Recall & Review
beginner
What is a dashboard in Elasticsearch Kibana?
A dashboard in Kibana is a collection of visualizations and saved searches displayed together to provide an overview of data in one place.
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beginner
How do you add a visualization to a Kibana dashboard?
You click the 'Add' button on the dashboard, then select the saved visualization you want to include.
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beginner
What is the purpose of filters in a Kibana dashboard?
Filters let you narrow down the data shown in all visualizations on the dashboard to focus on specific information.Click to reveal answer
beginner
Why should you use time range controls in a Kibana dashboard?
Time range controls let you select the period for which data is shown, helping you analyze trends over specific times.Click to reveal answer
beginner
What is the benefit of saving a dashboard in Kibana?
Saving a dashboard lets you keep your layout and filters so you can easily return to the same view later or share it with others.
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What is the first step to create a dashboard in Kibana?
✗ Incorrect
You start by opening the Dashboard app in Kibana and clicking 'Create new dashboard' to begin adding visualizations.
How can you update the data shown in all visualizations on a dashboard?
✗ Incorrect
Changing the time range filter updates the data shown across all visualizations on the dashboard.
Which of these is NOT a visualization type you can add to a Kibana dashboard?
✗ Incorrect
Word documents are not visualization types in Kibana dashboards.
What happens when you apply a filter on a Kibana dashboard?
✗ Incorrect
Applying a filter narrows the data shown in all dashboard visualizations to the filtered subset.
Why is it useful to share a saved dashboard?
✗ Incorrect
Sharing a saved dashboard allows others to view the same visualizations and filters for consistent insights.
Describe the steps to create and save a dashboard in Kibana.
Think about how you gather and arrange visualizations before saving.
You got /5 concepts.
Explain how filters and time range controls improve dashboard usefulness.
Consider how you focus on specific data in real life, like filtering emails or setting a calendar date.
You got /4 concepts.