從免費範例、即時下載到 365 天免費更新，KaoGuTi 把 ADP 備考的每個環節一次備齊。你只管專心準備 Google Associate Data Practitioner，其餘瑣事交給我們，2026 年順利上場。

Google ADP 考試概覽:

認證廠商:	Google Cloud
考試名稱:	Google Cloud 助理數據從業者 (ADP)
考試代碼:	ADP
實際考試題數:	50–60
考試時間:	120 分鐘
證照有效期限:	3 年
考試形式:	多選題, 單選題
支援語言:	Japanese, English
及格分數:	70%
考試費用:	$125 USD
推薦課程:	Google Cloud Skills Boost - 數據從業者學習路徑
考試報名:	Google Cloud 官方認證註冊
範例考題:
考試方式:	線上監考或現場測試中心考試
必備條件:	無正式先決條件；建議具有約 6 個月的 Google Cloud 數據服務實踐經驗。
官方大綱網址:	https://cloud.google.com/learn/certification/data-practitioner

Google ADP 考試大綱主題:

Google Associate Data Practitioner 考試常見問題解答

最新的 Google Cloud Certified ADP 免費考試真題：

問題 #1

Your organization needs to store historical customer order dat
a. The data will only be accessed once a month for analysis and must be readily available within a few seconds when it is accessed. You need to choose a storage class that minimizes storage costs while ensuring that the data can be retrieved quickly. What should you do?

A. Store the data in Cloud Storage using Standard storage.
B. Store the data in Cloud Storage using Coldline storage.
C. Store the data in Cloud Storage using Archive storage.
D. Store the data in Cloud Storage using Nearline storage.

問題 #2

Your data science team needs to collaboratively analyze a 25 TB BigQuery dataset to support the development of a machine learning model. You want to use Colab Enterprise notebooks while ensuring efficient data access and minimizing cost. What should you do?

A. Create a Dataproc cluster connected to a Colab Enterprise notebook, and use Spark to process the data in BigQuery.
B. Export the BigQuery dataset to Google Drive. Load the dataset into the Colab Enterprise notebook using Pandas.
C. Use BigQuery magic commands within a Colab Enterprise notebook to query and analyze the data.
D. Copy the BigQuery dataset to the local storage of the Colab Enterprise runtime, and analyze the data using Pandas.

問題 #3

Your company uses Looker to generate and share reports with various stakeholders. You have a complex dashboard with several visualizations that needs to be delivered to specific stakeholders on a recurring basis, with customized filters applied for each recipient. You need an efficient and scalable solution to automate the delivery of this customized dashboard. You want to follow the Google- recommended approach. What should you do?

A. Use the Looker Scheduler with a user attribute filter on the dashboard, and send the dashboard with personalized filters to each stakeholder based on their attributes.
B. Embed the Looker dashboard in a custom web application, and use the application's scheduling features to send the report with personalized filters.
C. Create a separate LookML model for each stakeholder with predefined filters, and schedule the dashboards using the Looker Scheduler.
D. Create a script using the Looker Python SDK, and configure user attribute filter values. Generate a new scheduled plan for each stakeholder.

問題 #4

Your company stores historical data in Cloud Storage. You need to ensure that all data is saved in a bucket for at least three years. What should you do?

A. Enable Object Versioning.
B. Set a bucket retention policy.
C. Set temporary object holds.
D. Change the bucket storage class to Archive.

問題 #5

You recently inherited a task for managing Dataflow streaming pipelines in your organization and noticed that proper access had not been provisioned to you. You need to request a Google-provided IAM role so you can restart the pipelines. You need to follow the principle of least privilege. What should you do?

A. Request the Dataflow Developer role.
B. Request the Dataflow Worker role.
C. Request the Dataflow Viewer role.
D. Request the Dataflow Admin role.

問題與答案：