For this question, refer to the Helicopter Racing League (HRL) case study. HRL is looking for a cost-effective
approach for storing their race data such as telemetry. They want to keep all historical records, train models
using only the previous season's data, and plan for data growth in terms of volume and information collected.
You need to propose a data solution. Considering HRL business requirements and the goals expressed by
CEO S. Hawke, what should you do?
For this question, refer to the Helicopter Racing League (HRL) case study. Your team is in charge of creating a
payment card data vault for card numbers used to bill tens of thousands of viewers, merchandise consumers,
and season ticket holders. You need to implement a custom card tokenization service that meets the following
requirements:
• It must provide low latency at minimal cost.
• It must be able to identify duplicate credit cards and must not store plaintext card numbers.
• It should support annual key rotation.
Which storage approach should you adopt for your tokenization service?
For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud
infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video
encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted
after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you
do?
For this question, refer to the JencoMart case study.
JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data. What service account key-management strategy should you recommend?
TESTED 16 May 2024
