Topic 1 Question 29
Your company uses Looker to generate and share reports with various stakeholders. You have a complex dashboard with several visualizations that needs to be delivered to specific stakeholders on a recurring basis, with customized filters applied for each recipient. You need an efficient and scalable solution to automate the delivery of this customized dashboard. You want to follow the Google-recommended approach. What should you do?
Create a separate LookML model for each stakeholder with predefined filters, and schedule the dashboards using the Looker Scheduler.
Create a script using the Looker Python SDK, and configure user attribute filter values. Generate a new scheduled plan for each stakeholder.
Embed the Looker dashboard in a custom web application, and use the application's scheduling features to send the report with personalized filters.
Use the Looker Scheduler with a user attribute filter on the dashboard, and send the dashboard with personalized filters to each stakeholder based on their attributes.
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- 正解だと思う選択肢: D
The optimal and Google-recommended solution is D. Use Looker Scheduler with User Attribute filters. This is the most efficient and scalable approach as it directly utilizes Looker's built-in features to automate personalized dashboard delivery based on user attributes. Option A (Separate LookML models) is inefficient and unscalable due to model duplication. Option B (Python SDK scripting) is more complex than necessary and less efficient than using built-in features. Option C (Embedded Dashboard and Custom App) is overly complex and inefficient, re-implementing Looker's native functionalities. Therefore, Option D is the most straightforward, efficient, and aligned with Google's recommended best practices for Looker.
👍 1n21837128472025/02/27
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