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AWS DVA-C02 Drill: DynamoDB Fine-Grained Access Control - Role Condition Constraints

Jeff Taakey
Author
Jeff Taakey
21+ Year Enterprise Architect | AWS SAA/SAP & Multi-Cloud Expert.

Jeff’s Note
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Unlike generic exam dumps, ADH analyzes this scenario through the lens of a Real-World Lead Developer.

For DVA-C02 candidates, the confusion often lies in how to apply attribute-and-key-level IAM restrictions using web identity federation variables. In production, this is about knowing exactly how to craft IAM policy conditions that prevent unauthorized attribute changes while enabling scoped access. Let’s drill down.

The Certification Drill (Simulated Question)
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Scenario
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A mobile fitness tracking app called FitPulse stores user profiles in an Amazon DynamoDB table with four attributes: member_id, member_name, fitness_score, and fitness_rank. Users can only update their own member_name. Authentication is done using a web identity federation provider (like Facebook or Google).

The Requirement:
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You want to create an IAM role policy condition that allows users to call the dynamodb:PutItem API only if they update their own item identified by their unique member_id, and the only attribute they can change is member_name.

The Options
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  • A) "ForAllValues:StringEquals": {"dynamodb:LeadingKeys": ["${www.amazon.com:member_id}"], "dynamodb:Attributes": ["member_name"]}
  • B) "ForAllValues:StringEquals": {"dynamodb:LeadingKeys": ["${www.amazon.com:member_name}"], "dynamodb:Attributes": ["member_id"]}
  • C) "ForAllValues:StringEquals": {"dynamodb:LeadingKeys": ["${www.amazon.com:member_id}"], "dynamodb:Attributes": ["member_name","member_id"]}
  • D) "ForAllValues:StringEquals": {"dynamodb:LeadingKeys": ["${www.amazon.com:member_name}"], "dynamodb:Attributes": ["member_name","member_id"]}

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Correct Answer
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A.

Quick Insight: The Developer Imperative
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For DVA-C02, precisely controlling user updates via IAM condition keys like dynamodb:LeadingKeys and dynamodb:Attributes is essential for applying least privilege. The principal variable ${www.amazon.com:member_id} corresponds to the authenticated user’s ID via federation, ensuring users can update only their own partition key. Restricting attributes to "member_name" prevents unauthorized changes to fitness_score or fitness_rank.

Content Locked: The Expert Analysis
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You’ve identified the answer. But do you know the implementation details that separate a Junior from a Senior?


The Expert’s Analysis
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Correct Answer
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Option A

The Winning Logic
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Option A correctly ties the dynamodb:LeadingKeys condition to the user’s identity ${www.amazon.com:member_id}, meaning the operation is only allowed on the item whose partition key matches the authenticated user. Additionally, it restricts the PutItem call to modify only the member_name attribute, preventing unauthorized updates to fitness_score or fitness_rank. This enforces fine-grained security via IAM.

  • The ForAllValues:StringEquals operator states all leading keys and attributes in the request must match the listed values.
  • Using the web identity token variable ${www.amazon.com:member_id} is critical because the ID comes from the authenticator, ensuring user scoping.
  • Limiting the dynamodb:Attributes condition to a single attribute ensures only the allowed one is updated.

The Trap (Distractor Analysis):
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  • Option B: Uses ${www.amazon.com:member_name} as leading key, which is inaccurate. The partition key is member_id, not member_name. This causes the condition to fail regardless of the real user ID.
  • Option C: Allows the user to update both member_name and member_id attributes. Allowing changes to the partition key value compromises data integrity and authorization boundaries.
  • Option D: Similar to B, leading key references member_name instead of member_id, and it allows multiple attributes update, compounding both errors.

The Technical Blueprint
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{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "dynamodb:PutItem",
      "Resource": "arn:aws:dynamodb:region:account-id:table/FitPulseUsers",
      "Condition": {
        "ForAllValues:StringEquals": {
          "dynamodb:LeadingKeys": ["${www.amazon.com:member_id}"],
          "dynamodb:Attributes": ["member_name"]
        }
      }
    }
  ]
}

The Comparative Analysis
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Option IAM Condition Leading Key Allowed Attributes Impact on Security
A ${www.amazon.com:member_id} (correct key) member_name only Enforces least privilege, correct scoping
B ${www.amazon.com:member_name} (incorrect) member_id only Fails to scope by partition key, breaks integrity
C ${www.amazon.com:member_id} (correct key) member_name, member_id Allows partition key update, risk of data corruption
D ${www.amazon.com:member_name} (incorrect) member_name, member_id Combines both scope and attribute issues

Real-World Application (Practitioner Insight)
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Exam Rule
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For the exam, always map the partition key to the federated user ID variable in the IAM policy condition when restricting DynamoDB PutItem access, and limit writable attributes explicitly.

Real World
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In production, this approach enables multi-tenant SaaS apps to safely expose a single table to many users without risking data leakage or unintended overwrites. Using identity federation variables in condition keys is critical for scalable fine-grained access control.


(CTA) Stop Guessing, Start Mastering
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Disclaimer

This is a study note based on simulated scenarios for the AWS DVA-C02 exam.

The DevPro Network: Mission and Founder

A 21-Year Tech Leadership Journey

Jeff Taakey has driven complex systems for over two decades, serving in pivotal roles as an Architect, Technical Director, and startup Co-founder/CTO.

He holds both an MBA degree and a Computer Science Master's degree from an English-speaking university in Hong Kong. His expertise is further backed by multiple international certifications including TOGAF, PMP, ITIL, and AWS SAA.

His experience spans diverse sectors and includes leading large, multidisciplinary teams (up to 86 people). He has also served as a Development Team Lead while cooperating with global teams spanning North America, Europe, and Asia-Pacific. He has spearheaded the design of an industry cloud platform. This work was often conducted within global Fortune 500 environments like IBM, Citi and Panasonic.

Following a recent Master’s degree from an English-speaking university in Hong Kong, he launched this platform to share advanced, practical technical knowledge with the global developer community.


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