PDF Version DemoThree versions, one standard of quality: the Google Associate Data Practitioner package from ActualPDF comes as a printable PDF, a Windows test engine, and an online version that candidates increasingly prefer for studying on any device. All carry the same 66 ADP questions.
Google ADP Exam Overview:
| Certification Vendor: | |
|---|---|
| Exam Name: | Google Cloud Associate Data Practitioner |
| Exam Number: | GCP-ADP |
| Exam Duration: | 120 minutes |
| Passing Score: | 70% |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 50-60 |
| Related Certifications: | Google Cloud Professional Data Analyst Google Cloud Professional Data Engineer |
| Exam Price: | $125 USD |
| Exam Format: | Multiple select, Multiple choice |
| Available Languages: | Japanese, English |
| Recommended Training: | Introduction to Data Engineering on Google Cloud Google Cloud Associate Data Practitioner Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| 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 |
|---|---|---|
| Data Preparation and Ingestion | 30% | - Data formats and classification
|
| Data Analysis and Presentation | 27% | - Data visualization and reporting
|
| Data Management and Governance | 25% | - Compliance and governance
|
| Data Pipeline Orchestration | 18% | - Pipeline automation and scheduling
|
Google ADP Exam: What Candidates Want to Know
Google Associate Data Practitioner is an official Google certification exam, registered under the code ADP. Passing it awards the Associate Data Practitioner certification, a credential at the Associate level. It also connects to Google Cloud Professional Data Engineer, Google Cloud Professional Data Analyst. The exam is demanding by design, and that difficulty is precisely what makes the credential meaningful for career development.
The Google Associate Data Practitioner exam presents 50-60 questions within 120 minutes. That is a brisk pace, and the candidates who handle it best are the ones who rehearsed it. Use the ActualPDF engine for full timed simulations, practice flagging and returning, and arrive on exam day with a pacing strategy already proven.
Passing Google Associate Data Practitioner takes 70%, and official registration costs $125 USD. Retakes bill the full $125 USD again, so preparation is the least expensive insurance available. Let your ActualPDF practice scores guide the timing: book when you clear the requirement consistently, not occasionally.
No mandatory prerequisites; recommended 6+ months hands-on experience working with data on Google Cloud
Policies get revised, so confirm the current requirements before you register on the official exam page.
Google Associate Data Practitioner registration is handled through the official channels below.
For scheduling purposes: the exam is delivered Online proctored (remote) or onsite proctored at authorized test centers.
Yes, Google recommends the following training for Google Associate Data Practitioner candidates.
- Google Cloud Associate Data Practitioner Learning Path
- Introduction to Data Engineering on Google Cloud
Complement any training with the 66 practice questions in the ActualPDF ADP package, because repeated application is what turns course knowledge into a passing score.
Yes. ActualPDF offers a free demo of the Google Associate Data Practitioner questions, so you can verify the quality personally before purchasing. Your purchase then includes a one-year service warranty: updates are free for 365 days, and after expiry you can extend the update service at a 50% discount.
Your money is protected by a 100% money-back guarantee with defined conditions. Take the Google Associate Data Practitioner exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. You may instead wait for the update version or change to other exam material: exchange for two other exam products of equal value, free, with your original purchase keeping its update service.
Delivery is instant: files unlock for download at payment and are emailed within one minute. If nothing arrives within 2 hours, check spam and contact customer service, online 7/24 even on official holidays. Installation is unlimited across your computers.
Google Associate Data Practitioner is organized into 4 official domains. The most heavily weighted are Data Analysis and Presentation (27%), Data Pipeline Orchestration (18%), and Data Management and Governance (25%). The full breakdown appears above on this page; study the weightings and your preparation priorities set themselves.
Google Associate Data Practitioner Sample Questions:
Question 1
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. Compare the confusion matrix.
C. Evaluate data drift.
D. Evaluate the data skewness.
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 materialized view in BigQuery that uses the SUM() function and the DATE_SUB() 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 DATE_DIFF() function.
D. Create a BigQuery table that uses the SUM() function and the _PARTITIONDATE filter.
Question 3
Your company uses Looker to visualize and analyze sales dat
a. You need to create a dashboard that displays sales metrics, such as sales by region, product category, and time period. Each metric relies on its own set of attributes distributed across several tables. You need to provide users the ability to filter the data by specific sales representatives and view individual transactions. You want to follow the Google-recommended approach. What should you do?
A. Create a single Explore with all sales metrics. Build the dashboard using this Explore.
B. Use Looker's custom visualization capabilities to create a single visualization that displays all the sales metrics with filtering and drill-down functionality.
C. Use BigQuery to create multiple materialized views, each focusing on a specific sales metric. Build the dashboard using these views.
D. Create multiple Explores, each focusing on each sales metric. Link the Explores together in a dashboard using drill-down functionality.
Question 4
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 Scheduled queries page in the Google Cloud console. Select the failed job, and analyze the error details.
D. Navigate to the Logs Explorer page in Cloud Logging. Use filters to find the failed job, and analyze the error details.
Question 5
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.
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: A |
