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Topic 2, HipLocal Case StudyCompanyOverview:
HipLocal is a community application designed to facilitatecommunication between people in close proximity. It is used for event planningand organizing sporting events, and for businesses to connect with their localcommunities. HipLocallaunched recently in a few neighborhoods in Dallas and is rapidly growing intoa global phenomenon. Its unique style of hyper-local community communicationand business outreach is in demand around the world.
We are the number one local community app; it’s time to takeour local community services global. Our venture capital investors want to seerapid growth and the same great experience for new local and virtualcommunities that come online, whether their members are 10 or 10,000 miles awayfrom each other.
HipLocal wants to expand their existing service, withupdated functionality, in new regions to better serve their global customers.They want to hire and train a new team to support these regions in their timezones. They will need to ensure that theapplication scales smoothly and provides clear uptime data.
HipLocal’s environment is a mix of on-premises hardware andinfrastructure running in Google Cloud Platform. The HipLocal team understandstheir application well but has limited experience in global scale applications.Their existing technical environment is as follows:
v Existing APIs run onCompute Engine virtual machine instances hosted in GCP
v State is stored in a singleinstance MySQL database in GCP
v Data is exported to anon-premises Teradata/Vertica data warehouse
v Data analytics is performedin an on-premises Hadoop environment
v The application has nologging
v There are basic indicatorsof uptime; alerts are frequently fired when the APIs are unresponsive
HipLocal’s investors want to expand their footprint andsupport the increase in demand they are seeing. Their requirements are:
v Expand availability of theapplication to new regions
v Increase the number ofconcurrent users that can be supported
v Ensure a consistentexperience for users when they travel to different regions
v Obtain user activitymetrics to better understand how to monetize their product
v Ensure compliance withregulations in the new regions (for example, GDPR)
v Reduce infrastructuremanagement time and cost
v Adopt theGoogle-recommended practices for cloud computing
v The application and backendmust provide usage metrics and monitoring
v APIs require strongauthentication and authorization
v Logging must be increased,and data should be stored in a cloud analytics platform
v Move to serverless architectureto facilitate elastic scaling
v Provide authorized accessto internal apps in a secure manner
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Which service should HipLocal use to enable access tointernal apps?
A. Cloud VPN
B. Cloud Armor
C. Virtual Private Cloud
D. Cloud Identity-Aware Proxy
HipLocal's.net-based auth service fails under intermittentload. What should they do?
A. Use App Engine for autoscaling.
B. Use Cloud Functions for autoscaling.
C. Use a Compute Engine cluster for the service.
D. Use a dedicated Compute Engine virtual machine instancefor the service
HipLocal wants to reduce the number of on-call engineers andeliminate manual scaling. Which two services should they choose? (Choose two.)
A. Use Google App Engine services.
B. Use serverless Google Cloud Functions.
C. Use Knative to build and deploy serverless applications.
D. Use Google Kubernetes Engine for automated deployments.
E. Use a large Google Compute Engine cluster for deployments.
HipLocal has connected their Hadoop infrastructure to GCPusing Cloud Interconnect in order to query data stored on persistent disks.
A. Which IP strategy should they use?
B. Create manual subnets.
C. Create an auto mode subnet.
D. Create multiple peered VPCs.
E. Provision a single instance for NAT.
In order to meet their business requirements, how shouldHipLocal store their application state?
A. Use local SSDs to store state
B. Put a memcache layer in front of MySQL.
C. Move the state storage to Cloud Spanner.
D. Replace the MySQL instance with Cloud SQL.
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