Streaming into BigQuery and visualizing results

What method is used to stream data into BigQuery?

• Load job

• Batch insert

• Streaming inserts

• File upload

What is a key characteristic of streaming inserts in BigQuery?

• Insert multiple items at a time

• Insert one item at a time

• Only used for batch processing

• Does not require schema definition

Where is the data held briefly before being inserted into a BigQuery table?

• Data warehouse

• Temporary table

• Streaming buffer

• Data lake

Which types of applications are suitable candidates for streaming data?

• Applications that require exact data order

• Applications that can tolerate late or missing data

• Applications that cannot handle duplicated data

• Applications with strict data consistency requirements

What must be considered due to the unbounded nature of streaming data?

• Data storage costs

• Streaming quotas

• Schema design

• Data encryption

What is the maximum throughput for the preferred Storage Write API in a multi-region?

• 300 MB per second

• 3 GB per second

• 1 GB per second

• 500 MB per second

When should you prefer batch loading over streaming data into BigQuery?

• When immediate data availability is required

• When data consistency is not a concern

• When cost efficiency is a priority

• When handling large volumes of data infrequently

What tool can be used to visualize streaming data in BigQuery?

• Data Studio

• Looker Studio

• Tableau

• Excel

What is a significant advantage of using BI Engine with BigQuery?

• It reduces storage costs

• Provides sub-second query response times

• Automatically creates OLAP cubes

• Eliminates the need for data warehousing

What is a potential risk when sharing Looker Studio reports with added data sources?

• Increased data processing time

• Limited access to data fields

• Others viewing the report can see all the data in the added sources

• Reduced data visualization options