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Google ADP valid exam - in .pdf Free Demo

  • Exam Code: ADP
  • Exam Name: Associate Data Practitioner
  • Last Updated: Sep 12, 2026
  • Q & A: 66 Questions and Answers
  • Convenient, easy to study. Printable Google ADP PDF Format. It is an electronic file format regardless of the operating system platform. 100% Money Back Guarantee.
  • PDF Price: $59.98    

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  • Exam Code: ADP
  • Exam Name: Associate Data Practitioner
  • Last Updated: Sep 12, 2026
  • Q & A: 66 Questions and Answers
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Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Visualization and Insights20-30%- Present data insights to stakeholders
- Choose appropriate visualization types
- Interpret and communicate findings
- Create dashboards and reports
- Build visualizations using Looker Studio
Topic 2: Data Processing and Analytics20-30%- Use BigQuery and SQL for analytics
- Apply statistical methods for analysis
- Query and analyze datasets
- Build and maintain data pipelines
- Aggregate and summarize data
Topic 3: Data Preparation and Exploration20-30%- Ingest and acquire data
- Identify data quality issues
- Perform exploratory data analysis (EDA)
- Explore data through visualization and queries
- Transform and prepare data for analysis
Topic 4: Data-Driven Decision Making10-20%- Identify stakeholders and requirements
- Translate business requirements into data solutions
- Assess data quality and completeness
- Define success metrics

Google Associate Data Practitioner Sample Questions:

Question #1

Your organization uses scheduled queries to perform transformations on data stored in BigQuery. You discover that one of your scheduled queries has failed. You need to troubleshoot the issue as quickly as possible. What should you do?

  • A. Set up a log sink using the gcloud CLI to export BigQuery audit logs to BigQuery. Query those logs to identify the error associated with the failed job I
  • B. Request access from your admin to the BigQuery information_schema. Query the jobs view with the failed job ID, and analyze error details.
  • C. Navigate to the Logs Explorer page in Cloud Logging. Use filters to find the failed job, and analyze the error details.
  • D. Navigate to the Scheduled queries page in the Google Cloud console. Select the failed job, and analyze the error details.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #2

Your team wants to create a monthly report to analyze inventory data that is updated daily. You need to aggregate the inventory counts by using only the most recent month of data, and save the results to be used in a Looker Studio dashboard. What should you do?

  • A. Create a BigQuery table that uses the SUM() function and the DATE_DIFF() function.
  • B. Create a saved query in the BigQuery console that uses the SUM() function and the DATE_SUB() function. Re-run the saved query every month, and save the results to a BigQuery table.
  • C. Create a BigQuery table that uses the SUM() function and the _PARTITIONDATE filter.
  • D. Create a materialized view in BigQuery that uses the SUM() function and the DATE_SUB() function.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #3

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 the gcloud storage cp command to copy all files from on- premises to Cloud Storage using the --no- clobber option.
  • C. Use Storage Transfer Service to configure an agent-based transfer. Set the appropriate bandwidth limit for the agent pool.
  • D. Request a Transfer Appliance, copy the data to the appliance, and ship it back to Google Cloud.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #4

You used BigQuery ML to build a customer purchase propensity model six months ago. You want to compare the current serving data with the historical serving data to determine whether you need to retrain the model.
What should you do?

  • A. Compare the two different models.
  • B. Evaluate the data skewness.
  • C. Evaluate data drift.
  • D. Compare the confusion matrix.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

You are a data analyst working with sensitive customer data in BigQuery. You need to ensure that only authorized personnel within your organization can query this data, while following the principle of least privilege. What should you do?

  • A. Update dataset privileges by using the SQL GRANT statement.
  • B. Encrypt the data by using customer-managed encryption keys (CMEK).
  • C. Enable access control by using IAM roles.
  • D. Export the data to Cloud Storage, and use signed URLs to authorize access.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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