Topic 1 Question 23
You are building a pipeline to process time-series data. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?
Cloud Pub/Sub, Cloud Dataflow, Cloud Datastore, BigQuery
Firebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery
Cloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable
Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery
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Without a doubt D. Whenever we want to process timeseries data look for BigTable. Also you want to perform analystics in Box 4 ..look for BigQuery
Only D provides this option.
👍 58cloudenthu012020/06/25- 正解だと思う選択肢: D
The correct process for building a pipeline to process time-series data. Here's how each of the components is used:
- Cloud Pub/Sub: receives and distributes time-series data from different sources.
- Cloud Dataflow: processes the data by applying transformations and analytics.
- Cloud Bigtable: stores and manages the processed data as a NoSQL database.
- BigQuery: provides a SQL-like interface to analyze the data and extract insights.
By combining these components, you can create a scalable and reliable pipeline to process and analyze time-series data in real time.
👍 12Buruguduystunstugudunstuy2023/02/18 IoT = Unstructured data -> eliminated Datastore + Timeseries requirement = BigTable Ingestion point = Pub/Sub (Firebase messaging is a push notification service to client) Process data + realtime or batch = Data flow Analytics = BigQuery Hence D.
👍 3bamosk2022/06/19
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