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| Section | Objectives |
|---|---|
| Topic 1: Design and plan a cloud solution architecture | - Design Google Cloud solutions based on business requirements - Plan security and compliance requirements - Design for reliability, scalability, and availability |
| Topic 2: Manage and provision the solution infrastructure | - Automate infrastructure deployment - Provision compute, storage, and network resources |
| Topic 3: Analyze and optimize technical and business processes | - Optimize cost and resource usage - Monitor, log, and optimize system performance |
| Topic 4: Design for security and compliance | - Configure data protection and encryption - Implement identity and access management (IAM) |
| Topic 5: Manage implementations of cloud architecture | - Ensure solution reliability and operational excellence - Manage deployment and production systems |
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NEW QUESTION # 231
Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months.
You want to streamline and expedite the analysis and audit process. What should you do?
Answer: B
Explanation:
https://cloud.google.com/iam/docs/roles-audit-logging#scenario_external_auditors
NEW QUESTION # 232
Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to
integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSS-
compliant. Which of the following is most accurate?
Answer: C
NEW QUESTION # 233
You have deployed an application to Kubernetes Engine, and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes. You are notified that the application is reporting database connection issues. Your company policies require a post-mortem. What should you do?
Answer: D
Explanation:
https://cloud.google.com/sql/docs/mysql/connect-kubernetes-
engine#providing_the_service_account_to_the_proxy
NEW QUESTION # 234
For this question, refer to the Mountkirk Games case study
Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.
What should you do to isolate development environments from staging and production?
Answer: A
Explanation:
Topic 6, 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 # 235
JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application
servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need
access to Datastore to upload the data.
What service account key-management strategy should you recommend?
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Migrating data to Google Cloud Platform
Let's say that you have some data processing that happens on another cloud provider and you want to
transfer the processed data to Google Cloud Platform. You can use a service account from the virtual
machines on the external cloud to push the data to Google Cloud Platform. To do this, you must create
and download a service account key when you create the service account and then use that key from the
external process to call the Cloud Platform APIs.
References:
https://cloud.google.com/iam/docs/understanding-service-
accounts#migrating_data_to_google_cloud_platform
NEW QUESTION # 236
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