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Recent Comments (The most recent comments are at the top.)
I would go C here. Yes there is no need for real-time analytics, but data will be used for analytics. If this is the case good options would be Bigtable or BigQuery. See
https://cloud.google.com/storage-options/
A is correct, refer to Choosing4 Storage Options >> https://cloud.google.com/images/storage-options/flowchart.svg
Given it is do NOT require real-time analytic (only for future analysis) so Cloud Datastore is best option for cost efficencies.
The Correct Answer is C (Bigtable). The reason is that data is in IOT nature and it will be used for analytics.
D is right. https://cloud.google.com/solutions/data-analytics-partner-ecosystem
for storing the data we can use Google storage which can push the data for BigQuery for analytics
Answer: D
D
I agree with stonewealth. GCS is the most convenient storage for data just waiting to be processed in the future, despite the fact, that no given option is best practice for stream data ingestion at that speed. -> Pub/Sub!
Answer should be D. This is a typical cold path ingestion and data dont require real-time analysis. https://cloud.google.com/solutions/architecture/optimized-large-scale-analytics-ingestion
it should be bigtable