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A retail company needs a solution to orchestrate and automate data workflows for data cleansing, transformation, and analysis across multiple Google Cloud services. The solution should allow them to manage dependencies and schedules. Which Google Cloud service is best suited for this use case?

You are working with a marketing team that needs to import data from Google Analytics into BigQuery on a daily basis for reporting purposes. They want this data import process to be automated and scheduled without requiring frequent manual intervention. Which tool is the most suitable for this task?

You have just completed training a machine learning model on customer behavior data. Your next step is to evaluate its performance to decide if it’s ready for deployment. Which two evaluation metrics are critical for assessing the quality of a model designed to predict customer churn? (Select two)

A team is designing a pipeline to ingest large amounts of raw data from multiple external sources into BigQuery for further analysis. They plan to perform basic data transformations, such as removing duplicates and standardizing date formats, before loading the data. Which data manipulation methodology is most suitable for this scenario?

A company wants to process customer purchase data in near real-time to update their analytics dashboard. The data should go through some transformation and enrichment steps before being loaded into BigQuery. Which of the following pipeline designs would best meet this requirement?