Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis. What is the recommended approach for sanitizing this data of personally identifiable information or payment card information before initial storage?
For this question, refer to the JencoMart case study. 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 dat a. What service account key-management strategy should you recommend?
Correct Answer: A
https://cloud.google.com/iam/docs/understanding-service-accounts 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. Reference: https://cloud.google.com/iam/docs/understanding-service-accounts#migrating_data_to_google_cloud_platform
Question 178
For this question, refer to the TerramEarth case study. TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US. Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after 100 K miles. You want to run this job on all the data. What is the most cost-effective way to run this job?
Correct Answer: D
Explanation Storageguarantees 2 replicates which are geo diverse (100 miles apart) which can get better remote latency and availability. More importantly, is that multiregional heavily leverages Edge caching and CDNs to provide the content to the end users. All this redundancy and caching means that Multiregional comes with overhead to sync and ensure consistency between geo-diverse areas. As such, it's much better for write-once-read-many scenarios. This means frequently accessed (e.g. "hot" objects) around the world, such as website content, streaming videos, gaming or mobile applications. References: https://medium.com/google-cloud/google-cloud-storage-what-bucket-class-for-the-best-performance-5c847ac8f9 Topic 2, Mountkirk Games Case Study 1 Company Overview Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms. Company Background Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Mountkirk's 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. Technical Requirements Requirements for Game Backend Platform 1. Dynamically scale up or down based on game activity. 2. Connect to a managed NoSQL database service. 3. Run customized Linx distro. Requirements for Game Analytics Platform 1. Dynamically scale up or down based on game activity. 2. Process incoming data on the fly directly from the game servers. 3. Process data that arrives late because of slow mobile networks. 4. Allow SQL queries to access at least 10 TB of historical data. 5. Process files that are regularly uploaded by users' mobile devices. 6. Use only fully managed services CEO Statement Our last successful game did not scale well with our previous cloud provider, resuming 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 gams to target users. CTO Statement 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. CFO Statement We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.
Question 179
For this question, refer to the JencoMart case study. JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asia. You want to measure success against their business and technical goals. Which metrics should you track?
Correct Answer: C
Explanation From scenario: Business Requirements include: Expand services into Asia Technical Requirements include: Decrease latency in Asia Topic 4, Dress4Win case study 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. Company Background Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated 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 considering moving their development and test environments. They are also considering 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. * Databases: * MySQL - user data, inventory, static data * Redis - metadata, social graph, caching * Application servers: * Tomcat - Java micro-services * Nginx - static content * Apache Beam - Batch processing * Storage appliances: * iSCSI for VM hosts * Fiber channel SAN - MySQL databases * NAS - image storage, logs, backups * Apache Hadoop/Spark servers: * Data analysis * Real-time trending calculations * MQ servers: * Messaging * Social notifications * Events * Miscellaneous servers: * Jenkins, monitoring, bastion hosts, security scanners 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. * Migrate fully to the cloud if all other requirements are met. Technical Requirements * Evaluate and choose an automation framework for provisioning resources in cloud. * Support failover of the production environment to cloud during an emergency. * Identify production services that can migrate to cloud to save capacity. * Use managed services whenever possible. * Encrypt data on the wire and at rest. * Support multiple VPN connections between the production data center and cloud environment. CEO Statement Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features. CTO Statement We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle. CFO Statement 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 puts a cloud strategy between 30 to 50% lower than our current model.
Question 180
For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as -is and would still be an optimized architecture for performance in the cloud?
