For this question, refer to the TerramEarth case study. TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?
Correct Answer: B
Explanation https://cloud.google.com/solutions/data-lifecycle-cloud-platform https://cloud.google.com/solutions/designing-connected-vehicle-platform 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 147
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?
The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers
Correct Answer: A,C,D
Question 149
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier. How should you configure the network?
Correct Answer: D
Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions. References: https://cloud.google.com/docs/compare/openstack/ https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/
Question 150
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?
