BigQuery can bring in other Google products because within the common big data processing model, BigQuery is found in the ____________ phases.

Question: BigQuery can bring in other Google products because within the common big data processing model, BigQuery is found in the ____________ phases.

  • Ingest and Storage
  • Apps and Devices
  • Storage and Analyze
  • Ingest and Process

Explanation

BigQuery is Google Cloud’s fully managed data warehouse for storing large datasets and running analytical SQL queries. In the common data lifecycle, it acts as the destination for organized analytical data and the service used to query that data for insights. It can integrate with other Google products through managed transfers and analytics workflows. This makes BigQuery central to data warehousing and analysis rather than device collection or raw processing.

Why the other options are incorrect

Ingest and Storage includes data movement, but BigQuery is not primarily the ingestion layer.

Apps and Devices refers to sources that create data, not the analytical warehouse role of BigQuery.

Ingest and Process aligns more closely with streaming, messaging, or pipeline services such as Pub/Sub and Cloud Dataflow.

Source for verification

https://cloud.google.com/bigquery/docs/introduction

https://cloud.google.com/bigquery/docs/dts-introduction

The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Cloud Platform Business Professional" page.

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