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Google Looker-Business-Analyst Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Modeling Awareness | - Understanding LookML concepts at a high level - Working with merged results |
| Business Metrics & Reporting | - Defining and using business metrics - Analyzing trends and KPIs |
| Data Exploration & Visualization in Looker | - Querying data using Explores and Looks - Creating dashboards and visual reports |
| Content Sharing & Collaboration | - Managing content access and permissions - Scheduling and sharing reports |
FAQs for Google Looker Business Analyst Candidates
The Looker-Business-Analyst exam leads to the Looker certifications certification from Google / Google Cloud. The exam validates the knowledge and skills expected of candidates preparing for Google Looker Business Analyst.
Related certifications include:
- LookML Developer
Knowledge of Looker platform and hands-on experience with reporting and data analysis
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
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The current Looker-Business-Analyst outline is organized into 4 top-level domains. The first listed areas include:
- Business Metrics & Reporting
- Data Exploration & Visualization in Looker
- Content Sharing & Collaboration
Review the Exam Topics section above for the complete outline and any nested subtopics.
Google Looker Business Analyst Sample Questions:
An analyst works on the data team at an organization that maintains multiple similar Explores. The analyst has access to see every Explore, but knows that employees in the finance department only have access to explores tagged Finance.
There is an Employee Compensation Data Finance Explore that the finance department has access to. The analyst usually uses an All Employee Data Explore that also includes personally identifiable information.
What should the analyst do to ensure proper access if the analyst wants to send an example visualization to the finance team?
- A. Use the Employee Compensation Data Finance Explore and send the URL of the Explore to the finance team.
- B. Create Merged Results with the Employee Compensation Data Finance Explore and the All Employee Data Explore, and send the URL of the Merged Results.
- C. Use the All Employee Data Explore, but use Looker's built-in Send functionality to email the visualization.
- D. Use the All Employee Data Explore, add a filter to exclude personally identifiable information, and send the URL of the Explore to the finance team.
Correct Answer: A 🗳️
A CEO wants to receive a daily email with the existing executive dashboard to review on a mobile device on the way to the office.
What should the analyst do to optimize the dashboard for mobile viewing?
- A. Create a mobile-friendly version of the dashboard by rearranging the tiles, and schedule the dashboard.
- B. Schedule the dashboard with PDF paper size set to Fit Page to Dashboard.
- C. Schedule the dashboard as HTML to adjust automatically.
- D. Schedule the dashboard with the PDF format Use single column layout.
Correct Answer: D 🗳️
An analyst wants to schedule a dashboard in a way that makes it easier for viewing on a mobile device or for viewing a printout of the dashboard.
How can the analyst set up a schedule to accomplish this?
- A. Check Expand tables in the Advanced options section of the scheduler.
- B. Select Run schedule as recipient in the Advanced options section of the scheduler, and edit the recipient's user attribute preferences to be individual_images.
- C. Select the paper size Tabloid with orientation Landscape in the Advanced options section of the scheduler.
- D. Check Use single column layout in the Advanced options section of the scheduler.
Correct Answer: D 🗳️
An analyst is trying to rank companies in an Explore and visualize the rank as a column chart. The analyst selects the Brand Name dimension and the Rank dimension. They then select the column chart visualization type, but receive the error "Measure, time or numeric field required: Column graphs require at least one dimension or for the first dimension field to be of type: number or type: time".
How can the analyst resolve this error while showing the rank as a column visualization?
- A. Pivot the Explore by the Brand Name dimension.
- B. Select a measure to include in the Explore, then create a table calculation that multiplies the dimension by 1.0 using the syntax ${dimension}*1.0. Then hide the measure from the Explore.
- C. Pivot the Explore by brand Rank.
- D. Select a measure to include in the Explore, then create a table calculation that adds the Rank dimension to the measure multiplied by zero using the syntax ${dimension} + (${measure}*0). Then hide the measure from the Explore.
Correct Answer: D 🗳️
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