Google Cloud Associate Data Practitioner: Associate-Data-Practitioner Exam
"Google Cloud Associate Data Practitioner", also known as Associate-Data-Practitioner exam, is a Google Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 108 Q&As to your Associate-Data-Practitioner Exam preparation. In the Associate-Data-Practitioner exam resources, you will cover every field and category in Google Cloud Platform Certification helping to ready you for your successful Google Certification.
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In 2026, flexible material means material you can use your way. PrepAwayPDF provides the Associate-Data-Practitioner package — 108 verified practice questions — in PDF, PC engine, and online versions.
Google Associate-Data-Practitioner Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified - Associate Data Practitioner |
| Exam Number: | Associate Data Practitioner |
| Exam Price: | $120 USD |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice, Multiple select |
| Available Languages: | Japanese, English |
| Passing Score: | Not publicly disclosed by Google Cloud |
| Related Certifications: | Google Cloud Certified - Associate Data Practitioner |
| Real Exam Qty: | 50-60 |
| Exam Duration: | 120 minutes |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or Onsite at a testing center |
| Pre Condition: | No formal prerequisites, but Google recommends hands-on experience with Google Cloud data services and foundational cloud knowledge. |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-practitioner |
Google Associate-Data-Practitioner Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Analysis and Data Visualization | - Visualizing data
|
| Topic 2: Data Preparation and Data Processing | - Ingesting data
|
| Topic 3: Machine Learning | - Machine learning fundamentals
|
| Topic 4: Data Management and Governance | - Data storage and management
|
Studying for the Google Cloud Associate Data Practitioner Exam: Answers
The Google Cloud Associate Data Practitioner exam contains 50-60 questions, and you will have 120 minutes minutes to complete them. Practicing within the same limits builds the pacing the real exam demands.
This package includes 108 practice questions for the Google Cloud Associate Data Practitioner exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
The PDF version downloads in seconds and prints cleanly, so you can read on paper, flip through the pages freely, and write notes in the margins as you go. Marking each mistake on paper makes review sessions concrete: you see exactly which questions tripped you up and which topics need another round.
The Google Cloud Associate Data Practitioner practice questions are organized around the official exam objectives. Key topics include:
- Data Preparation and Data Processing ()
- Machine Learning ()
- Data Analysis and Data Visualization ()
Use your printed pages to flag the topics that give you trouble, then focus your next session there.
The Google Cloud Associate Data Practitioner exam requires a score of Not publicly disclosed by Google Cloud to pass, and the official registration fee is $120 USD. Because the fee is significant, preparing thoroughly the first time is the practical choice.
No formal prerequisites, but Google recommends hands-on experience with Google Cloud data services and foundational cloud knowledge.
You can confirm the current eligibility requirements on the official Associate-Data-Practitioner exam page before you register.
If you learn best with physical pages, the PDF version is built for you. Print the full 108 practice questions for the Associate-Data-Practitioner exam, work through them anywhere without a device, and keep your annotated pages as a personal review guide. The PC and online versions remain available whenever you want interactive practice.
Google Cloud Associate Data Practitioner Sample Questions:
You work for a financial services company that handles highly sensitive data. Due to regulatory requirements, your company is required to have complete and manual control of data encryption. Which type of keys should you recommend to use for data storage?
- A. Use customer-managed encryption keys (CMEK).
- B. Use a dedicated third-party key management system (KMS) chosen by the company.
- C. Use customer-supplied encryption keys (CSEK).
- D. Use Google-managed encryption keys (GMEK).
Correct Answer: C 🗳️
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You need to design a data pipeline that ingests data from CSV, Avro, and Parquet files into Cloud Storage.
The data includes raw user input. You need to remove all malicious SQL injections before storing the data in BigQuery. Which data manipulation methodology should you choose?
- A. EL
- B. ELT
- C. ETL
- D. ETLT
Correct Answer: C 🗳️
Explanation: Only visible for PrepAwayPDF members. You can sign-up / login (it's free).
Your retail company collects customer data from various sources:
* Online transactions: Stored in a MySQL database
* Customer feedback: Stored as text files on a company server
* Social media activity: Streamed in real-time from social media platforms
You are designing a data pipeline to extract this data. Which Google Cloud storage system(s) should you select for further analysis and ML model training?
- A. 1. Online transactions: BigQuery
2. Customer feedback: Cloud Storage
3. Social media activity: BigQuery - B. 1. Online transactions: Cloud Storage
2. Customer feedback: Cloud Storage
3. Social media activity: Cloud Storage - C. 1. Online transactions: Cloud SQL for MySQL
2. Customer feedback: BigQuery
3. Social media activity: Cloud Storage - D. 1. Online transactions: Bigtable
2. Customer feedback: Cloud Storage
3. Social media activity: CloudSQL for MySQL
Correct Answer: A 🗳️
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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 ID.
- 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.
Correct Answer: B 🗳️
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 multi-region bucket, and upload the files to this bucket.
- C. Create a dual-region bucket, and upload the files to this bucket.
- 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: C 🗳️
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