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Google ADP dumps - in .pdf
- Exam Code: ADP
- Exam Name: Associate Data Practitioner
- Updated: Oct 05, 2026
- Q & A: 66 Questions and Answers
- PDF Price: $59.99
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- Exam Code: ADP
- Exam Name: Associate Data Practitioner
- Updated: Oct 05, 2026
- Q & A: 66 Questions and Answers
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Google ADP dumps - Testing Engine
- Exam Code: ADP
- Exam Name: Associate Data Practitioner
- Updated: Oct 05, 2026
- Q & A: 66 Questions and Answers
- Software Price: $59.99
- Testing Engine
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Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data-Driven Decision Making | 10-20% | - Define success metrics - Identify stakeholders and requirements - Assess data quality and completeness - Translate business requirements into data solutions |
| Topic 2: Data Processing and Analytics | 20-30% | - Aggregate and summarize data - Query and analyze datasets - Use BigQuery and SQL for analytics - Build and maintain data pipelines - Apply statistical methods for analysis |
| Topic 3: Data Preparation and Exploration | 20-30% | - Perform exploratory data analysis (EDA) - Ingest and acquire data - Explore data through visualization and queries - Transform and prepare data for analysis - Identify data quality issues |
| Topic 4: Data Visualization and Insights | 20-30% | - Interpret and communicate findings - Build visualizations using Looker Studio - Present data insights to stakeholders - Create dashboards and reports - Choose appropriate visualization types |
Google Associate Data Practitioner Sample Questions:
Question #1
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. Use the gcloud storage command to transfer the data over the internet.
- B. Use Cloud Client Libraries to transfer the data over the internet.
- C. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google.
- D. Compress the data, upload it to multiple cloud storage providers, and then transfer the data to CloudStorage.
Correct Answer: C 🗳️
Question #2
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. Use Storage Transfer Service to configure an agent-based transfer. Set the appropriate bandwidth limit for the agent pool.
- C. Use the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the --no- clobber option.
- D. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google Cloud.
Correct Answer: B 🗳️
Question #3
You are designing a pipeline to process data files that arrive in Cloud Storage by 3:00 am each day. Data processing is performed in stages, where the output of one stage becomes the input of the next. Each stage takes a long time to run. Occasionally a stage fails, and you have to address the problem. You need to ensure that the final output is generated as quickly as possible. What should you do?
- A. Design the workflow as a Cloud Workflow instance. Code the workflow to jump to a given stage based on an input parameter. Rerun the workflow after correcting any stage output data errors.
- B. Design a Spark program that runs under Dataproc. Code the program to wait for user input when an error is detected. Rerun the last action after correcting any stage output data errors.
- C. Design the pipeline as a set of PTransforms in Dataflow. Restart the pipeline after correcting any stage output data errors.
- D. Design the processing as a directed acyclic graph (DAG) in Cloud Composer. Clear the state of the failed task after correcting any stage output data errors.
Correct Answer: D 🗳️
Question #4
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 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.
- 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 a table with the aggregated performance data. Use table-level permissions to grant access to the payroll specialist.
Correct Answer: B 🗳️
Question #5
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. Use Storage Transfer Service to configure an agent-based transfer. Set the appropriate bandwidth limit for the agent pool.
- C. Use the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the --no- clobber option.
- D. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google Cloud.
Correct Answer: B 🗳️
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