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Introductory Info 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 portalLAMP (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 strategyPostgreSQL database stores user credentials- Single-homed in US West- No redundancy- Backed up every 12 hours- 100% uptime service level agreement (SLA)- Authenticates all usersCompute -30 machines in US West Coast, each machine has:- Twin, dual core CPUs- 32 GB 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 locationTape backup every weekBusiness Requirements -Optimize for capacity during peak periods and value during off-peak periodsGuarantee service availability and supportReduce on-premises footprint and associated financial and environmental impactMove to outsourcing model to avoid large upfront costs associated with infrastructure purchaseExpand services into AsiaTechnical Requirements -Assess key application for cloud suitabilityModify applications for the cloudMove applications to a new infrastructureLeverage managed services wherever feasibleSunset 20% of capacity in existing data centersDecrease latency in AsiaCEO 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 policies.CTO Statement -The challenges of operating data centers prevent 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 to 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 periods and reduce costs. Question JencoMart wants to move their User Profiles database to Google Cloud Platform.Which Google Database should they use?

You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine. The script is printing errors that it cannot connect toBigQuery.What should you do to fix the script?

When Dress4Win migrated to cloud, it desired to perform security scanning in the test and development environments. From an end-user perspective, scanning should be possible. How could they perform the penetration testing?

You are working for an ad tech company that requires both real-time and batch processing of ad click data. The data needs to be analyzed in real-time for near instant reporting to advertisers, but also needs to be processed in a batch for daily and monthly reporting. Which combination of GCP services would be the most efficient for this use case?

You are managing an application deployed on Cloud Run for Anthos, and you need to define a strategy for deploying new versions of the application. You want to evaluate the new code with a subset of production traffic to decide whether to proceed with the rollout. What should you do?