Exam Professional Cloud Architect topic 6 question 6 discussion

@jcmoranp , that is incorrect.. https://cloud.google.com/bigtable/docs/schema-design-time-series it's A

Correct Answer A Cloud Bigtable Storing time series data in Cloud Bigtable https://cloud.google.com/bigtable/docs/schema-design-time-series

Big Query. in the case study, interactions with users are directly with GKE. GKE push events on Pub/Sub and then Dataflow take events and go to BQ. Activity from Stackdriver Logging to Cloud Storage to Dataflow to BQ.

Google Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads.

ok for A

A can capture time series data

The key word is "time series" which ultimately leads to Bigtable. It is also used for collecting data from IoT devices.

as per ACG its C. BigQuery

A is the correct answer

vote A

Answer is A BigTable. Thats the best solution to process and store the data, BiqQuery can be used to analyse the data. Big Query not a suitable target for time series.

Answer is A

A. Cloud Bigtable

C - BigQuery BigTable is Wrong: BigTable is timeseries with "low latency" and they didnt mention anything about low-latency. They did mention about future analysis so BQ is best. DataStore is wrong Choice: DataStore is good for transactional data e.g. saving and updating game state as it chnages. In the question they are talking about game activity which is a serious on insert only data based on time.

Google says we can store time series vehicle data in Bigtable which can later be used for analytical processing using BigQuery. https://cloud.google.com/architecture/designing-connected-vehicle-platform#data_ingestion Even though it says vehicle data and the question is for game data we eventually are storing time series type of data so I think this link is relevant. Based on Google explanation, I would choose A

Answer is A

A is ok