For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost. Which two actions should you take?
Correct Answer: D
Topic 7, Mountkrik Games Case 2 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 57
You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instances in a different project in the US-East region. What steps must you take?
Correct Answer: D
Explanation https://stackoverflow.com/questions/36441423/migrate-google-compute-engine-instance-to-a-different-region Topic 5, Dress4Win Case 2 Company Overview Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster. Dress4Win is committing to a full migration to a public cloud. Solution Concept For the first phase of their migration to the cloud, Dress4win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them. Existing Technical Environment The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS v16.04. Databases: MySQL. 1 server for user data, inventory, static data: - MySQL 5.8 - 8 core CPUs - 128 GB of RAM - 2x 5 TB HDD (RAID 1) Redis 3 server cluster for metadata, social graph, caching. Each server is: - Redis 3.2 - 4 core CPUs - 32GB of RAM Compute: 40 Web Application servers providing micro-services based APIs and static content. - Tomcat - Java - Nginx - 4 core CPUs - 32 GB of RAM 20 Apache Hadoop/Spark servers: - Data analysis - Real-time trending calculations - 8 core CPUS - 128 GB of RAM - 4x 5 TB HDD (RAID 1) 3 RabbitMQ servers for messaging, social notifications, and events: - 8 core CPUs - 32GB of RAM Miscellaneous servers: - Jenkins, monitoring, bastion hosts, security scanners - 8 core CPUs - 32GB of RAM Storage appliances: iSCSI for VM hosts Fiber channel SAN - MySQL databases - 1 PB total storage; 400 TB available NAS - image storage, logs, backups - 100 TB total storage; 35 TB available Business Requirements Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud. Improve business agility and speed of innovation through rapid provisioning of new resources. Analyze and optimize architecture for performance in the cloud. Technical Requirements Easily create non-production environment in the cloud. Implement an automation framework for provisioning resources in cloud. Implement a continuous deployment process for deploying applications to the on-premises datacenter or cloud. Support failover of the production environment to cloud during an emergency. Encrypt data on the wire and at rest. Support multiple private connections between the production data center and cloud environment. Executive Statement Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle. Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.
Question 58
One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application data. How can you design your logging system to verify authenticity of your logs?
Correct Answer: D
Write a log entry. If the log does not exist, it is created. You can specify a severity for the log entry, and you can write a structured log entry by specifying --payload-type=json and writing your message as a JSON string: gcloud logging write LOG STRING gcloud logging write LOG JSON-STRING --payload-type=json References: https://cloud.google.com/logging/docs/reference/tools/gcloud-logging
Question 59
For this question, refer to the TerramEarth case study. TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the field will have a catastrophic failure. You want to allow analysts to centrally query the vehicle data. Which architecture should you recommend?
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?
