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Performing Smart Analytics and AI on GCP: Where Do You Write SQL in BigQuery Web UI?

Learn where to write SQL in the BigQuery Web UI for Google Cloud Platform. Understand the role of the Query Editor and how it facilitates running SQL queries efficiently.

Table of Contents

Question

In what section of the BigQuery Web UI would you write SQL?

A. The Details Panel
B. The Query Editor
C. The Query History
D. The Job History

Answer

B. The Query Editor

Explanation

In the BigQuery Web UI, SQL queries are written in the Query Editor. This is the dedicated section where users can compose, edit, and execute SQL commands to interact with their datasets. The Query Editor provides a user-friendly interface for managing queries and accessing advanced features like syntax highlighting and query validation.

Here’s a breakdown of why B. The Query Editor is correct:

Purpose of the Query Editor: It is specifically designed for writing and running SQL queries. It allows users to interact with their datasets by composing queries that retrieve, manipulate, or analyze data.

Other Options Explained:

  • A. The Details Panel: This section displays metadata about datasets, tables, or jobs but does not allow query composition.
  • C. The Query History: This logs previously executed queries but does not provide a space to write new ones.
  • D. The Job History: This shows the status of completed or ongoing jobs but is unrelated to query writing.

To access the Query Editor:

  1. Open the BigQuery page in the Google Cloud Console.
  2. Click on “Compose a New Query” to open the editor.
  3. Write your SQL commands directly in this space and execute them by clicking “Run”.

Performing Smart Analytics and AI on Google Cloud Platform skill assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Performing Smart Analytics and AI on Google Cloud Platform exam and earn Performing Smart Analytics and AI on Google Cloud Platform certification.