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Google ADP Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Visualization and Insights	20-30%	- Build visualizations using Looker Studio - Create dashboards and reports - Interpret and communicate findings - Present data insights to stakeholders - Choose appropriate visualization types
Topic 2: Data Preparation and Exploration	20-30%	- Identify data quality issues - Explore data through visualization and queries - Transform and prepare data for analysis - Ingest and acquire data - Perform exploratory data analysis (EDA)
Topic 3: Data-Driven Decision Making	10-20%	- Assess data quality and completeness - Define success metrics - Identify stakeholders and requirements - Translate business requirements into data solutions
Topic 4: Data Processing and Analytics	20-30%	- Aggregate and summarize data - Build and maintain data pipelines - Query and analyze datasets - Apply statistical methods for analysis - Use BigQuery and SQL for analytics

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Free PDF Quiz 2026 Authoritative Google ADP: Associate Data Practitioner Valid Exam Test

This format enables you to assess your ADP test preparation with a Google ADP certification exam. You can also customize your time and the kinds of Google ADP Exam Questions of the Google ADP practice test. Prep4King has formulated ADP PDF questions for the convenience of Google ADP test takers.

Google Associate Data Practitioner Sample Questions (Q61-Q66):

NEW QUESTION # 61
You have a BigQuery dataset containing sales dat
a. This data is actively queried for the first 6 months. After that, the data is not queried but needs to be retained for 3 years for compliance reasons. You need to implement a data management strategy that meets access and compliance requirements, while keeping cost and administrative overhead to a minimum. What should you do?

A. Store all data in a single BigQuery table without partitioning or lifecycle policies.
B. Set up a scheduled query to export the data to Cloud Storage after 6 months. Write a stored procedure to delete the data from BigQuery after 3 years.
C. Partition a BigQuery table by month. After 6 months, export the data to Coldline storage. Implement a lifecycle policy to delete the data from Cloud Storage after 3 years.
D. Use BigQuery long-term storage for the entire dataset. Set up a Cloud Run function to delete the data from BigQuery after 3 years.

Answer: C

NEW QUESTION # 62
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. Create a view that filters out rows that are older than one year.
B. Set the table partition expiration period to one year using the ALTER TABLE statement in SQL.
C. Require users to specify a partition filter using the alter table statement in SQL.
D. 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.

Answer: B

NEW QUESTION # 63
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 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.
B. 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.
C. Create a multi-region bucket, and upload the files to this bucket.
D. Create a dual-region bucket, and upload the files to this bucket.

Answer: D

NEW QUESTION # 64
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. Navigate to the Scheduled queries page in the Google Cloud console. Select the failed job, and analyze the 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. Request access from your admin to the BigQuery information_schema. Query the jobs view with the failed job ID, and analyze error details.

Answer: B

NEW QUESTION # 65
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. Enable access control by using IAM roles.
B. Encrypt the data by using customer-managed encryption keys (CMEK).
C. Export the data to Cloud Storage, and use signed URLs to authorize access.
D. Update dataset privileges by using the SQL GRANT statement.

Answer: A

NEW QUESTION # 66
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