For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?
Correct Answer: A
From Scenario: A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools. Requirements for Game Analytics Platform include: Dynamically scale up or down based on game activity
Question 172
Your company is forecasting a sharp increase in the number and size of Apache Spark and Hadoop jobs being run on your local datacenter You want to utilize the cloud to help you scale this upcoming demand with the least amount of operations work and code change. Which product should you use?
Correct Answer: B
Google Cloud Dataproc is a fast, easy-to-use, low-cost and fully managed service that lets you run the Apache Spark and Apache Hadoop ecosystem on Google Cloud Platform. Cloud Dataproc provisions big or small clusters rapidly, supports many popular job types, and is integrated with other Google Cloud Platform services, such as Google Cloud Storage and Stackdriver Logging, thus helping you reduce TCO. References: https://cloud.google.com/dataproc/docs/resources/faq
Question 173
You are deploying an application on App Engine that needs to integrate with an on-premises database. For security purposes, your on-premises database must not be accessible through the public Internet. What should you do?
For this question, refer to the Mountkirk Games case study. Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?
Correct Answer: B
Explanation 503 is service unavailable error. If the database was online everyone would get the 503 error. Topic 3, JencoMart Case Study Company Overview JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years. Company Background JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth. Solution Concept JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported. Existing Technical Environment JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed. JencoMart understands the dependencies and resource usage metrics of their on-premises architecture. Application Customer loyalty portal LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S. data centers. Database * Oracle Database stores user profiles * 20 TB * Complex table structure * Well maintained, clean data * Strong backup strategy * PostgreSQL database stores user credentials * Single-homed in US West No redundancy Backed up every 12 hours * 100% uptime service level agreement (SLA) * Authenticates all users Compute * 30 machines in US West Coast, each machine has: Twin, dual core CPUs 32GB of RAM * Twin 250 GB HDD (RAID 1) * 20 machines in US East Coast, each machine has: Single dual-core CPU 24 GB of RAM * Twin 250 GB HDD (RAID 1) Storage * Access to shared 100 TB SAN in each location * Tape backup every week Business Requirements * Optimize for capacity during peak periods and value during off-peak periods * Guarantee service availably and support * Reduce on-premises footprint and associated financial and environmental impact. * Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase * Expand services into Asia. Technical Requirements * Assess key application for cloud suitability. * Modify application for the cloud. * Move applications to a new infrastructure. * Leverage managed services wherever feasible * Sunset 20% of capacity in existing data centers * Decrease latency in Asia CEO Statement JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices. CTO Statement The challenges of operating data centers prevents focus on key technologies critical to our long-term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers. CFO Statement Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long-term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
Question 175
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?
