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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Manage and provision the solution infrastructure	- Provision compute, storage, and network resources - Automate infrastructure deployment
Topic 2: Design for security and compliance	- Configure data protection and encryption - Implement identity and access management (IAM)
Topic 3: Design and plan a cloud solution architecture	- Plan security and compliance requirements - Design for reliability, scalability, and availability - Design Google Cloud solutions based on business requirements
Topic 4: Manage implementations of cloud architecture	- Manage deployment and production systems - Ensure solution reliability and operational excellence
Topic 5: Analyze and optimize technical and business processes	- Optimize cost and resource usage - Monitor, log, and optimize system performance

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q83-Q88):

NEW QUESTION # 83
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform's resilience to changes in mobile network latency. What should you do?

A. Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.
B. Create an opt-in beta of the game that runs on players' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.
C. Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.
D. Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.

Answer: B

Explanation:
Topic 8, Mountkrik Games Case 3
Company overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They have recently started expanding to other platforms after successfully migrating their on-premises environments to Google Cloud.
Their most recent endeavor is to create a retro-style first-person shooter (FPS) game that allows hundreds of simultaneous players to join a geo-specific digital arena from multiple platforms and locations. A real-time digital banner will display a global leaderboard of all the top players across every active arena.
Solution concept
Mountkirk Games is building a new multiplayer game that they expect to be very popular. They plan to deploy the game's backend on Google Kubernetes Engine so they can scale rapidly and use Google's global load balancer to route players to the closest regional game arenas. In order to keep the global leader board in sync, they plan to use a multi-region Spanner cluster.
Existing technical environment
The existing environment was recently migrated to Google Cloud, and five games came across using lift-and-shift virtual machine migrations, with a few minor exceptions. Each new game exists in an isolated Google Cloud project nested below a folder that maintains most of the permissions and network policies. Legacy games with low traffic have been consolidated into a single project. There are also separate environments for development and testing.
Business requirements
Support multiple gaming platforms.
Support multiple regions.
Support rapid iteration of game features.
Minimize latency.
Optimize for dynamic scaling.
Use managed services and pooled resources.
Minimize costs.
Technical requirements
Dynamically scale based on game activity.
Publish scoring data on a near real-time global leaderboard.
Store game activity logs in structured files for future analysis.
Use GPU processing to render graphics server-side for multi-platform support.
Support eventual migration of legacy games to this new platform.
Executive statement
Our last game was the first time we used Google Cloud, and it was a tremendous success. We were able to analyze player behavior and game telemetry in ways that we never could before. This success allowed us to bet on a full migration to the cloud and to start building all-new games using cloud-native design principles. Our new game is our most ambitious to date and will open up doors for us to support more gaming platforms beyond mobile. Latency is our top priority, although cost management is the next most important challenge. As with our first cloud-based game, we have grown to expect the cloud to enable advanced analytics capabilities so we can rapidly iterate on our deployments of bug fixes and new functionality.

NEW QUESTION # 84
Your development team has created a structured API to retrieve vehicle data. They want to allow third parties to develop tools for dealerships that use this vehicle event data. You want to support delegated authorization against this data.
What should you do?

A. Restrict data access based on the source IP address of the partner systems
B. Create secondary credentials for each dealer that can be given to the trusted third party
C. Build SAML 2.0 SSO compatibility into your authentication system
D. Build or leverage an OAuth-compatible access control system

Answer: D

Explanation:
Delegate application authorization with OAuth2
Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-legged OAuth.
References: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise- organizations#delegate_application_authorization_with_oauth2
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps

NEW QUESTION # 85
Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a 99.99% availability SLA under these conditions However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load. What should you do?

A. Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce "chaos" to the system by terminating random resources on both zones.
B. Expose the new system to a larger group of users, and increase group ' size each day until autoscale logic is tnggered on all layers. At the same time, terminate random resources on both zones.
C. Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the same time, terminate all resources in one of the zones.
D. Capture existing users input, and replay captured user load until resource utilization crosses 80%. Also, derive estimated number of users based on existing users usage of the app, and deploy enough resources to handle 200% of expected load.

Answer: D

NEW QUESTION # 86
You company has a Kubernetes application that pulls messages from Pub/Sub and stores them in Firestore.
Because the application is simple, it was deployed as a single pod. The infrastructure team has analyzed Pub/Sub metrics and discovered that the application cannot process the messages in real time. Most of them wait for minutes before being processed. You need to scale the elaboration process that is I/O-intensive.
What should you do?

A. Use kubectl autoscale deployment APP_NAME -max 6 -min 2 -cpu- percent 50 to configure Kubernetes autoscaling deployment
B. Configure a Kubernetes autoscaling based on the subscription/push_request metric.
C. Use the -enable- autoscaling flag when you create the Kubernetes cluster
D. Configure a Kubernetes autoscaling based on the subscription/num_undelivered message metric.

Answer: B

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/custom-and-external-metrics#external_metrics

NEW QUESTION # 87
You are planning to migrate your on-premises compute and SAP workloads to Google Cloud. You want to follow Google-recommended practices to quickly create a cost estimate for running these workloads in Google Cloud. What should you do?

A. Leverage Cloud Asset Inventory to gather data and generate a cost estimate.
B. Gather data about your current environment, and leverage Google Cloud Migration Center to generate a cost estimate
C. Use the Google Cloud pricing calculator, and input the estimated resource to generate a cost estimate
D. Engage with a Google Cloud partner to perform a comprehensive assessment and provide a customized cost estimate.

Answer: B

Explanation:
Migrating enterprise workloads like SAP requires a more nuanced approach than a simple virtual machine estimate. Google Cloud now recommends Migration Center (Option D) as the unified platform for assessment and planning.
* Google-Recommended Practice: Migration Center is specifically designed to handle discovery and estimation. It features a specialized SAP-specific calculator that understands SAP-certified machine types, high-memory requirements, and licensing considerations.
* Efficiency: Unlike the manual Pricing Calculator (Option C), which requires you to know every technical detail (vCPU, RAM, Disk type) beforehand, Migration Center allows you to import data from your current environment or use " rapid " estimation templates based on your workload size (Small, Medium, Large).
* Why not B? While a partner assessment is comprehensive, the question asks for a way to quickly create an estimate following Google ' s own tools and practices. Migration Center is the automated, first- party path to achieving this.

NEW QUESTION # 88
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