Topic 1 Question 125
You have a petabyte of analytics data and need to design a storage and processing platform for it. You must be able to perform data warehouse-style analytics on the data in Google Cloud and expose the dataset as files for batch analysis tools in other cloud providers. What should you do?
Store and process the entire dataset in BigQuery.
Store and process the entire dataset in Bigtable.
Store the full dataset in BigQuery, and store a compressed copy of the data in a Cloud Storage bucket.
Store the warm data as files in Cloud Storage, and store the active data in BigQuery. Keep this ratio as 80% warm and 20% active.
ユーザの投票
コメント(17)
Answer C.
👍 34Rajokkiyam2020/03/30A and B can be eliminated right away as they do not talk about providing for other cloud providers. between C and D. The question says nothing about warm or cold data-rather that data should be made available for other providers--C--can fulfill this condition. Answer C.
👍 20AJKumar2020/06/21Vote for 'C'
A - Only Half requirement fulfil, expose as a file not getting fulfiled B - Not a warehouse C. Both requirements fulfiled...Bigquery and GCS D. Both requirement fulfiled...but what if other cloud provider wants to analysis on rest 80% of the data. -
So out of 4 options, C looks okay
👍 8sumanshu2021/07/03
シャッフルモード