SAA-C03 Exam Dumps - AWS Certified Solutions Architect - Associate (SAA-C03)

Comprehensive and Detailed Step-by-Step Explanation:

The goal is totransfer 500 GB dailyfrom multiple global locationsquicklyintoa single S3 bucketwhile keeping operational complexity low.

Option A:✅

Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.

S3 Transfer Acceleration (S3-TA)allowsfasterglobal uploads by routing traffic throughAmazon CloudFront’s globally distributed edge locations.

Multipart uploadsimprove efficiency bybreaking large filesinto smaller parts, transferring them in parallel.

Low operational complexity: No need for additional resources or manual replication.

Why is this best?It ensureshigh-speed transferswhileminimizing complexity.

The requirements are high availability, scalability for traffic spikes, and least administrative overhead. Option C matches established AWS reference patterns: use an Application Load Balancer + Auto Scaling group for the web tier and a managed database service with Multi-AZ for the database tier.

For the web application, placing EC2 instances in an Auto Scaling group across multiple Availability Zones allows the fleet to scale out automatically during the promotional event and to scale in afterward, preserving performance while controlling cost. The Application Load Balancer distributes requests across instances and AZs and removes unhealthy instances from rotation, improving availability.

For the database, Amazon RDS Multi-AZ is the simplest managed HA solution for relational engines, including SQL Server. Multi-AZ provides synchronous replication to a standby instance in another Availability Zone and supports automatic failover. This reduces administrative effort because AWS handles replication, failover orchestration, backups, and underlying infrastructure maintenance within service capabilities. It also ensures database availability during instance or AZ-level disruptions.

Option A is problematic because RDS for SQL Server does not use read replicas as the primary HA mechanism the way Aurora does, and focusing on replicas does not directly address HA in the simplest supported form. Option B and D rely on self-managed SQL Server on EC2, which requires significant operational overhead (patching, backups, replication setup, failover testing, monitoring, and recovery). Option B also suggests multi-Region replication, which adds complexity and is not required to meet “highly available and scalable” for a single-event scale scenario.

Therefore, C provides scalable compute with managed load balancing and managed database high availability, meeting the requirements with the least operational burden.

A. Aurora MySQL:Handles OLTP workloads efficiently with built-in replication and auto-scaling capabilities.

B. EC2 with MySQL:Requires heavy manual maintenance and does not scale seamlessly.

C. RDS for MySQL:Limited in auto-scaling compared to Aurora.

D. Redshift:Primarily for OLAP, not suitable for OLTP workloads.

AWS Application Migration Service (AWS MGN) is the recommended tool for a lift-and-shift strategy, especially for time-sensitive migrations. It automates the replication of on-premises VMs to AWS, minimizing the effort required for migration and testing.

Key steps:

Replication with AWS MGN: The AWS Replication Agent is installed on the VMs to continuously replicate data to AWS, allowing you to manage migration easily.

Testing and Cutover: Initial replication allows for testing in AWS before performing the final cutover, ensuring that the migration process is smooth and data integrity is maintained.

AWS Documentation: AWS MGN is recommended for migrating virtual machines to the cloud with minimal downtime and disruption​​.

Comprehensive and Detailed 250 to 300 words of Explanation (AWS documentation-based, no links):

The security requirement is preventive: “prevent the deployment” of IAM roles that contain an overly permissive inline policy (Allow on Action:* and Resource:*). Preventive enforcement should occur at deployment time so noncompliant IAM resources are blocked before they exist. In a Control Tower-governed environment where resources are provisioned through CloudFormation, the most appropriate mechanism is a proactive control that evaluates templates and denies noncompliant stack operations.

Option A matches this intent. Control Tower proactive controls are designed to provide preventative guardrails by checking resource configurations (including Infrastructure as Code deployments) against defined rules and blocking deployments that violate policy. This stops risky IAM roles from being created in the first place, which is preferable to after-the-fact detection and cleanup.

Options B, C, and D are detective or reactive patterns. Detective controls (and AWS Config rules) can identify noncompliance after resources are created, but that does not “prevent deployment.” Even if remediation is automated (Option C), there is still a window where an overly permissive role exists and could be assumed or exploited. Option D only notifies, which is insufficient. Option B suggests deleting policies on deployment, but Control Tower detective controls are not intended to automatically delete deployed IAM policies; they primarily detect and report drift/noncompliance.

Therefore, A is the best solution because it enforces the requirement proactively by blocking noncompliant CloudFormation deployments, maintaining a stronger security posture and reducing operational burden associated with detection and remediation.

An S3 Bucket Key reduces the cost of using AWS KMS for server-side encryption by decreasing the number of requests made to KMS. By enabling S3 Bucket Key, the company can meet its encryption requirements with KMS keys while optimizing costs by reducing the number of KMS API requests.

Key AWS features:

Cost Optimization: S3 Bucket Keys reduce the frequency of KMS calls, optimizing the cost associated with encryption while still using AWS KMS for key management.

Compliance with KMS Encryption: This solution continues to meet the strict encryption requirements of the company by using KMS managed keys.

AWS Documentation: Using an S3 Bucket Key is recommended for organizations looking to optimize encryption costs without compromising security​​.

The least operational overhead approach is to use AWS Directory Service with AWS Managed Microsoft AD and establish a trust relationship with the existing on-premises Microsoft Active Directory. This pattern lets employees continue using their existing corporate credentials while AWS operates the directory infrastructure (patching, monitoring, availability, and domain controller management), reducing the burden compared to building and maintaining custom federation components. With a trust in place, identities and group memberships from the on-premises directory can be used for authentication and authorization workflows in AWS.

To provide role-based access to AWS resources and the AWS Management Console, users should assume IAM roles that grant permissions based on job function. IAM roles with appropriate trust policies enable temporary credentials and least-privilege access without creating long-lived IAM users for every employee. This aligns with AWS best practices of centralized identity management and using roles for access control.

Option B is not a standard direct integration pattern: IAM does not “LDAP bind” directly to on-premises AD for console access. Option C can work (custom identity broker + STS) but increases operational overhead because the company must build, secure, operate, and maintain the broker, including availability, updates, and incident response. Option D is not the typical solution for employee console federation from AD; Amazon Cognito is primarily aimed at customer identity and application sign-in, not as the primary mechanism for workforce console access to AWS accounts.

Therefore, A provides the required federation with the smallest operational footprint while supporting role-based access control.