You are tasked with designing a data pipeline that ingests daily transaction logs from Cloud Storage, performs transformations to filter and summarize the data, and loads the result into BigQuery. The pipeline needs to be managed and scheduled to run every night at midnight. Which set of Google Cloud products would best meet these requirements?
A financial services company processes data on stock trades and needs a pipeline to automate data ingestion, transformation, and loading every hour. They require a solution with fine-grained scheduling capabilities, dependency management between tasks, and automatic retries in case of failure. The company also wants to monitor job status and receive alerts when issues occur. Which Google Cloud service best meets these requirements?
An organization wants to keep track of different versions of their customer churn prediction model, ensuring that each version’s metadata, performance metrics, and deployment status are easily accessible. What should they prioritize in Vertex AI Model Registry to manage these requirements?
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?
A retail business analyst needs to create a dashboard in Looker to monitor the weekly sales performance across various product categories. The business stakeholders require a single-view dashboard that shows key performance metrics such as total revenue, average order value, and weekly growth rates. Which action should the analyst take to best meet these business requirements in Looker?