HipLocal has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data stored on persistent disks.
Which IP strategy should they use?
For this question refer to the HipLocal case study.
HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?
For this question, refer to the HipLocal case study.
How should HipLocal redesign their architecture to ensure that the application scales to support a large increase in users?
HipLocal’s data science team wants to analyze user reviews.
How should they prepare the data?
In order for HipLocal to store application state and meet their stated business requirements, which database service should they migrate to?
HipLocal's APIs are showing occasional failures, but they cannot find a pattern. They want to collect some
metrics to help them troubleshoot.
What should they do?
For this question, refer to the HipLocal case study.
HipLocal is expanding into new locations. They must capture additional data each time the application is launched in a new European country. This is causing delays in the development process due to constant schema changes and a lack of environments for conducting testing on the application changes. How should they resolve the issue while meeting the business requirements?
HipLocal is configuring their access controls.
Which firewall configuration should they implement?