- A
Declare uniqueness rules on calculated insights.
Why wrong: Uniqueness rules on calculated insights are not a typical data quality action.
- B
Create profiling and auditing dashboards to monitor data health.
Monitoring data health is essential for ongoing data quality and governance.
- C
Set role-based access controls on data model objects.
Why wrong: While important for governance, this is about security, not direct data quality.
- D
Use Data Cloud's data model to establish relationships between objects.
Relationships ensure data integrity and enable accurate AI predictions.
- E
Enable automatic field mapping for all data sources.
Why wrong: Automatic mapping can lead to errors and is not a best practice for data quality.
Question 382 of 1,000
AI Associate Data Model 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. A key principle to apply: data Model. 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 company is preparing their Salesforce Data Cloud for Einstein AI predictions. They need to ensure data quality and governance. Which TWO actions should they take? (Choose two.)
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
✓
Create profiling and auditing dashboards to monitor data health.
Option B is correct because creating profiling and auditing dashboards helps monitor data health and governance, ensuring data quality for Einstein AI predictions. Option D is correct because using Data Cloud's data model to establish relationships between objects is fundamental for accurate predictions and ensures data integrity. Option A is incorrect because uniqueness rules on calculated insights are not a standard data quality practice. Option C is incorrect because while role-based access controls contribute to governance, they are not a primary action for data quality and are less directly relevant to preparing data for AI predictions. Option E is incorrect because enabling automatic field mapping for all data sources may introduce errors without proper validation and does not directly address data quality.
Key principle: Data Model
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Declare uniqueness rules on calculated insights.
Why it's wrong here
Uniqueness rules on calculated insights are not a typical data quality action.
- ✓
Create profiling and auditing dashboards to monitor data health.
Why this is correct
Monitoring data health is essential for ongoing data quality and governance.
Related concept
Data Model
- ✗
Set role-based access controls on data model objects.
Why it's wrong here
While important for governance, this is about security, not direct data quality.
- ✓
Use Data Cloud's data model to establish relationships between objects.
Why this is correct
Relationships ensure data integrity and enable accurate AI predictions.
Related concept
Data Model
- ✗
Enable automatic field mapping for all data sources.
Why it's wrong here
Automatic mapping can lead to errors and is not a best practice for data quality.
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
Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Data Model
- Profiling and Auditing
- Data Quality
- Governance
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
Data Model
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. Data Model Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
Quick reference
Access Control Model Comparison
| Model | Acronym | Who Controls Access? | Best For |
|---|---|---|---|
| Discretionary Access Control | DAC | Resource owner | Small teams, file shares |
| Mandatory Access Control | MAC | System / security labels | Classified govt / military |
| Role-Based Access Control | RBAC | Administrator (via roles) | Enterprise environments |
| Attribute-Based Access Control | ABAC | Policy engine (user + resource attributes) | Fine-grained, dynamic policies |
| Rule-Based Access Control | RuBAC | System rules / ACLs | Firewall rules, network ACLs |
What to study next
Got this wrong? Here's your next step.
Review data Model, then practise related AI Associate questions on the same topic to reinforce the concept.
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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 — Data Model.
What is the correct answer to this question?
The correct answer is: Create profiling and auditing dashboards to monitor data health. — Option B is correct because creating profiling and auditing dashboards helps monitor data health and governance, ensuring data quality for Einstein AI predictions. Option D is correct because using Data Cloud's data model to establish relationships between objects is fundamental for accurate predictions and ensures data integrity. Option A is incorrect because uniqueness rules on calculated insights are not a standard data quality practice. Option C is incorrect because while role-based access controls contribute to governance, they are not a primary action for data quality and are less directly relevant to preparing data for AI predictions. Option E is incorrect because enabling automatic field mapping for all data sources may introduce errors without proper validation and does not directly address data quality.
What should I do if I get this AI Associate question wrong?
Review data Model, then practise related AI Associate questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Data Model
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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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