- A
Enable row-level security in DynamoDB using AWS Lake Formation.
Why wrong: Lake Formation does not integrate with DynamoDB for row-level security.
- B
Configure a VPC endpoint with a bucket policy to restrict access to specific items.
Why wrong: VPC endpoints control network access, not item-level access.
- C
Use Amazon Cognito identity pools with IAM roles that include conditions based on user attributes.
Cognito can map user attributes to IAM roles with fine-grained policies.
- D
Store user-specific items in separate S3 buckets and use IAM policies to restrict bucket access.
Why wrong: This is for S3, not DynamoDB.
- E
Use IAM policies with condition keys like 'dynamodb:LeadingKeys' to restrict access to items with a specific partition key value.
The LeadingKeys condition allows restricting access to items with a specific partition key.
Quick Answer
The correct answer involves using IAM policies with condition keys like `dynamodb:LeadingKeys` to restrict item access based on a user’s partition key value. This works because DynamoDB evaluates the condition against the item’s partition key at query time, allowing you to enforce that a user can only read or write items where the partition key matches their unique identifier, such as a user ID from Cognito. On the AWS Certified Data Engineer Associate DEA-C01 exam, this pattern tests your understanding of how to combine Cognito identity pools with IAM roles to achieve attribute-based access control without hardcoding permissions—a common scenario for multi-tenant applications. A frequent trap is confusing table-level IAM policies with item-level control; remember that `dynamodb:LeadingKeys` only works when the partition key is the leading key in your query. Memory tip: think “LeadingKeys leads to user-specific keys.”
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Which TWO of the following are valid approaches to implement fine-grained access control for Amazon DynamoDB items based on user attributes? (Choose 2.)
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 Amazon Cognito identity pools with IAM roles that include conditions based on user attributes.
Option C is correct because Amazon Cognito identity pools can be configured to assume IAM roles with fine-grained policies that use condition keys such as `dynamodb:LeadingKeys` or custom attribute-based conditions. This allows access to DynamoDB items to be restricted based on user-specific attributes (e.g., user ID) without hardcoding permissions per user.
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.
- ✗
Enable row-level security in DynamoDB using AWS Lake Formation.
Why it's wrong here
Lake Formation does not integrate with DynamoDB for row-level security.
- ✗
Configure a VPC endpoint with a bucket policy to restrict access to specific items.
Why it's wrong here
VPC endpoints control network access, not item-level access.
- ✓
Use Amazon Cognito identity pools with IAM roles that include conditions based on user attributes.
Why this is correct
Cognito can map user attributes to IAM roles with fine-grained policies.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Store user-specific items in separate S3 buckets and use IAM policies to restrict bucket access.
Why it's wrong here
This is for S3, not DynamoDB.
- ✓
Use IAM policies with condition keys like 'dynamodb:LeadingKeys' to restrict access to items with a specific partition key value.
Why this is correct
The LeadingKeys condition allows restricting access to items with a specific partition key.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse DynamoDB's fine-grained access control with S3 bucket policies or Lake Formation row-level security, mistakenly applying S3 or data lake concepts to DynamoDB item-level permissions.
Detailed technical explanation
How to think about this question
Under the hood, DynamoDB's fine-grained access control uses IAM condition keys like `dynamodb:LeadingKeys` to match the partition key value of an item, enabling row-level security without separate tables per user. This approach leverages the fact that DynamoDB queries are scoped to a single partition key, so the condition is evaluated against the request's key value. In a real-world scenario, a multi-tenant application can use Cognito to map each user to a unique partition key (e.g., `userId`), and the IAM policy ensures users can only read/write items where `LeadingKeys` equals their own user ID.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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 DEA-C01 question test?
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Amazon Cognito identity pools with IAM roles that include conditions based on user attributes. — Option C is correct because Amazon Cognito identity pools can be configured to assume IAM roles with fine-grained policies that use condition keys such as `dynamodb:LeadingKeys` or custom attribute-based conditions. This allows access to DynamoDB items to be restricted based on user-specific attributes (e.g., user ID) without hardcoding permissions per user.
What should I do if I get this DEA-C01 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: Jun 24, 2026
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services 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 DEA-C01 exam.
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