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, PrepPDF 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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  • Exam Code: ADP
  • Exam Name: Associate Data Practitioner
  • Certification Provider: Google
  • Corresponding Certification: Google Cloud Certified
  • Updated: Aug 15, 2026
  • No. of Questions: 66 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Data Processing and Analytics20-30%- Build and maintain data pipelines
- Apply statistical methods for analysis
- Query and analyze datasets
- Use BigQuery and SQL for analytics
- Aggregate and summarize data
Data Visualization and Insights20-30%- Present data insights to stakeholders
- Interpret and communicate findings
- Build visualizations using Looker Studio
- Choose appropriate visualization types
- Create dashboards and reports
Data-Driven Decision Making10-20%- Translate business requirements into data solutions
- Define success metrics
- Assess data quality and completeness
- Identify stakeholders and requirements
Data Preparation and Exploration20-30%- Perform exploratory data analysis (EDA)
- Ingest and acquire data
- Identify data quality issues
- Explore data through visualization and queries
- Transform and prepare data for analysis

Google Associate Data Practitioner Sample Questions:

1. Your organization has a BigQuery dataset that contains sensitive employee information such as salaries and performance reviews. The payroll specialist in the HR department needs to have continuous access to aggregated performance data, but they do not need continuous access to other sensitive dat a. You need to grant the payroll specialist access to the performance data without granting them access to the entire dataset using the simplest and most secure approach. What should you do?

A) Create a table with the aggregated performance data. Use table-level permissions to grant access to the payroll specialist.
B) Use authorized views to share query results with the payroll specialist.
C) Create a SQL query with the aggregated performance data. Export the results to an Avro file in a Cloud Storage bucket. Share the bucket with the payroll specialist.
D) Create row-level and column-level permissions and policies on the table that contains performance data in the dataset. Provide the payroll specialist with the appropriate permission set.


2. Your company wants to implement a data transformation (ETL) pipeline for their BigQuery data warehouse.
You need to identify a managed transformation solution that allows users to develop with SQL and JavaScript, has version control, allows for modular code, and has data quality checks. What should you do?

A) Use Dataform to define the transformations in SQLX.
B) Use Dataproc to create an Apache Spark cluster and implement the transformations by using PySpark SQL.
C) Create a Cloud Composer environment, and orchestrate the transformations by using the BigQueryinsertJob operator.
D) Create BigQuery scheduled queries to define the transformations in SQL.


3. You need to create a data pipeline that streams event information from applications in multiple Google Cloud regions into BigQuery for near real-time analysis. The data requires transformation before loading. You want to create the pipeline using a visual interface. What should you do?

A) Push event information to Cloud Storage, and create an external table in BigQuery. Create a BigQuery scheduled job that executes once each day to apply transformations.
B) Push event information to a Pub/Sub topic. Create a Dataflow job using the Dataflow job builder.
C) Push event information to a Pub/Sub topic. Create a Cloud Run function to subscribe to the Pub/Sub topic, apply transformations, and insert the data into BigQuery.
D) Push event information to a Pub/Sub topic. Create a BigQuery subscription in Pub/Sub.


4. You manage a Cloud Storage bucket that stores temporary files created during data processing. These temporary files are only needed for seven days, after which they are no longer needed. To reduce storage costs and keep your bucket organized, you want to automatically delete these files once they are older than seven days. What should you do?

A) Create a Cloud Run function that runs daily and deletes files older than seven days.
B) Configure a Cloud Storage lifecycle rule that automatically deletes objects older than seven days.
C) Set up a Cloud Scheduler job that invokes a weekly Cloud Run function to delete files older than seven days.
D) Develop a batch process using Dataflow that runs weekly and deletes files based on their age.


5. You created a curated dataset of market trends in BigQuery that you want to share with multiple external partners. You want to control the rows and columns that each partner has access to. You want to follow Google-recommended practices. What should you do?

A) Create a separate Cloud Storage bucket for each partner. Export the dataset to each bucket and assign each partner to their respective bucket. Grant bucket-level access by using 1AM roles.
B) Create a separate project for each partner and copy the dataset into each project. Publish each dataset in Analytics Hub. Grant dataset-level access to each partner by using subscriptions.
C) Grant each partner read access to the BigQuery dataset by using 1AM roles.
D) Publish the dataset in Analytics Hub. Grant dataset-level access to each partner by using subscriptions.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: A
Question # 3
Answer: B
Question # 4
Answer: B
Question # 5
Answer: D

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