Google Associate Data Practitioner Exam Questions - Navigate Your Path to Success

The Google Cloud Associate Data Practitioner (Associate Data Practitioner) exam is a good choice for Google Data Analysts Google Data Engineers and if the candidate manages to pass Google Cloud Associate Data Practitioner exam, he/she will earn Google Cloud Certified, Google Data Practitioner Certifications. Below are some essential facts for Google Associate Data Practitioner exam candidates:

In actual Google Cloud Associate Data Practitioner (Associate Data Practitioner) exam, a candidate can expect 50 Questions and the officially allowed time is expected to be around 120 Minutes.
TrendyCerts offers 72 Questions that are based on actual Google Associate Data Practitioner syllabus.
Our Google Associate Data Practitioner Exam Practice Questions were last updated on: Mar 03, 2025

Sample Questions for Google Associate Data Practitioner Exam Preparation

Question 1

Your company is migrating their batch transformation pipelines to Google Cloud. You need to choose a solution that supports programmatic transformations using only SQL. You also want the technology to support Git integration for version control of your pipelines. What should you do?

AUse Cloud Data Fusion pipelines.

BUse Dataform workflows.

CUse Dataflow pipelines.

DUse Cloud Composer operators.

Correct : B

Dataform workflows are the ideal solution for migrating batch transformation pipelines to Google Cloud when you want to perform programmatic transformations using only SQL. Dataform allows you to define SQL-based workflows for data transformations and supports Git integration for version control, enabling collaboration and version tracking of your pipelines. This approach is purpose-built for SQL-driven data pipeline management and aligns perfectly with your requirements.

Options Selected by Other Users:

Question 2

You manage a BigQuery table that is used for critical end-of-month reports. The table is updated weekly with new sales dat

a. You want to prevent data loss and reporting issues if the table is accidentally deleted. What should you do?

AConfigure the time travel duration on the table to be exactly seven days. On deletion, re-create the deleted table solely from the time travel data.

BSchedule the creation of a new snapshot of the table once a week. On deletion, re-create the deleted table using the snapshot and time travel data.

CCreate a clone of the table. On deletion, re-create the deleted table by copying the content of the clone.

DCreate a view of the table. On deletion, re-create the deleted table from the view and time travel data.

Correct : B

Scheduling the creation of a snapshot of the table weekly ensures that you have a point-in-time backup of the table. In case of accidental deletion, you can re-create the table from the snapshot. Additionally, BigQuery's time travel feature allows you to recover data from up to seven days prior to deletion. Combining snapshots with time travel provides a robust solution for preventing data loss and ensuring reporting continuity for critical tables. This approach minimizes risks while offering flexibility for recovery.