Free Google Associate-Data-Practitioner Practice Exam Questions and Answers 2026

You are tasked with moving a large volume of data (around 50 TB) from an on-premises data center to Cloud Storage for analysis. Due to limited internet bandwidth and a strict deadline, you need a solution that allows you to transfer the data efficiently and securely with minimal disruption to regular network activities. Which two of the following Google Cloud tools would be most suitable for this scenario? (Select two)

A retail company is using a variety of SaaS applications, including Google Ads and Salesforce, to collect and manage customer data. They want to extract data from these applications and load it directly into BigQuery on a daily basis for analytics purposes. The data must be automatically updated without manual intervention. Which Google Cloud service would best suit this requirement?

Which of the following Google Cloud tools would be most appropriate for scheduling, automating, and monitoring a data processing task that needs to run daily in a data pipeline?

Your organization processes data collected from IoT sensors every day to generate analytics reports. This data is valuable for only 90 days and then becomes obsolete. Which lifecycle policy is the most efficient for managing this data in Cloud Storage?

You have a model registered in the Model Registry in Vertex AI and need to evaluate its performance over multiple versions for A/B testing in production. Which approach will best allow you to manage different versions effectively while ensuring they can be accessed and deployed as needed?