- A
Use a Data Transform recipe to clean the data before ingestion
Data Transform recipes can standardize rows, handle extra delimiters, and log errors.
- B
Edit the CSV manually
Why wrong: Manual editing is error-prone and not scalable for large files.
- C
Increase the pipeline timeout
Why wrong: Timeout does not address the root cause of malformed data.
- D
Reject the entire file and request a corrected version
Why wrong: Rejecting causes delays and possible data loss if correction is not prioritized.
Question 128 of 1,000
AI Associate Data for AI Practice Question
This AI Associate practice question tests your understanding of data for ai. 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 data integration specialist is using Data Pipelines to combine Salesforce data with an external CSV file. The CSV has a header row but some rows have extra commas, causing parsing errors. What should the specialist do?
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
✓
Use a Data Transform recipe to clean the data before ingestion
Option A is correct because a Data Transform recipe in Salesforce Data Pipelines can handle malformed CSV rows, such as those with extra commas, by using data cleansing transformations like splitting or parsing with proper delimiters, or by filtering out invalid rows. This allows for automated, scalable cleaning before ingestion. Manual editing (option B) is inefficient and error-prone for large datasets. Increasing the pipeline timeout (option C) does not address parsing errors. Rejecting the entire file (option D) results in data loss and is unnecessary when the data can be cleaned programmatically.
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.
- ✓
Use a Data Transform recipe to clean the data before ingestion
Why this is correct
Data Transform recipes can standardize rows, handle extra delimiters, and log errors.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Edit the CSV manually
Why it's wrong here
Manual editing is error-prone and not scalable for large files.
- ✗
Increase the pipeline timeout
Why it's wrong here
Timeout does not address the root cause of malformed data.
- ✗
Reject the entire file and request a corrected version
Why it's wrong here
Rejecting causes delays and possible data loss if correction is not prioritized.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 AI Associate 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 AI Associate exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Questions learners often ask
What does this AI Associate question test?
Data for AI — This question tests Data for AI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a Data Transform recipe to clean the data before ingestion — Option A is correct because a Data Transform recipe in Salesforce Data Pipelines can handle malformed CSV rows, such as those with extra commas, by using data cleansing transformations like splitting or parsing with proper delimiters, or by filtering out invalid rows. This allows for automated, scalable cleaning before ingestion. Manual editing (option B) is inefficient and error-prone for large datasets. Increasing the pipeline timeout (option C) does not address parsing errors. Rejecting the entire file (option D) results in data loss and is unnecessary when the data can be cleaned programmatically.
What should I do if I get this AI Associate question wrong?
Identify which AI Associate exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 23, 2026
This AI Associate practice question is part of Courseiva's free Salesforce 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 AI Associate exam.
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