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

When using imported key material with AWS KMS, you maintain control over the key lifecycle. AWS KMS allows you to import new key material into an existing KMS key (of type " external " or " imported " ), thus rotating the key material without changing the key ID or ARNs. This enables applications to continue using the same key for cryptographic operations without disruption.

You can also set an expiration time for the old key material, after which AWS KMS deletes the old material and requires new key material to be imported, enforcing regular rotation per your compliance requirements.

AWS Documentation Extract:

" To rotate imported key material, you can re-import new key material into the same KMS key. This retains the same key ID and ARNs so applications are unaffected. You can set an expiration time for imported key material and replace it as needed, ensuring compliance with your rotation policy. "

(Source: AWS Key Management Service Developer Guide, Importing Key Material, Rotating Key Material)

Other options:

A: You cannot create a new KMS key with the same key ID as an existing one.

B: Deleting and recreating the key disrupts application access because the key ID changes.

D: Automatic rotation is only available for AWS-managed keys, not for imported key material.

AWS provides EBS Block Public Access at the organization level in AWS Organizations. When enabled, it prevents any EBS snapshot—across all member accounts—from being shared publicly.

This is an organization-wide control implemented centrally, with no need for per-account configuration, monitoring rules, or custom IAM policy enforcement.

AWS Config (Option A) would only detect issues after they occur. IAM restrictions (Option C) are less effective because snapshot permission changes can occur through multiple paths. CloudTrail (Option D) only logs events and does not block public sharing.

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When an application is fronted by an Application Load Balancer (ALB) and malicious traffic is detected from a specific IP, the correct way to block the IP is by using AWS WAF (Web Application Firewall).

With AWS WAF, you can create an IP Set to include the offending IP address or range.

Then create a Web ACL (Access Control List) with a rule set to BLOCK requests from that IP set.

Finally, associate the Web ACL with the ALB.

Security groups (Option A) cannot deny specific IPs because they are stateful and allow-only rules.

Amazon Detective (Option B) is a security analysis and investigation tool; it doesn’t block traffic.

AWS RAM (Option C) is for resource sharing across accounts, not for blocking IPs.

This approach aligns with AWS’s Security Pillar of the Well-Architected Framework and is fully managed, with minimal operational effort.

🔗 Reference:

Using AWS WAF with an Application Load Balancer

Block IPs with AWS WAF

This solution leverages:

Amazon Redshift Spectrum to query S3 data directly from Redshift.

Amazon Athena for ad-hoc analysis of S3 data.

Amazon QuickSight for unified visualization from multiple data sources.

“Redshift Spectrum enables you to run queries against exabytes of data in Amazon S3 without having to load or transform the data.”

“QuickSight supports both Amazon Redshift and Amazon Athena as data sources.”

— Redshift Spectrum

— Amazon QuickSight Supported Data Sources

This architecture allows scalable querying and visualization with minimum ETL overhead, ideal for BI dashboards.

Incorrect Options:

A: The query editor is not a BI tool.

B, D: Grafana is better for time-series data, not structured analytics or BI reports.

Amazon DynamoDB supports both TTL (Time to Live) for automatic deletion and Point-in-Time Recovery (PITR) for backup and restore of table data. It ' s ideal for frequently updated data with short retention requirements and minimal operational overhead.

TTL attribute ensures expired items are automatically removed.

PITR enables recovery from accidental deletes or application errors.

The most cost-effective and scalable solution for generating thumbnails when photos are uploaded to an S3 bucket is to useS3 event notificationsto trigger anAWS Lambda function. This approach avoids the need for a long-running EC2 instance or EMR cluster, making it highly cost-effective because Lambda only charges for the time it takes to process each event.

S3 Event Notifications: Automatically triggers the Lambda function when a new photo is uploaded to the S3 bucket.

AWS Lambda: A serverless compute service that scales automatically and only charges for execution time, which makes it the most economical choice when dealing with periodic events like photo uploads.

The Lambda function can generate the thumbnail and upload it to a second S3 bucket, fulfilling the requirement efficiently.

Option AandOption B(EMR or EC2 with scheduled scripts)**: These are less cost-effective as they involve continuously running infrastructure, which incurs unnecessary costs.

Option D (S3 Storage Lens): S3 Storage Lens is a tool for storage analytics and is not designed for event-based photo processing.

AWS References:

Amazon S3 Event Notifications

AWS Lambda Pricing

Amazon EFS provides a regional, shared file system that EC2 instances in multiple Availability Zones can access concurrently. An EFS lifecycle policy can move files that have not been accessed recently to the lower-cost EFS Infrequent Access storage class, eliminating duplicated EBS copies while retaining file-system semantics. Amazon S3 is another cost-effective solution for immutable map objects. The application can retrieve the objects directly, and an S3 Lifecycle rule can transition older, infrequently accessed maps to S3 Standard-IA. EBS volumes are Availability Zone resources and are not a general-purpose shared cross-AZ file system. FSx for Lustre is designed primarily for high-performance computing workloads, while FSx for OpenZFS would provide features and performance beyond the stated static-content requirement. Therefore, EFS and S3 are the two appropriate managed storage options.

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Amazon Aurora Serverless is a cost-effective, on-demand, autoscaling configuration for Amazon Aurora. It automatically adjusts the database ' s capacity based on the current demand, which is ideal for workloads with variable and unpredictable usage patterns. Since the application is expected to be read-heavy with occasional writes and steady growth, Aurora Serverless can provide the necessary performance without requiring the management of database instances.

Cost-Optimization: Aurora Serverless only charges for the database capacity you use, making it a more cost-effective solution compared to always running provisioned database instances, especially for workloads with fluctuating demand.

Scalability: It automatically scales database capacity up or down based on actual usage, ensuring that you always have the right amount of resources available.

Performance: Aurora Serverless is built on the same underlying storage as Amazon Aurora, providing high performance and availability.

Why Not Other Options?:

Option A (RDS with Provisioned IOPS SSD): While Provisioned IOPS SSD ensures consistent performance, it is generally more expensive and less flexible compared to the autoscaling nature of Aurora Serverless.

Option C (DynamoDB with On-Demand Capacity): DynamoDB is a NoSQL database and may not be the best fit for applications requiring relational database features.

Option D (RDS with Magnetic Storage and Read Replicas): Magnetic storage is outdated and generally slower. While read replicas help with read-heavy workloads, the overall performance might not be optimal, and magnetic storage doesn’t provide the necessary performance.

AWS References:

Amazon Aurora Serverless- Information on how Aurora Serverless works and its use cases.

Amazon Aurora Pricing- Details on the cost-effectiveness of Aurora Serverless.