BigQuery for analytics in GCP - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is BigQuery in Google Cloud?

BigQuery is a fully managed data warehouse service that lets you run fast SQL queries on large datasets without managing servers.

beginner

How does BigQuery handle scaling for large data queries?

BigQuery automatically scales compute and storage resources to handle large queries, so you don't need to worry about infrastructure.

beginner

What is a BigQuery dataset?

A dataset is a container in BigQuery that holds tables and views. It helps organize your data within a project.

intermediate

What is the difference between a BigQuery table and a view?

A table stores actual data, while a view is a saved SQL query that shows data dynamically when accessed.

beginner

Why is BigQuery considered serverless?

Because you don't manage servers or infrastructure; Google handles all resource provisioning and scaling behind the scenes.

What language do you use to query data in BigQuery?

A Python

B SQL

C Java

D HTML

BigQuery uses SQL (Structured Query Language) to query data.

Which of the following best describes BigQuery's pricing model?

A Pay per server instance

B Fixed monthly fee regardless of usage

C Free for unlimited queries

D Pay only for the data you query and store

BigQuery charges based on the amount of data stored and the data processed by queries.

What is a BigQuery view?

A A saved SQL query that shows data dynamically

B A physical copy of data

C A type of storage bucket

D A user account

Views are saved queries that display data dynamically when accessed.

Which feature allows BigQuery to handle large datasets without manual scaling?

A Serverless architecture

B Manual server setup

C Local storage

D Fixed compute nodes

BigQuery's serverless design automatically scales resources as needed.

Where do you organize tables in BigQuery?

A In buckets

B In virtual machines

C In datasets

D In folders on your computer

Datasets are containers for tables and views in BigQuery.

Explain how BigQuery manages infrastructure for running large data queries.

Think about how you don't need to set up or manage servers.

Describe the difference between a BigQuery table and a view.

One holds data, the other shows data from a query.