FirstTry

Objective 4.3

PDE

Sharing data

Objective 4.3 sits in Preparing and using data for analysis, which carries 15% of the Data Engineer exam. The questions below are original, written from the official objective title above, and each explanation cites the Google Cloud page it rests on.

Objective title verbatim from the official objectives. Google Cloud exam page ↗

A worked example

Shown solved, with the whole explanation open: this is what every question here carries.

4-3Preparing and using data for analysis

A team subscribes to a listing that shares a BigQuery dataset from another organization. What appears in the team's own project?

A read-only linked dataset pointing at the sourceCorrect · your answerCorrect. A pointer, never a duplicate.
A scheduled copy refreshed every hourNo replication schedule is created by subscribing.
A materialized view over the shared tablesNothing is precomputed on the subscriber side.
A federated connection to the publisher projectQuerying does not route through a connection resource.

Correct.

Concept

Sharing without copying keeps one authoritative store and removes the drift duplication creates, at the price of the consumer never owning the bytes.

Why A

A linked dataset is a read-only BigQuery dataset that points at the shared dataset. Subscribing creates that pointer rather than a copy, so subscribers read the data but cannot add or update objects.

Source

A linked dataset is a read-only BigQuery dataset that serves as a pointer or reference to a shared dataset. Subscribing to a listing creates a linked dataset in your project and not a copy of the dataset, so subscribers can read the data but cannot add or update objects within it.

Google Cloud: Introduction to BigQuery sharing, checked August 2026
#gcp#bigquery#data-sharing#linked-datasets

Now you: objective 4.3 questions

No account needed. The explanation opens when you answer.

Sample question 1 of 3

4-3Preparing and using data for analysis

An engineer subscribes to a listing and asks what further grants the subscribing analysts need on the publisher's tables and views. What is required?

Sample question 2 of 3

4-3Preparing and using data for analysis

A company publishes a dataset and turns on data egress restriction for the listing. Which operation can a subscriber no longer perform?

Sample question 3 of 3

4-3Preparing and using data for analysis

A company plans to publish one dataset to a large partner network and asks how many subscriptions a single shared dataset supports. What is the ceiling?

Full Data Engineer question bank coming

We’re writing the complete bank from the official objectives right now. Leave your email and we’ll tell you when it ships, nothing else, ever.

Read the sources

These are the official pages the questions above cite. Reading them is studying the objective from the primary source, which is what the explanations point you toward anyway.

More objectives in Preparing and using data for analysis