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Google Associate-Data-Practitioner Exam With Confidence Using Practice Dumps

Exam Code:
Associate-Data-Practitioner
Exam Name:
Google Cloud Associate Data Practitioner (ADP Exam)
Certification:
Vendor:
Questions:
106
Last Updated:
Jul 15, 2025
Exam Status:
Stable
Google Associate-Data-Practitioner

Associate-Data-Practitioner: Google Cloud Platform Exam 2025 Study Guide Pdf and Test Engine

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Google Cloud Associate Data Practitioner (ADP Exam) Questions and Answers

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?

Options:

A.

Use Cloud Data Fusion pipelines.

B.

Use Dataform workflows.

C.

Use Dataflow pipelines.

D.

Use Cloud Composer operators.

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Question 2

Your retail company collects customer data from various sources:

Online transactions: Stored in a MySQL database

Customer feedback: Stored as text files on a company server

Social media activity: Streamed in real-time from social media platforms

You are designing a data pipeline to extract this data. Which Google Cloud storage system(s) should you select for further analysis and ML model training?

Options:

A.

1. Online transactions: Cloud Storage

2. Customer feedback: Cloud Storage

3. Social media activity: Cloud Storage

B.

1. Online transactions: BigQuery

2. Customer feedback: Cloud Storage

3. Social media activity: BigQuery

C.

1. Online transactions: Bigtable

2. Customer feedback: Cloud Storage

3. Social media activity: CloudSQL for MySQL

D.

1. Online transactions: Cloud SQL for MySQL

2. Customer feedback: BigQuery

3. Social media activity: Cloud Storage

Question 3

You are a data analyst at your organization. You have been given a BigQuery dataset that includes customer information. The dataset contains inconsistencies and errors, such as missing values, duplicates, and formatting issues. You need to effectively and quickly clean the data. What should you do?

Options:

A.

Develop a Dataflow pipeline to read the data from BigQuery, perform data quality rules and transformations, and write the cleaned data back to BigQuery.

B.

Use Cloud Data Fusion to create a data pipeline to read the data from BigQuery, perform data quality transformations, and write the clean data back to BigQuery.

C.

Export the data from BigQuery to CSV files. Resolve the errors using a spreadsheet editor, and re-import the cleaned data into BigQuery.

D.

Use BigQuery's built-in functions to perform data quality transformations.