- A
Using the SUMX function to sum a column without iteration
Why wrong: SUMX iterates row by row; SUM is simpler for direct column sums.
- B
Using Power Query to remove duplicate rows from the data source
Power Query is ideal for data cleaning and transformation.
- C
Using TOTALYTD to calculate year-to-date sales
TOTALYTD is a time intelligence function for YTD calculations.
- D
Using the CALCULATE function to change the filter context in a measure
CALCULATE is a core DAX function for modifying filters.
- E
Using the RELATED function to create a calculated column from a related table
Why wrong: RELATED retrieves a value from a related table, but it's not typically used for measures. However, it can be used in calculated columns; but the question asks for appropriate uses in the context of a report; RELATED is less common for performance measures. Given three correct options, E is less essential than the others.
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.
A sales analyst is building a Power BI report to analyze quarterly performance. Which THREE are appropriate uses of DAX or Power Query? (Select three.)
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
Using Power Query to remove duplicate rows from the data source
Option B is correct because Power Query is specifically designed for data transformation and cleaning tasks, such as removing duplicate rows from a data source, before the data is loaded into the data model. This is a standard ETL operation that Power Query handles efficiently using its 'Remove Duplicates' feature, which is not a DAX function.
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.
- ✗
Using the SUMX function to sum a column without iteration
Why it's wrong here
SUMX iterates row by row; SUM is simpler for direct column sums.
- ✓
Using Power Query to remove duplicate rows from the data source
Why this is correct
Power Query is ideal for data cleaning and transformation.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Using TOTALYTD to calculate year-to-date sales
Why this is correct
TOTALYTD is a time intelligence function for YTD calculations.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Using the CALCULATE function to change the filter context in a measure
Why this is correct
CALCULATE is a core DAX function for modifying filters.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Using the RELATED function to create a calculated column from a related table
Why it's wrong here
RELATED retrieves a value from a related table, but it's not typically used for measures. However, it can be used in calculated columns; but the question asks for appropriate uses in the context of a report; RELATED is less common for performance measures. Given three correct options, E is less essential than the others.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between data transformation tools (Power Query) and data analysis functions (DAX), leading candidates to mistakenly think that DAX functions like SUMX can perform data cleaning tasks, when in fact they are for analytical calculations within the data model.
Detailed technical explanation
How to think about this question
Power Query's 'Remove Duplicates' operation works by comparing all columns in the selected rows and keeping only the first occurrence of each unique combination, which is essential for cleaning data before loading into Power BI. DAX functions like TOTALYTD and CALCULATE operate on the in-memory tabular model, with CALCULATE modifying filter context by applying or removing filters, which is fundamental for dynamic measures like year-to-date calculations.
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: Using Power Query to remove duplicate rows from the data source — Option B is correct because Power Query is specifically designed for data transformation and cleaning tasks, such as removing duplicate rows from a data source, before the data is loaded into the data model. This is a standard ETL operation that Power Query handles efficiently using its 'Remove Duplicates' feature, which is not a DAX function.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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