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Workload-Specific Database DesigneasyMultiple ChoiceObjective-mapped

DBS-C01 Workload-Specific Database Design Practice Question

Exhibit

Refer to the exhibit.

```
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "dynamodb:GetItem",
                "dynamodb:PutItem",
                "dynamodb:UpdateItem",
                "dynamodb:DeleteItem"
            ],
            "Resource": "arn:aws:dynamodb:us-east-1:123456789012:table/UserSessions",
            "Condition": {
                "ForAllValues:StringEquals": {
                    "dynamodb:LeadingKeys": ["${aws:userid}"]
                }
            }
        }
    ]
}
```

A company is implementing fine-grained access control for a DynamoDB table named UserSessions. The table has a partition key of 'user_id'. The above IAM policy is attached to an IAM role assumed by the application. What does this policy achieve?

⚠ Common exam trap

Candidates often confuse `aws:userid` with the IAM user name or the partition key value, or they assume the policy grants full access (Option A) without noticing the condition that enforces row-level security.

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

Restricts the application to access only items where the partition key matches the user's AWS user ID

The IAM policy uses a condition key `dynamodb:LeadingKeys` with a value of `${aws:userid}`. This restricts access to items in the DynamoDB table where the partition key (`user_id`) matches the unique identifier of the IAM user or role that is making the request. This implements fine-grained access control, ensuring the application can only read or write items belonging to the authenticated user.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Allows the application to perform all operations on the UserSessions table without restrictions

    Why it's wrong here

    The condition restricts access based on the partition key; it does not grant unrestricted access.

  • Restricts the application to access only items where the partition key matches the user's AWS user ID

    Why this is correct

    The condition uses 'aws:userid' to limit access to items with the corresponding partition key.

  • Allows the application to read but not write items in the UserSessions table

    Why it's wrong here

    The policy allows PutItem, UpdateItem, and DeleteItem, so write operations are permitted.

  • Allows the application to access only the UserSessions table but not other tables

    Why it's wrong here

    The policy grants access to the UserSessions table only, but with the condition, it further restricts to specific items.

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Last reviewed: Jun 11, 2026

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