Confidently Practice Online with Free Associate-Data-Practitioner Exam Cram

You are working with a client who wants to extract data from various public APIs and load it into a Google Cloud service. The data should be stored in a highly durable, scalable, and cost-effective manner. Additionally, the data might later be integrated with BigQuery for advanced analytics. Which service would be best suited for the initial storage of this data?

You are creating a Looker dashboard to help a retail company monitor inventory metrics, such as stock levels and reorder rates, by store location. The company’s business analyst requests that the dashboard displays both the total inventory count and the average reorder rate over the past six months. To achieve this, you need to adjust LookML parameters in the model file. Which combination of LookML parameters should you use to create fields for total inventory count and average reorder rate?

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 are preparing a batch ETL job to clean and enrich product sales data coming from multiple sources before loading it into BigQuery. The data needs to be cleansed by filling missing values, deduplicating records, and applying data transformations across several datasets. Which tool would be most suitable for this purpose?

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?