Free CISI ICWIM Exam Questions

An online retailer needs to load and transform transactional data from their e-commerce platform to perform near real-time analytics on customer purchasing patterns in BigQuery. Which data pipeline approach is most appropriate to meet these requirements?

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)

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?

Your team is loading data into BigQuery from various sources, including CSV files, JSON logs, and a relational database. During ingestion, you notice mismatched schemas, inconsistent null handling, and duplicate records. What should you do to identify and resolve these issues before loading the data?