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AWS DVA-C02 Drill: Secrets Management - Securing and Rotating SaaS API Credentials

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 AWS DVA-C02 candidates, the confusion often lies in how to securely store and rotate API credentials used by applications without manual intervention or exposing plaintext secrets. In production, this is about knowing exactly which AWS service best supports automatic rotation and seamless API integration. Let’s drill down.

The Certification Drill (Simulated Question)
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Scenario
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TechWave Innovations builds a cloud-native web application that interacts with a third-party SaaS API to fetch real-time analytics data. Currently, the API credentials required to authenticate to the external SaaS vendor are stored as plaintext in a configuration file checked into the application’s code repository. The development team wants to improve the security posture by eliminating plaintext credentials storage, enforcing automatic rotation of those credentials every 90 days, and enabling the application to access credentials programmatically at run time without manual updates or redeployments.

The Requirement:
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Secure the external SaaS API credentials with seamless programmatic access and enforce quarterly automated credential rotation.

The Options
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  • A) Use AWS Key Management Service (AWS KMS) to encrypt the configuration file. Decrypt the configuration file each time the application makes API calls to the SaaS vendor. Enable rotation within KMS.
  • B) Retrieve temporary credentials from AWS Security Token Service (AWS STS) every 15 minutes. Use the temporary credentials when the application makes API calls to the SaaS vendor.
  • C) Store the credentials in AWS Secrets Manager and enable rotation. Configure the application to retrieve credentials programmatically from Secrets Manager.
  • D) Store the credentials in AWS Systems Manager Parameter Store and enable rotation. Retrieve the credentials at runtime when the application makes API calls to the SaaS vendor.

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Correct Answer
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C

Quick Insight: The Developer Imperative
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AWS Secrets Manager is designed specifically for storing, securely retrieving, and automatically rotating secrets for applications, making it the ideal choice here. Understanding this API is vital for DVA-C02 success.

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 C

The Winning Logic
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AWS Secrets Manager offers native capabilities to securely store credentials and automatically rotate secrets based on Lambda functions or native integrations. The application can retrieve these secrets via the Secrets Manager API or SDK at runtime with proper IAM permissions, eliminating hardcoded plaintext credentials. Secrets Manager rotation supports scheduled, automatic rotation without application redeployment, which meets the quarterly rotation requirement elegantly.

As a lead developer, you must understand how to integrate AWS SDK calls such as GetSecretValue to retrieve credentials dynamically and how to configure rotation Lambda functions.

The Trap (Distractor Analysis):
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  • Why not A?
    AWS KMS is excellent for encryption, but encrypting the entire config file and decrypting on each API call adds operational complexity and does not natively support automatic credential rotation. KMS key rotation is for encryption keys, not the credentials inside the file.

  • Why not B?
    AWS STS provides temporary AWS credentials for AWS API calls, not third-party SaaS API credentials. It cannot generate or rotate external SaaS vendor API keys.

  • Why not D?
    Systems Manager Parameter Store can store secrets but lacks built-in automatic rotation features like Secrets Manager. While it supports encrypted parameters, rotation must be manually orchestrated, increasing operational overhead.


The Technical Blueprint
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# Example: Retrieve secret from AWS Secrets Manager in Python (Boto3)
import boto3
import base64
from botocore.exceptions import ClientError

def get_secret(secret_name, region_name):
    client = boto3.client('secretsmanager', region_name=region_name)
    try:
        response = client.get_secret_value(SecretId=secret_name)
        return response['SecretString']
    except ClientError as e:
        raise e

The Comparative Analysis
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Option API Complexity Performance Use Case
A Moderate (KMS SDK calls) Decrypt on every call adds latency Encrypting entire config files, no rotation
B High (STS API/auth) Not applicable for external SaaS credentials Temporary AWS creds, not third-party API keys
C Moderate (Secrets Manager API) Optimized for secret retrieval, with caching possible Secure storage + auto rotation for secrets
D Low (Parameter Store API) Manual rotation can cause drift or stale creds Encrypted storage but no native rotation

Real-World Application (Practitioner Insight)
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Exam Rule
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For the exam, always pick AWS Secrets Manager when you see the keywords “secret rotation” and “programmatic access” for API credentials.

Real World
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In real-world projects, Parameter Store is suitable for less critical secrets or configuration values without rotation needs, but Secrets Manager is the recommended best practice for sensitive credentials and automated rotations.


(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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