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Associate-Data-Practitioner Dumps - Google Cloud Associate Data Practitioner (ADP Exam) Practice Exam Questions

Google Associate-Data-Practitioner - Google Cloud Associate Data Practitioner (ADP Exam) Braindumps

Google Associate-Data-Practitioner - Google Cloud Platform Practice Exam

  • Certification Provider:Google
  • Exam Code:Associate-Data-Practitioner
  • Exam Name:Google Cloud Associate Data Practitioner (ADP Exam)
  • Certification Name:Google Cloud Platform
  • Total Questions:106 Questions and Answers With Detailed Explanations
  • Updated on:Based on the current Associate-Data-Practitioner exam blueprint. Updated on Dec 27, 2025
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Google Associate-Data-Practitioner This Week Results

Associate-Data-Practitioner Question and Answers

Question # 1

You are a database administrator managing sales transaction data by region stored in a BigQuery table. You need to ensure that each sales representative can only see the transactions in their region. What should you do?

Options:

A.  

Add a policy tag in BigQuery.

B.  

Create a row-level access policy.

C.  

Create a data masking rule.

D.  

Grant the appropriate 1AM permissions on the dataset.

Discussion 0
Question # 2

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.

Discussion 0
Question # 3

You are storing data in Cloud Storage for a machine learning project. The data is frequently accessed during the model training phase, minimally accessed after 30 days, and unlikely to be accessed after 90 days. You need to choose the appropriate storage class for the different stages of the project to minimize cost. What should you do?

Options:

A.  

Store the data in Nearline storage during the model training phase. Transition the data to Coldline storage 30 days after model deployment, and to Archive storage 90 days after model deployment.

B.  

Store the data in Standard storage during the model training phase. Transition the data to Nearline storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.

C.  

Store the data in Nearline storage during the model training phase. Transition the data to Archive storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.

D.  

Store the data in Standard storage during the model training phase. Transition the data to Durable Reduced Availability (DRA) storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.

Discussion 0

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Associate-Data-Practitioner FAQs

This certification validates your foundational knowledge of cloud-based data practices, including analytics, storage, data visualization, and governance on Google Cloud. It’s a great starting point for aspiring cloud data professionals.

Beginners in cloud, data analysts, business users, and students looking to start a career in cloud data roles will benefit the most. No prior Google Cloud experience is required.

With over 80% of companies adopting cloud solutions, data practitioners who understand cloud environments are in high demand. Google Cloud's market share is growing, opening up global opportunities.

Yes! It’s designed for entry-level candidates. Even if you're new to cloud technologies, the exam structure and syllabus are approachable with guided preparation—especially with Exams4sure’s tailored content.

Exams4sure offers accurately simulated practice tests, real exam questions, and updated study material that aligns perfectly with Google’s latest exam blueprint.

Topics include data analysis concepts, storage options in Google Cloud, data pipelines, BigQuery, Looker Studio basics, and data security fundamentals.

The registration fee is $99 USD, making it one of the most affordable cloud certifications for beginners.

The certification is valid for three years, after which you’ll need to recertify to stay up-to-date with new technologies.

Absolutely! Our quick revision kits, mock tests, and real-exam-style dumps make last-minute prep super effective and stress-free.

While free resources provide basic info, Exams4sure offers verified, exam-like content, designed by certified professionals with years of industry and training experience.

Yes. Many of our students report a 90%+ similarity between our practice questions and their real exam experience.

Slot allocation governance and query cost optimization concepts are explained through practical scenarios using Exams4sure resources for production scale analytics tuning.

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This was the perfect starting point to shift my career from admin to analytics.

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