What is the principle of least privilege in the context of BigQuery IAM?

Granting permissions at the project level only

Granting users only the permissions they need to perform their job functions

Granting permissions to the visualization tool, not the user

Granting all users the same level of access for simplicity

What is the purpose of Cloud Data Loss Prevention (DLP)?

To manage IAM roles for BigQuery

To discover, classify, and protect sensitive data

To create visualizations of data

To accelerate query performance in BigQuery

How do you enable BigQuery BI Engine for a project?

By setting a flag in the BigQuery dataset

By enabling the BigQuery API only

By creating a reservation in the BI Engine API

By installing a connector in the BI tool

What is a key benefit of using materialized views in BigQuery?

Eliminating the need for partitioning and clustering

Reducing cost and improving performance for repeated analytical queries

Allowing users to bypass IAM permissions

Automatically creating dashboards for users

Google CloudProfessional Data Engineer

Domain 4Objective 1

4.1 Preparing Data for Visualization PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 5)

Part of the Preparing and using data for analysis domain, which accounts for ~15% of the PROFESSIONAL-DATA-ENGINEER exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~8–12 in this domain), expect 3–4 from this objective — we provide 24 practice questions to prepare you well beyond it. (estimate)

24questions here

5free pages

7concepts

~15%of the exam

Questions 21–24

21foundation · easy
What is the principle of least privilege in the context of BigQuery IAM?
Select an answer first
22foundation · easy
What is the purpose of Cloud Data Loss Prevention (DLP)?
Select an answer first
23foundation · easy
How do you enable BigQuery BI Engine for a project?
Select an answer first
24foundation · easy
What is a key benefit of using materialized views in BigQuery?
Select an answer first

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