PDF Version DemoWhy wait for shipping? The moment your order is confirmed, Getcertkey emails the ADP practice questions to your inbox, usually within a minute. You could be working through the 66 questions for the Google Associate Data Practitioner exam tonight.
Google ADP Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Associate Data Practitioner (ADP) |
| Exam Number: | ADP |
| Passing Score: | 70% |
| Exam Duration: | 120 minutes |
| Exam Price: | $125 USD |
| Available Languages: | English, Japanese |
| Real Exam Qty: | 50–60 |
| Exam Format: | Multiple choice, Multiple select |
| Certificate Validity Period: | 3 years |
| Recommended Training: | Google Cloud Skills Boost - Data Practitioner Learning Path |
| Exam Registration: | Official Google Cloud Certification Registration |
| Sample Questions: |  |
| Exam Way: | Online proctored or onsite test center exam |
| Pre Condition: | No formal prerequisites required; recommended ~6 months hands-on experience with Google Cloud data services. |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-practitioner |
Google ADP Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Analysis and Presentation | 27% | - Data visualization
|
| Topic 2: Data Preparation and Ingestion | 30% | - Data ingestion into Google Cloud services
|
| Topic 3: Data Pipeline Orchestration | 18% | - Pipeline design and automation
|
| Topic 4: Data Management | 25% | - Storage and data organization
|
Common Questions About the Google ADP Exam
What is the Google Associate Data Practitioner exam all about?
The ADP exam is the official Google Cloud exam behind the Associate Data Practitioner certification, validating the skills measured by the Google Associate Data Practitioner credential. It sits at the Associate level of the Google Cloud certification program.
How many questions are on the ADP exam, and how much time do I get?
The ADP exam contains 50–60 questions to be completed within 120 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the ADP exam, and what does it cost?
The passing score for the ADP exam is 70%, and the official registration fee is $125 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 66 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the ADP exam?
No formal prerequisites required; recommended ~6 months hands-on experience with Google Cloud data services. Requirements can change when Google Cloud revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the ADP exam?
You can book the Google Associate Data Practitioner exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online proctored or onsite test center exam. Choose the option that suits you best when you book your seat.
What official training is recommended for the ADP exam?
Google Cloud recommends the following training resources for the Google Associate Data Practitioner exam:
Official courses build the foundation; the 66 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the ADP practice questions before I buy?
Yes. Getcertkey provides a free ADP PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Google revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the ADP exam, and how is my order delivered?
Every Google Associate Data Practitioner purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the ADP exam?
The Google Associate Data Practitioner exam blueprint is organized into 4 domains. The first three are:
- Data Management — 25% of the exam
- Data Analysis and Presentation — 27% of the exam
- Data Preparation and Ingestion — 30% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
Google Associate Data Practitioner Sample Questions:
Question 1
Your organization has decided to move their on-premises Apache Spark-based workload to Google Cloud.
You want to be able to manage the code without needing to provision and manage your own cluster. What should you do?
A. Migrate the Spark jobs to Dataproc on Google Kubernetes Engine.
B. Configure a Google Kubernetes Engine cluster with Spark operators, and deploy the Spark jobs.
C. Migrate the Spark jobs to Dataproc Serverless.
D. Migrate the Spark jobs to Dataproc on Compute Engine.
Question 2
Your organization plans to move their on-premises environment to Google Cloud. Your organization's network bandwidth is less than 1 Gbps. You need to move over 500 ## of data to Cloud Storage securely, and only have a few days to move the dat a. What should you do?
A. Request multiple Transfer Appliances, copy the data to the appliances, and ship the appliances back to Google Cloud to upload the data to Cloud Storage.
B. Connect to Google Cloud using VPN. Use Storage Transfer Service to move the data to Cloud Storage.
C. Connect to Google Cloud using VPN. Use the gcloud storage command to move the data to Cloud Storage.
D. Connect to Google Cloud using Dedicated Interconnect. Use the gcloud storage command to move the data to Cloud Storage.
Question 3
You are storing data in Cloud Storage for a machine learning project. The data is frequently accessed during the model training phase, minimally accessed after 30 days, and unlikely to be accessed after 90 days. You need to choose the appropriate storage class for the different stages of the project to minimize cost. What should you do?
A. Store the data in Nearline storage during the model training phase. Transition the data to Archive storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.
B. Store the data in Standard storage during the model training phase. Transition the data to Durable Reduced Availability (DRA) storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.
C. Store the data in Nearline storage during the model training phase. Transition the data to Coldline storage 30 days after model deployment, and to Archive storage 90 days after model deployment.
D. Store the data in Standard storage during the model training phase. Transition the data to Nearline storage 30 days after model deployment, and to Coldline storage 90 days after model deployment.
Question 4
You manage a large amount of data in Cloud Storage, including raw data, processed data, and backups. Your organization is subject to strict compliance regulations that mandate data immutability for specific data types.
You want to use an efficient process to reduce storage costs while ensuring that your storage strategy meets retention requirements. What should you do?
A. Configure lifecycle management rules to transition objects to appropriate storage classes based on access patterns. Set up Object Versioning for all objects to meet immutability requirements.
B. Create a Cloud Run function to periodically check object metadata, and move objects to the appropriate storage class based on age and access patterns. Use object holds to enforce immutability for specific objects.
C. Use object holds to enforce immutability for specific objects, and configure lifecycle management rules to transition objects to appropriate storage classes based on age and access patterns.
D. Move objects to different storage classes based on their age and access patterns. Use Cloud Key Management Service (Cloud KMS) to encrypt specific objects with customer-managed encryption keys (CMEK) to meet immutability requirements.
Question 5
You are working on a project that requires analyzing daily social media dat a. You have 100 GB of JSON formatted data stored in Cloud Storage that keeps growing.
You need to transform and load this data into BigQuery for analysis. You want to follow the Google-recommended approach. What should you do?
A. Manually download the data from Cloud Storage. Use a Python script to transform and upload the data into BigQuery.
B. Use Cloud Data Fusion to transfer the data into BigQuery raw tables, and use SQL to transform it.
C. Use Cloud Run functions to transform and load the data into BigQuery.
D. Use Dataflow to transform the data and write the transformed data to BigQuery.
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: D | Question 4 Answer: C | Question 5 Answer: D |
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