Exam Name: Associate Data Practitioner
Certification Provider: Google
Corresponding Certification: Google Cloud Certified
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Updated: Oct 10, 2026
No. of Questions: 66 Questions & Answers with Testing Engine
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- Total Questions: 66
- Updated on: Oct 10, 2026
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- Total Questions: 66
- Updated on: Oct 10, 2026
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Google ADP Exam Overview:
| Certification Vendor: | |
|---|---|
| Exam Name: | Google Cloud Associate Data Practitioner |
| Exam Number: | GCP-ADP |
| Related Certifications: | Google Cloud Professional Data Engineer Google Cloud Professional Data Analyst |
| Passing Score: | 70% |
| Available Languages: | Japanese, English |
| Exam Duration: | 120 minutes |
| Exam Price: | $125 USD |
| Real Exam Qty: | 50-60 |
| Exam Format: | Multiple choice, Multiple select |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Introduction to Data Engineering on Google Cloud Google Cloud Associate Data Practitioner Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored (remote) or onsite proctored at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended 6+ months hands-on experience working with data on Google Cloud |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-practitioner |
Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Pipeline Orchestration | 18% | - Transformation tools selection
|
| Topic 2: Data Preparation and Ingestion | 30% | - Storage solutions selection
|
| Topic 3: Data Analysis and Presentation | 27% | - Data exploration and analysis
|
| Topic 4: Data Management and Governance | 25% | - Compliance and governance
|
Your Google ADP Exam Questions, Answered
The Google ADP exam, officially titled Associate Data Practitioner, is the required test for earning the Associate Data Practitioner certification, a credential at the Associate level. Passing it validates the skills Google expects from certified professionals, and it can also support progress toward related credentials such as Google Cloud Professional Data Engineer, Google Cloud Professional Data Analyst.
The ADP exam includes 50-60 questions, and you have 120 minutes to complete it. Before exam day, divide the available time by the question count so you know the pace you need to hold, and practice flagging time-consuming items for review instead of stalling on a single question. Timed sessions in the NewPassLeader test engine are the easiest way to build that rhythm before it counts.
You need 70% to pass the ADP exam, and the official registration fee is $125 USD. Keep in mind that a failed attempt means paying that fee in full again for a retake, so avoid booking your seat on a hunch. Work through the NewPassLeader practice test until your scores sit comfortably above the passing requirement before you schedule the exam.
Google asks candidates to meet the following requirement before registering: No mandatory prerequisites; recommended 6+ months hands-on experience working with data on Google Cloud. Exam policies do change, so confirm the latest details on the official exam page at https://cloud.google.com/learn/certification/data-practitioner before you book.
You can book your seat through the official registration channels below:
The ADP exam is delivered in the following format: Online proctored (remote) or onsite proctored at authorized test centers.
Google recommends the following official training for this exam:
- Google Cloud Associate Data Practitioner Learning Path
- Introduction to Data Engineering on Google Cloud
A course builds the theory; practice turns it into exam-day performance. Once you finish a class, the 66 practice questions from NewPassLeader show you how the same knowledge appears in exam-style items.
Yes. NewPassLeader offers a free PDF demo of the Google Associate Data Practitioner practice questions, so you can judge the quality and format before purchasing. After you buy, your purchase includes 365 days of free updates; if the product expires after that period, you can extend the update service at a 50% discount from your member zone.
Every NewPassLeader order is covered by a 100% Money Back Guarantee. If you take the corresponding ADP exam within 60 days of purchase and do not pass, send a scan of your exam enrollment slip together with your official Score Report PDF within two days of the exam date, and your claim will be processed within seven days. The candidate name must match the payer name, and the guarantee does not apply if you take the exam within three days of purchase, if you downloaded the product but never took the exam, or to free materials and expired orders. If you would rather have fresh material than a refund, you can exchange your purchase for two additional exam products of equal value at no cost and keep the update service on your original product. Delivery itself is instant: your download is available right after payment and a copy is emailed to you within one minute — if nothing arrives within two hours, contact our support team. You may install the software on as many computers as you need.
The Google Associate Data Practitioner exam is organized into 4 major domains. Some of the key domains include:
- Data Pipeline Orchestration, accounting for 18% of the exam
- Data Preparation and Ingestion, accounting for 30% of the exam
- Data Analysis and Presentation, accounting for 27% of the exam
Scroll up to the Exam Topics section for the complete breakdown, and use it to plan how much study time each domain deserves.
Google Associate Data Practitioner Sample Questions:
You have a Dataproc cluster that performs batch processing on data stored in Cloud Storage. You need to schedule a daily Spark job to generate a report that will be emailed to stakeholders. You need a fully-managed solution that is easy to implement and minimizes complexity. What should you do?
- A. Use Cloud Composer to orchestrate the Spark job and email the report.
- B. Use Cloud Run functions to trigger the Spark job and email the report.
- C. Use Dataproc workflow templates to define and schedule the Spark job, and to email the report.
- D. Use Cloud Scheduler to trigger the Spark job. and use Cloud Run functions to email the report.
Correct Answer: C 🗳️
You are working on a data pipeline that will validate and clean incoming data before loading it into BigQuery for real-time analysis. You want to ensure that the data validation and cleaning is performed efficiently and can handle high volumes of dat a. What should you do?
- A. Use Dataflow to create a streaming pipeline that includes validation and transformation steps.
- B. Write custom scripts in Python to validate and clean the data outside of Google Cloud. Load the cleaned data into BigQuery.
- C. Load the raw data into BigQuery using Cloud Storage as a staging area, and use SQL queries in BigQuery to validate and clean the data.
- D. Use Cloud Run functions to trigger data validation and cleaning routines when new data arrives in Cloud Storage.
Correct Answer: A 🗳️
Your organization has several datasets in their data warehouse in BigQuery. Several analyst teams in different departments use the datasets to run queries. Your organization is concerned about the variability of their monthly BigQuery costs. You need to identify a solution that creates a fixed budget for costs associated with the queries run by each department. What should you do?
- A. Assign each analyst to a separate project associated with their department. Create a single reservation by using BigQuery editions. Assign all projects to the reservation.
- B. Create a single reservation by using BigQuery editions. Assign all analysts to the reservation.
- C. Create a custom quota for each analyst in BigQuery.
- D. Assign each analyst to a separate project associated with their department. Create a single reservation for each department by using BigQuery editions. Create assignments for each project in the appropriate reservation.
Correct Answer: D 🗳️
You are migrating data from a legacy on-premises MySQL database to Google Cloud. The database contains various tables with different data types and sizes, including large tables with millions of rows and transactional dat a. You need to migrate this data while maintaining data integrity, and minimizing downtime and cost. What should you do?
- A. Export the MySQL database to CSV files, transfer the files to Cloud Storage by using Storage Transfer Service, and load the files into a Cloud SQL for MySQL instance.
- B. Use Database Migration Service to replicate the MySQL database to a Cloud SQL for MySQL instance.
- C. Set up a Cloud Composer environment to orchestrate a custom data pipeline. Use a Python script to extract data from the MySQL database and load it to MySQL on Compute Engine.
- D. Use Cloud Data Fusion to migrate the MySQL database to MySQL on Compute Engine.
Correct Answer: B 🗳️
You work for a home insurance company. You are frequently asked to create and save risk reports with charts for specific areas using a publicly available storm event dataset. You want to be able to quickly create and re- run risk reports when new data becomes available. What should you do?
- A. Reference and query the storm event dataset using SQL in BigQuery Studio. Export the results to Google Sheets, and use cell data in the worksheets to create charts.
- B. Reference and query the storm event dataset using SQL in a Colab Enterprise notebook. Display the table results and document with Markdown, and use Matplotlib to create charts.
- C. Export the storm event dataset as a CSV file. Import the file to Google Sheets, and use cell data in the worksheets to create charts.
- D. Copy the storm event dataset into your BigQuery project. Use BigQuery Studio to query and visualize the data in Looker Studio.
Correct Answer: D 🗳️
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