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NEW QUESTION # 213
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
- Increase to a global footprint.
- Improve uptime - downtime is loss of players.
- Increase efficiency of the cloud resources we use.
- Reduce latency to all customers.
Technical Requirements
Requirements for Game Backend Platform
- Dynamically scale up or down based on game activity.
- Connect to a transactional database service to manage user profiles and game state.
- Store game activity in a timeseries database service for future analysis.
- As the system scales, ensure that data is not lost due to processing backlogs.
- Run hardened Linux distro.
Requirements for Game Analytics Platform
- Dynamically scale up or down based on game activity
- Process incoming data on the fly directly from the game servers
- Process data that arrives late because of slow mobile networks
- Allow queries to access at least 10 TB of historical data
- Process files that are regularly uploaded by users' mobile devices
Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)
Answer: B,D
Explanation:
Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.
Write a schema migration plan to denormalize data for better performance in BigQuery.
https://cloud.google.com/bigquery/docs/loading-
data#loading_denormalized_nested_and_repeated_data
NEW QUESTION # 214
You have an App Engine application that needs to be updated. You want to test the update with production traffic before replacing the current application version.
What should you do?
Answer: A
Explanation:
Explanation
https://cloud.google.com/appengine/docs/standard/python/splitting-traffic
NEW QUESTION # 215
Your company has just recently activated Cloud Identity to manage users. The Google Cloud Organization has been configured as wed. The security learn needs to secure protects that will be part of the Organization. They want to prohibit IAM users outside the domain from gaining permissions from now on. What should they do?
Answer: B
Explanation:
An organization policy is a mechanism to configure constraints across your entire resource hierarchy1. By configuring an organization policy to restrict identities by domain, you can specify which domains are allowed or denied when granting IAM roles to users, groups, or service accounts2. This way, you can prohibit IAM users outside the domain from gaining permissions from now on2.
NEW QUESTION # 216
You are managing a few hundred Ubuntu and Red Hat Enterprise Linux virtual machines running on Google Compute Engine (GCE). You need to patch the operating systems for those VMs periodically in a secure and scalable way. What should you do?
Answer: D
Explanation:
VM Manager with the OS Config agent is the recommended and secure way to automate patch management on Google Compute Engine. It allows you to centrally schedule, deploy, and monitor patch jobs across hundreds of VMs in a scalable and policy-driven manner without needing manual SSH connections or custom scripts.
NEW QUESTION # 217
Your organization is a cloud-native shop which uses Google Kubernetes Engine (GKE) extensively to run its containerized workloads. You want to embrace infrastructure as code (IaC) principles to streamline and automate the provisioning, configuration, and management of Google Cloud resources and minimize operational cost. What should you do?
Answer: C
Explanation:
Config Controller provides a fully managed control plane that includes Config Connector, allowing you to define and manage Google Cloud resources declaratively using YAML manifests. This approach follows infrastructure as code principles, integrates naturally with Git-based workflows, and minimizes operational cost by removing the need to run and manage your own GKE cluster solely for infrastructure management.
NEW QUESTION # 218
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