In Looker Studio, what is the purpose of publishing a report to the web?

To create a downloadable PDF version of the report

To allow anyone to edit the report

To make the report appear in Google Search results

To allow anyone with the link to view the report without signing in

A data provider wants to share a BigQuery dataset with multiple customers using BigQuery Analytics Hub. The provider wants to ensure that each customer can only see their own data (e.g., customer-specific rows). The dataset contains a 'customer_id' column. What is the recommended approach?

Create a single listing with a view that uses the current user's email to filter data.

Create a separate listing for each customer, with a view that filters by customer_id, and add each customer's project to the exchange.

Create a separate exchange for each customer and share the dataset directly.

Create a single listing with the entire dataset and rely on the customer to filter by customer_id.

A data provider wants to publish a BigQuery dataset to a restricted set of known customers. They want to use BigQuery Analytics Hub. What is the recommended way to control access to the listing?

Share the dataset directly with the customers' Google accounts using IAM.

Create a public exchange and rely on the listing's IAM permissions to restrict access.

Create a listing in a private exchange and share the listing URL with the customers.

Create a private exchange and add the customers' Google Cloud projects as subscribers.

A data engineer wants to share a BigQuery dataset with external partners using BigQuery Analytics Hub. What is the first step to make the dataset available for sharing?

Export the dataset to Google Cloud Storage and share the bucket

Create a listing in an Analytics Hub exchange

Create a BigQuery view and share it with the partner

Grant the partner the bigquery.dataViewer role on the dataset

A data engineering team wants to share a curated BigQuery dataset with a partner organization. The partner does not have a Google Cloud project. The team needs the partner to be able to query the data using their own BigQuery account, and the team wants to revoke access easily if the partnership ends. What should the team do?

Add the partner's Google account as a BigQuery Job User on the project and share the dataset directly.

Create a BigQuery authorized view and share the underlying table with the partner's service account.

Export the dataset to Google Cloud Storage and share the bucket with the partner's Google account.

Create a BigQuery Analytics Hub listing in an exchange and share it with the partner's Google account.

Google CloudProfessional Data Engineer

Domain 4Objective 3

4.3 Sharing Data PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 2)

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 13 practice questions to prepare you well beyond it. (estimate)

13questions here

3free pages

4concepts

~15%of the exam

Questions 6–10

6foundation · easy
In Looker Studio, what is the purpose of publishing a report to the web?
Select an answer first
7expert · hard
A data provider wants to share a BigQuery dataset with multiple customers using BigQuery Analytics Hub. The provider wants to ensure that each customer can only see their own data (e.g., customer-specific rows). The dataset contains a 'customer_id' column. What is the recommended approach?
Select an answer first
8application · medium
A data provider wants to publish a BigQuery dataset to a restricted set of known customers. They want to use BigQuery Analytics Hub. What is the recommended way to control access to the listing?
Select an answer first
9foundation · easy
A data engineer wants to share a BigQuery dataset with external partners using BigQuery Analytics Hub. What is the first step to make the dataset available for sharing?
Select an answer first
10application · medium
A data engineering team wants to share a curated BigQuery dataset with a partner organization. The partner does not have a Google Cloud project. The team needs the partner to be able to query the data using their own BigQuery account, and the team wants to revoke access easily if the partnership ends. What should the team do?
Select an answer first

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