated and to be managed by Google. Your organization has an existing Dedicated Interconnect connection that it wants to use. Which Google Cloud product or feature should your organization use?
答案：B
解題說明：
Reference: https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets Text, application Description automatically generated Graphical user interface, text, application, email Description automatically generated
https://cloud.google.com/architecture/migration-to-google-cloud-transferring-your-large-datasets
問題 #369
You are a program manager for a team of developers who are building an event-driven application to allow users to follow one another's activities in the app. Each time a user adds himself as a follower of another user, a write occurs in the real-time database.
The developers will develop a lightweight piece of code that can respond to database writes and generate a notification to let the appropriate users know that they have gained new followers. The code should integrate with other cloud services such as Pub/Sub, Firebase, and Cloud APIs to streamline the orchestration process. The application requires a platform that automatically manages underlying infrastructure and scales to zero when there is no activity.
Which primary compute resource should your developers select, given these requirements?
答案：C
問題 #370
Which Google Cloud service or feature lets you build machine learning models using Standard SQL and data in a data warehouse?
答案：B
解題說明：
BigQuery ML lets you create and execute machine learning models in BigQuery using standard SQL queries.
Reference: https://cloud.google.com/bigquery-ml/docs/introduction#:~:text=BigQuery%20ML%20lets%
20you%20create,the%20need%20to%20move%20data
https://cloud.google.com/bigquery-ml/docs/introduction
問題 #371
Your customer is making a decision on whether to move to Google Cloud. Their key concern is about 10,000 VMs that are part of their IT infrastructure used across more than 110 applications. They are apprehensive of too many changes at this stage. They want to get to Google Cloud in the easiest way possible with minimal disruption. What option would you recommend for them?
答案：C
解題說明：
Migrate for Compute Engine's advanced replication migration technology copies instance data to Google Cloud in the background with no interruptions to the source workload that's running.
https://cloud.google.com/migrate/compute-engine
問題 #372
A customer of yours has an SLA with their client that a particular service will respond within 4 sec-onds. The end client has reported that it feels slower. Your engineers do a trial at the client site and notice that there seems to be a delay for many of the requests. It's your team's responsibility to iden-tify the issue quickly within the strict timeline for fixes according to the contract, and then fix it. What should you do?
答案：B
解題說明：
Explanation
Cloud Trace is a built-in tool in the Operations suite to identify issues like latency.
-> Such fixes are unlikely to change core issues like the service itself being architected or written sub-optimally. Though changes like browser, networking, etc. are helpful, it would be the wrong approach to first recommend that the customer upgrade all their hardware and software.
-> Rewriting code and logging information is going to be time consuming. In general though, logging should always be included in code and it can give good insights. But tracing is way more specific and comprehensive for this requirement.
-> In certain cases, we might identify scaling as the issue. But we should first identify the core problem. So, start with tracing. We can also achieve scale in server-ful technologies.
Reference link- https://cloud.google.com/trace
問題 #373
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