Your team wants to generate a report using BigQuery to identify top-selling products. They want to see the product name along with its total sales, sorted in descending order of total sales. Which SQL query best fits this requirement?
A retail company needs to transfer a large volume of historical sales data from an on-premises data warehouse to BigQuery to perform trend analysis and forecasting. They want a managed, automated solution that can schedule regular data transfers and manage any changes in data size over time. Which Google Cloud tool is best suited for this task?
A financial services company stores large volumes of data in Cloud Storage and wants to minimize storage costs. They aim to automatically move older, infrequently accessed data to a lower-cost storage class and eventually delete it after a certain period. Which feature should they configure to achieve this cost-effective data management?
Which two advantages does using pretrained Google Large Language Models (LLMs) via a remote connection in BigQuery offer when working with natural language processing (NLP) tasks? (Select two)
You are creating a dashboard in Looker for a retail business to track monthly sales performance across different regions. The business requires that each region’s sales are displayed with the ability to filter by specific time periods and product categories. Which LookML parameter should you modify to ensure that the data model includes a filterable field for the ‘product_category’?