Module quiz

To pass this module quiz, you must answer at least 4 out of 5 questions correctly. It is not timed, and you can retake it as many times as needed.

In a freeform table, what does breaking down a dimension by another dimension let you do?

false

1. It filters out all data except the top-level dimension value
2. It progressively narrows the analysis — first identifying broad categories, then the specific values driving those categories — to support more targeted insights
3. It creates a multi-filter dropdown so users can switch views without rebuilding the table
4. It automatically generates a separate panel for each dimension value

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When you add a filter as a row item in a freeform table (instead of the filter drop zone at the top), what does this enable?

false

1. It applies the filter only to that specific row rather than globally
2. It allows side-by-side comparison of metrics across multiple filtered subsets — such as web, mobile app, and in-store — within a single table
3. It converts the filter into a calculated metric that can be reused across panels
4. It automatically generates a breakdown by the filter's container type

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In a flow visualization, what does placing a dimension in the "ends with" box do?

false

1. It shows only the last five steps in the customer journey
2. It builds the flow backward from the specified dimension value, showing what led up to it
3. It uses the person container instead of the session container
4. It shows only the pages that loaded after the dimension value

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In a fallout visualization, why would you add channel filters (web, mobile, in-store) as the first steps of the funnel?

false

1. To segment the funnel so that conversion drop-off can be viewed independently for each channel, revealing whether the funnel performs differently across touchpoints
2. To ensure only visitors who used all three channels in a single session are counted
3. To apply a global date range that restricts the funnel to a specific campaign window
4. To automatically duplicate the panel for each channel without manual work

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In a cross-channel report, why would you apply a panel-level filter in addition to individual metric-level filters?

false

1. To apply a date range restriction to both metrics at the same time
2. To restrict the report to only the people who performed both behaviors — for example, those who purchased via web AND returned via mobile app — rather than showing all web orders and all mobile returns independently
3. To convert the metric-level filters into a sequential flow analysis
4. To enable the combo visualization to render both bar and line chart elements together

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