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Updated: Sep 16, 2026
No. of Questions: 66 Questions & Answers with Testing Engine
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Google ADP Exam Overview:
| Certification Vendor: | |
|---|---|
| Exam Name: | Google Cloud Associate Data Practitioner |
| Exam Number: | GCP-ADP |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Related Certifications: | Google Cloud Professional Data Analyst Google Cloud Professional Data Engineer |
| Available Languages: | Japanese, English |
| Passing Score: | 70% |
| Exam Format: | Multiple choice, Multiple select |
| Real Exam Qty: | 50-60 |
| Exam Price: | $125 USD |
| Recommended Training: | Introduction to Data Engineering on Google Cloud Google Cloud Associate Data Practitioner Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google ADP Sample Questions |
| 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 Management and Governance | 25% | - Data security and access control
|
| Topic 2: Data Pipeline Orchestration | 18% | - Transformation tools selection
|
| Topic 3: Data Preparation and Ingestion | 30% | - Storage solutions selection
|
| Topic 4: Data Analysis and Presentation | 27% | - Data visualization and reporting
|
Google Associate Data Practitioner Sample Questions:
Your organization has a petabyte of application logs stored as Parquet files in Cloud Storage. You need to quickly perform a one- time SQL-based analysis of the files and join them to data that already resides in BigQuery. What should you do?
- A. Launch a Cloud Data Fusion environment, use plugins to connect to BigQuery and Cloud Storage, and use the SQL join operation to analyze the data.
- B. Create a Dataproc cluster, and write a PySpark job to join the data from BigQuery to the files in Cloud Storage.
- C. Use the bq load command to load the Parquet files into BigQuery, and perform SQL joins to analyze the data.
- D. Create external tables over the files in Cloud Storage, and perform SQL joins to tables in BigQuery to analyze the data.
Correct Answer: D 🗳️
Your organization has decided to move their on-premises Apache Spark-based workload to Google Cloud.
You want to be able to manage the code without needing to provision and manage your own cluster. What should you do?
- A. Migrate the Spark jobs to Dataproc on Google Kubernetes Engine.
- B. Migrate the Spark jobs to Dataproc on Compute Engine.
- C. Configure a Google Kubernetes Engine cluster with Spark operators, and deploy the Spark jobs.
- D. Migrate the Spark jobs to Dataproc Serverless.
Correct Answer: D 🗳️
Your company currently uses an on-premises network file system (NFS) and is migrating data to Google Cloud. You want to be able to control how much bandwidth is used by the data migration while capturing detailed reporting on the migration status. What should you do?
- A. Use a Transfer Appliance.
- B. Use Storage Transfer Service.
- C. Use gcloud storage commands.
- D. Use Cloud Storage FUSE.
Correct Answer: B 🗳️
Your organization plans to move their on-premises environment to Google Cloud. Your organization's network bandwidth is less than 1 Gbps. You need to move over 500 ## of data to Cloud Storage securely, and only have a few days to move the dat a. What should you do?
- A. Connect to Google Cloud using VPN. Use the gcloud storage command to move the data to Cloud Storage.
- B. Connect to Google Cloud using Dedicated Interconnect. Use the gcloud storage command to move the data to Cloud Storage.
- C. Request multiple Transfer Appliances, copy the data to the appliances, and ship the appliances back to Google Cloud to upload the data to Cloud Storage.
- D. Connect to Google Cloud using VPN. Use Storage Transfer Service to move the data to Cloud Storage.
Correct Answer: C 🗳️
Your organization is building a new application on Google Cloud. Several data files will need to be stored in Cloud Storage. Your organization has approved only two specific cloud regions where these data files can reside. You need to determine a Cloud Storage bucket strategy that includes automated high availability.
What should you do?
- A. Create a dual-region bucket, and upload the files to this bucket.
- B. Create a multi-region bucket, and upload the files to this bucket.
- C. Create a single-region bucket in each of the two regions, and use the gcloud storage command to replicate the data across the buckets in both regions.
- D. Create a single-region bucket in each of the two regions, and use Storage Transfer Service to replicate the data across the buckets in both regions.
Correct Answer: A 🗳️
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