You are designing a Data Warehouse on Google Cloud and want to store sensitive data in BigQuery. Your company requires you to generate the encryption keys outside of Google Cloud. You need to implement a solution. What should you do?

Your operations team currently stores 10 TB of data in an object storage service from a third-party provider. They want to move this data to a Cloud Storage bucket as quickly as possible, following Google-recommended practices. They want to minimize the cost of this data migration. Which approach should they use?

When planning your migration, you find out that some members of the network management team will need to be able to manage all network components, but other team members will only need read access. What mechanism should you use to control this?

Introductory Info 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. Question For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?

In your role as a cloud architect, you are tasked with designing a large distributed application comprising 20 microservices. Each of these microservices must connect to the database backend. Your objective is to ensure the secure storage of credentials for these connections. What is the recommended storage location for the credentials?