DA0-002 Visualization and Reporting Practice Question
In Looker Studio, you have a data source with daily sales and a separate data source with marketing spend. You want to create a chart that shows sales and marketing spend on the same axis, but the two sources are not joined natively. Which feature should you use to combine them?
⚠ Common exam trap
The trap is assuming calculated fields or filters can combine sources, when only data blending natively joins two unconnected data sources in Looker Studio.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Data blending
Data blending in Looker Studio lets you combine metrics from two different data sources in a single chart by defining a join key (dimension) shared between them. This is the native mechanism for merging unjoined sources without modifying the underlying data. It is designed exactly for scenarios like combining sales and marketing spend on the same axis.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Data blending
Why this is correct
Data blending lets you combine metrics from two separate Looker Studio data sources by joining them on a shared dimension, without a native join. This satisfies the requirement to plot sales and marketing spend on the same axis.
- ✗
Filters
Why it's wrong here
Filters restrict or exclude rows within a single data source; they cannot merge fields from two unjoined sources onto one axis. Filters are correct when narrowing an existing chart's records by dimension values or date ranges.
- ✗
Community connectors
Why it's wrong here
Community connectors are third-party integrations that pull external data into Looker Studio as a source; they do not blend two existing sources within a chart. They suit connecting platforms Looker Studio lacks a native connector for.
- ✗
Calculated fields
Why it's wrong here
Calculated fields create new fields from expressions within one data source; they cannot combine records across two unjoined sources. They are correct for deriving metrics such as profit from revenue and cost inside a single source.
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Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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