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Last Updated: Oct 10, 2026
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Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Management and Governance | 25% | - Data security and access control
|
| Topic 2: Data Preparation and Ingestion | 30% | - Data extraction and transfer tools
|
| Topic 3: Data Analysis and Presentation | 27% | - Data exploration and analysis
|
| Topic 4: Data Pipeline Orchestration | 18% | - Transformation tools selection
|
Google Associate Data Practitioner Sample Questions:
You are developing a data ingestion pipeline to load small CSV files into BigQuery from Cloud Storage. You want to load these files upon arrival to minimize data latency. You want to accomplish this with minimal cost and maintenance. What should you do?
- A. Create a Dataproc cluster to pull CSV files from Cloud Storage, process them using Spark, and write the results to BigQuery.
- B. Create a Cloud Run function to load the data into BigQuery that is triggered when data arrives in Cloud Storage.
- C. Create a Cloud Composer pipeline to load new files from Cloud Storage to BigQuery and schedule it to run every 10 minutes.
- D. Use the bq command-line tool within a Cloud Shell instance to load the data into BigQuery.
Correct Answer: B 🗳️
Your company has an on-premises file server with 5 TB of data that needs to be migrated to Google Cloud.
The network operations team has mandated that you can only use up to 250 Mbps of the total available bandwidth for the migration. You need to perform an online migration to Cloud Storage. What should you do?
- A. Use the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the -- daisy-chain option.
- B. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google Cloud.
- C. Use the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the --no- clobber option.
- D. Use Storage Transfer Service to configure an agent-based transfer. Set the appropriate bandwidth limit for the agent pool.
Correct Answer: D 🗳️
Your organization has decided to migrate their existing enterprise data warehouse to BigQuery. The existing data pipeline tools already support connectors to BigQuery. You need to identify a data migration approach that optimizes migration speed. What should you do?
- A. Create a temporary file system to facilitate data transfer from the existing environment to Cloud Storage. Use Storage Transfer Service to migrate the data into BigQuery.
- B. Use the existing data pipeline tool's BigQuery connector to reconfigure the data mapping.
- C. Use the BigQuery Data Transfer Service to recreate the data pipeline and migrate the data into BigQuery.
- D. Use the Cloud Data Fusion web interface to build data pipelines. Create a directed acyclic graph (DAG) that facilitates pipeline orchestration.
Correct Answer: B 🗳️
Your organization uses a BigQuery table that is partitioned by ingestion time. You need to remove data that is older than one year to reduce your organization's storage costs. You want to use the most efficient approach while minimizing cost. What should you do?
- A. Set the table partition expiration period to one year using the ALTER TABLE statement in SQL.
- B. Create a scheduled query that periodically runs an update statement in SQL that sets the "deleted" column to "yes" for data that is more than one year old. Create a view that filters out rows that have been marked deleted.
- C. Create a view that filters out rows that are older than one year.
- D. Require users to specify a partition filter using the alter table statement in SQL.
Correct Answer: A 🗳️
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 five different Explores with thesql_always_filterExplore filter applied on theregion_namedimension. Set eachregion_namevalue to the corresponding region for each manager.
- C. Create separate Looker dashboards for each regional manager. Set the default dashboard filter to the corresponding region for each manager.
- D. Add anaccess_filterExplore filter on theregion_namedimension by using thesales_regionuser attribute.
Correct Answer: A 🗳️
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