Topic 1 Question 57
Your company uses Looker to visualize and analyze sales data. You need to create a dashboard that displays sales metrics, such as sales by region, product category, and time period. Each metric relies on its own set of attributes distributed across several tables. You need to provide users the ability to filter the data by specific sales representatives and view individual transactions. You want to follow the Google-recommended approach. What should you do?
Create multiple Explores, each focusing on each sales metric. Link the Explores together in a dashboard using drill-down functionality.
Use BigQuery to create multiple materialized views, each focusing on a specific sales metric. Build the dashboard using these views.
Create a single Explore with all sales metrics. Build the dashboard using this Explore.
Use Looker's custom visualization capabilities to create a single visualization that displays all the sales metrics with filtering and drill-down functionality.
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コメント(1)
- 正解だと思う選択肢: C
The best option is C. Single Explore. Option C is best: Single Explore is Google's recommended way for dashboards with related metrics, offering unified filtering. Option A (Multiple Explores) is incorrect: Fragments user experience. Option B (Materialized Views) is incorrect: BigQuery optimization, not Looker dashboard design. Option D (Custom Visualization) is incorrect: Less efficient than built-in Explore features. Therefore, Option C, Single Explore, is the Google-recommended, most efficient approach.
👍 1n21837128472025/03/05
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