Objective 2.1

ADP

Identify data trends, patterns, and insights by using BigQuery and Jupyter notebooks

Objective 2.1 sits in Data Analysis and Presentation, which carries 27% of the Associate Data Practitioner 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.

2-1Data Analysis and Presentation

Which languages does BigQuery's serverless architecture let you use to query data with no infrastructure to manage?

Only GoBigQuery offers a Go client library, so 'only Go' understates its query language options.
Only RR connects through a package, yet it is far from the only choice for BigQuery.
Only JavaJava is one of several client libraries, and querying is not restricted to it alone.
SQL and PythonCorrect · your answerCorrect.

Correct.

Concept

A serverless analytics engine exposes familiar query languages so analysts avoid managing servers. Language support shapes who can use the platform directly.

Why D

BigQuery lets you use languages like SQL and Python with zero infrastructure management.

Source

BigQuery's serverless architecture lets you use languages like SQL and Python to answer your organization's biggest questions with zero infrastructure management.

Google Cloud, BigQuery overview, checked August 2026
#2-1

Now you: objective 2.1 questions

No account needed. The explanation opens when you answer.

Sample question 1 of 3

2-1Data Analysis and Presentation

A team must share reproducible analysis code and outputs with colleagues who will edit it together. Which Colab Enterprise capability supports this?

Sample question 2 of 3

2-1Data Analysis and Presentation

In BigQuery, which query language do you use to define and run reports that extract insights?

Sample question 3 of 3

2-1Data Analysis and Presentation

An analyst wants to explore and visualize BigQuery results in a managed notebook without setting up infrastructure. Which product provides this?

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Read the sources

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