Google Cloud Professional Data Engineer Exam 2025 – 400 Free Practice Questions to Pass the Exam

Using Google Data Studio or Looker is ideal for visualizing data sourced from Google Cloud because both tools are designed specifically for creating interactive dashboards and reports that enable data exploration. They offer a user-friendly interface for pulling in data from various sources, including Google Cloud services, and allow for the creation of customizable visualizations to present insights effectively.

Google Data Studio is particularly known for its free access and collaborative features, enabling teams to share dashboards easily and work together in real-time. Looker, on the other hand, offers robust business intelligence capabilities and is well-suited for organizations looking to conduct in-depth data analysis and integrate insights into workflows.

While Google Cloud Functions and Google Cloud Storage are important components of Google Cloud, they serve fundamentally different purposes. Cloud Functions is a serverless execution environment for running code in response to events, while Cloud Storage is designed for storing large amounts of unstructured data. Google BigQuery, although a powerful data warehouse solution for querying and analyzing large datasets, is primarily used for data manipulation rather than visualization. It does not directly provide visualization options but can integrate with tools like Data Studio or Looker to display the analytics visually. Thus, utilizing Data Studio or Looker is the most effective approach for visualizing data sourced from Google Cloud