- A
Data blending
Blending merges data from different sources based on a key.
- B
Calculated fields
Why wrong: Calculated fields create new fields within a single source.
- C
Community connectors
Why wrong: Community connectors import data from external services, not combine sources.
- D
Dashboard filters
Why wrong: Filters restrict data but do not combine sources.
Question 210 of 1,000
DA0-001 Visualising Data Practice Question
This DA0-001 practice question tests your understanding of visualising data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
In Looker Studio, a data analyst has two data sources: one with customer IDs and transactions, and another with customer demographics. They need to create a chart that includes fields from both sources. Which feature should they use?
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 two or more separate data sources based on a common key (e.g., customer ID). This enables you to create a chart that uses fields from both the transactions source and the demographics source without needing to merge the data at the database level. Without blending, a single chart can only reference fields from one data source at a time.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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
Blending merges data from different sources based on a key.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Calculated fields
Why it's wrong here
Calculated fields create new fields within a single source.
- ✗
Community connectors
Why it's wrong here
Community connectors import data from external services, not combine sources.
- ✗
Dashboard filters
Why it's wrong here
Filters restrict data but do not combine sources.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse data blending with calculated fields, thinking a formula can reference fields from another source, but Looker Studio restricts calculated fields to operate only within a single data source.
Detailed technical explanation
How to think about this question
Under the hood, Looker Studio data blending performs a left outer join on the specified key(s), allowing you to include fields from the secondary source even if some rows lack a matching key. A subtle behavior is that blending creates a temporary, aggregated table; if you need row-level detail from both sources, you must ensure the key is unique in the primary source. In real-world scenarios, this is critical when combining transaction logs (many rows per customer) with demographic data (one row per customer) to avoid data duplication.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DA0-001 question test?
Visualising Data — This question tests Visualising Data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Data blending — Data blending in Looker Studio allows you to combine data from two or more separate data sources based on a common key (e.g., customer ID). This enables you to create a chart that uses fields from both the transactions source and the demographics source without needing to merge the data at the database level. Without blending, a single chart can only reference fields from one data source at a time.
What should I do if I get this DA0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This DA0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-001 exam.
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