Associate Data Practitioner: ADP Exam
"Associate Data Practitioner", also known as ADP exam, is a Google Certification. With the complete collection of questions and answers, iPassleader has assembled to take you through 66 Q&As to your ADP Exam preparation. In the ADP exam resources, you will cover every field and category in Google Cloud Certified Certification helping to ready you for your successful Google Certification.
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- Updated on: Sep 07, 2026
- No. of Questions: 66 Questions & Answers
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- Updated on: Sep 07, 2026
- No. of Questions: 66 Questions & Answers
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Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Preparation and Exploration | 20-30% | - Explore data through visualization and queries - Ingest and acquire data - Identify data quality issues - Perform exploratory data analysis (EDA) - Transform and prepare data for analysis |
| Data Visualization and Insights | 20-30% | - Build visualizations using Looker Studio - Create dashboards and reports - Present data insights to stakeholders - Interpret and communicate findings - Choose appropriate visualization types |
| Data Processing and Analytics | 20-30% | - Use BigQuery and SQL for analytics - Apply statistical methods for analysis - Aggregate and summarize data - Build and maintain data pipelines - Query and analyze datasets |
| Data-Driven Decision Making | 10-20% | - Translate business requirements into data solutions - Assess data quality and completeness - Define success metrics - Identify stakeholders and requirements |
Google Associate Data Practitioner Sample Questions:
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?
A. Use Dataform workflows.
B. Use Dataflow pipelines.
C. Use Cloud Data Fusion pipelines.
D. Use Cloud Composer operators.
Question 2
You have created a LookML model and dashboard that shows daily sales metrics for five regional managers to use. You want to ensure that the regional managers can only see sales metrics specific to their region. You need an easy-to-implement solution. What should you do?
A. Create asales_regionuser attribute, and assign each manager's region as the value of their user attribute.
B. Create separate Looker dashboards for each regional manager. Set the default dashboard filter to the corresponding region for each manager.
C. Add anaccess_filterExplore filter on theregion_namedimension by using thesales_regionuser attribute.
D. Create five different Explores with thesql_always_filterExplore filter applied on theregion_namedimension. Set eachregion_namevalue to the corresponding region for each manager.
Question 3
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.
Question 4
You need to transfer approximately 300 TB of data from your company's on-premises data center to Cloud Storage. You have 100 Mbps internet bandwidth, and the transfer needs to be completed as quickly as possible. What should you do?
A. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google.
B. Compress the data, upload it to multiple cloud storage providers, and then transfer the data to CloudStorage.
C. Use Cloud Client Libraries to transfer the data over the internet.
D. Use the gcloud storage command to transfer the data over the internet.
Question 5
Your organization has highly sensitive data that gets updated once a day and is stored across multiple datasets in BigQuery. You need to provide a new data analyst access to query specific data in BigQuery while preventing access to sensitive dat a. What should you do?
A. Grant the data analyst the BigQuery Job User IAM role in the Google Cloud project.
B. Grant the data analyst the BigQuery Data Viewer IAM role in the Google Cloud project.
C. Create a new Google Cloud project, and copy the limited data into a BigQuery table. Grant the data analyst the BigQuery Data Owner IAM role in the new Google Cloud project.
D. Create a materialized view with the limited data in a new dataset. Grant the data analyst BigQuery Data Viewer IAM role in the dataset and the BigQuery Job User IAM role in the Google Cloud project.
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: D |
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