Higher Test Marks with Free Online Associate-Data-Practitioner Exam Practice

Assess the CertsIQ’s updated Associate-Data-Practitioner exam questions for free online practice of your Google Cloud Associate Data Practitioner (ADP) test. Our Associate Data Practitioner dumps questions will enhance your chances of passing the Google Cloud Certified certification exam with higher marks.

Exam Code: Associate-Data-Practitioner
Exam Questions: 405
Google Cloud Associate Data Practitioner (ADP)
Updated: 14 Apr, 2026
Question 1

A company collects customer interaction data in a JSON format and plans to load this data into BigQuery for analysis. The data includes nested fields such as customer details, purchase history, and support interactions. They need a format that maintains the nested structure, supports schema evolution, and provides fast query performance. What format should they convert their JSON data into before loading it into BigQuery?

Options :
Answer: C

Question 2

Which of the following metrics is most appropriate for evaluating a binary classification model when the dataset has an imbalanced distribution of classes?

Options :
Answer: C

Question 3

Your team uses Cloud SQL to manage an application database that requires both high availability and disaster recovery. Which of the following configurations will best support these requirements?

Options :
Answer: A

Question 4

You are asked to create a Looker dashboard to help the sales team understand quarterly sales performance across regions. They want to see both total sales and the number of new customers by region, with filters to view specific quarters. Which approach best fulfills this requirement?

Options :
Answer: B

Question 5

A healthcare organization needs to integrate data from various sources, including patient management systems, IoT devices, and electronic health records (EHRs). They want to process this data for immediate insights as well as store it in a structured data warehouse for long-term analysis. Given the sensitivity of the data and the need to perform some transformations on raw data, which of the following data processing approaches would be most suitable for this scenario?

Options :
Answer: B

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