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DA0-002 Visualization and Reporting Practice Question

A data analyst is creating a dashboard in Looker Studio and needs to combine data from two different data sources using a common field. Which feature should be used?

⚠ Common exam trap

Candidates often confuse data blending with calculated fields or filters — candidates often think a calculated field can combine sources, but it only operates within one source; data blending is the only feature that joins multiple sources on a common key.

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 allows you to combine data from multiple data sources into a single chart or table by joining them on a common dimension (key field). This is the correct feature when you need to merge data from two different sources, such as Google Analytics and Google Sheets, using a shared field like date or campaign ID.

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 joins two different data sources on a shared dimension key, producing a combined result without prior ETL. Looker Studio's blend feature satisfies the stem's constraint of combining sources via a common field, unlike extracting or joining within a single source.

  • ✗

    Community connector

    Why it's wrong here

    A community connector pulls data from an external platform into Looker Studio as one source; it does not join two existing sources on a common field. Connectors suit ingesting third-party data, while blending performs the required join.

  • ✗

    Filter

    Why it's wrong here

    Filtering restricts rows returned by a single data source; it cannot join two sources on a shared field, which is what blending or a blended data source accomplishes. Filtering is the right choice when you need to narrow one dataset's records by dimension values or date ranges, not to merge separate sources.

  • ✗

    Calculated field

    Why it's wrong here

    A calculated field derives new values from fields within a single data source; it cannot join two sources on a common field. It suits arithmetic, concatenation or CASE logic, whereas blending is the feature that combines sources by a shared dimension.

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Last reviewed September 2026 · checked against the official CompTIA exam blueprint

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