Pass the Amazon Web Services AWS Certified Associate SAA-C03 Questions and answers with CertsForce

AWS documents that Amazon Macie supportsautomated sensitive data discovery, which continuously discovers and reports sensitive data in S3. AWS also documents that Macie findings can be processed automatically by usingAmazon EventBridge, including sending those events to a Lambda function for remediation or downstream processing. That combination provides continuous monitoring with low operational overhead and avoids the custom scheduling and job-launch logic in the other options. Because the question explicitly asks for continuous monitoring and low overhead, Macie automated sensitive data discovery plus EventBridge-triggered Lambda remediation is the best fit.

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To ensure ALB access only via CloudFront, AWS prescribes restricting the origin to traffic from CloudFront. For ALB origins, the standard pattern is to allow inbound to the ALB only from CloudFront edge IP ranges using security groups or ALB listener rules. Network ACLs are coarse and stateless and add operational burden. CloudFront does not have a “VPC origin” object; instead, CloudFront references the ALB DNS name. By limiting the ALB’s security group to CloudFront IP ranges, direct client access to the ALB is blocked while CloudFront remains permitted. This aligns with security best practices to “restrict origin access to only CloudFront” and use SGs for instance/ALB layer controls.

Application Load Balancer (ALB) supports HTTP/HTTPS layer 7 routing, including header-based routing, path-based routing, and host-based routing.

AWS WAF is designed to provide rules-based filtering (block, allow, count) of HTTP(S) requests to protect applications from common exploits and malicious traffic.

ALB integrates directly with AWS WAF, so you can attach a web ACL with custom rules defined by the security team to block specific patterns while still using header-based routing.

Why the others are not correct:

A: Mutual TLS adds client certificate authentication but does not provide rules-based blocking or WAF-style inspection.

C: AWS Config is for configuration compliance and auditing, not request filtering.

D: NLB operates at layer 4 (TCP/UDP); it does not support HTTP header-based routing.

Amazon Aurora MySQL provides:

Continuous, incremental backups to Amazon S3 with point-in-time recovery (PITR), allowing recovery to any point within the retention window (typically up to 35 days). This easily achieves an RPO of less than 5 hours, often down to seconds.

Support for database auditing parameters so audit logs can be retained and managed (for example, in database logs or external log services) to meet the 7-day audit requirement.

Auto scaling (via read replicas, Aurora Serverless v2, or capacity management) to handle variable read/write demand throughout the year with minimal operational overhead.

Why others are less suitable:

A: DynamoDB is NoSQL and does not directly satisfy typical relational database + SQL audit requirements; Streams also only retain 24 hours, not 7 days, and on-demand backups do not inherently give an RPO < 5 hours without frequent scheduling.

B: Amazon Redshift is a data warehouse, not a primary transactional application database.

C: Snapshots every 5 hours give an RPO of up to 5 hours, not less than 5 hours, and rely on discrete snapshot points rather than continuous PITR.

AWS recommends usingSystems Manager Session Managerinstead of direct SSH for administrative access because it provides browser-based or CLI-based access without bastion hosts and supports centralized audit logging. To allow private instances to reach Systems Manager without internet exposure, the VPC needs the appropriateinterface VPC endpoint. The managed instances also need the proper instance permissions, and AWS documentation points to theAmazonSSMManagedInstanceCorepolicy for that purpose. A gateway endpoint is not used for Session Manager, and attaching a user-facing Session Manager policy to the EC2 instances themselves is the wrong permission model. This makesB and Ethe most operationally efficient and secure combination. (AWS Documentation)

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Amazon S3 is designed for durability, scalability, and millisecond access. For small monthly data volumes (300 MB), S3 Standard is cost-effective and provides immediate access. To meet 30-day retention, Lifecycle policies can automatically expire objects after the required time. For disaster recovery, S3 Cross-Region Replication (CRR) copies objects across Regions to a backup bucket, ensuring data resiliency. OpenSearch (A) is not needed because the requirement is storage and retrieval, not indexing. Aurora or RDS options (C, D) add unnecessary complexity and cost, as a relational database is not required for JSON storage and millisecond retrieval. Therefore, option B provides the simplest, most resilient, and cost-optimized solution.

IAM user creation and deletion are AWS API management events. CloudTrail records management events such as IAM CreateUser and DeleteUser API calls. EventBridge can match these CloudTrail events with an event pattern and route the matching events to an Amazon SNS topic. Subscribing the company’s email address to the SNS topic provides the required email notification. Amazon Inspector is for vulnerability and exposure findings, not IAM account-change monitoring. GuardDuty can detect suspicious IAM behavior, but it is not the correct service for deterministic notifications every time a user is created or deleted. Amazon Macie is focused on sensitive data discovery and data security findings in services such as Amazon S3, not IAM lifecycle events.

Amazon Route 53 is a highly available and scalable authoritative DNS service. To move a public domain, you create a public hosted zone, import or recreate the zone records, and then update the registrar to use the Route 53 name servers assigned to the zone. Route 53 is globally distributed and designed for rapid propagation and resilience, and supports features such as health checks and routing policies. A private hosted zone (Option B) is resolvable only by VPCs that are associated with it and is not for public internet DNS. Directory Service and zone transfers (Option C) are unrelated to Route 53 public DNS hosting. Route 53 Resolver inbound endpoints (Option D) provide hybrid DNS forwarding for VPC workloads, not authoritative public hosting. Therefore, the fastest AWS-native migration path to a resilient managed DNS is to create a Route 53 public hosted zone and import the existing zone file.

EMR managed scaling dynamically resizes the cluster by adding or removing nodes based on the workload. This feature helps minimize idle time and reduces costs by scaling the cluster to meet processing demands efficiently.

Option A:Increasing the number of core nodes might increase idle time further, as it does not address the root cause of underutilization.

Option C:Migrating the job to Lambda is infeasible for large analytics jobs due to resource and runtime constraints.

Option D:Changing to memory-optimized instances may not necessarily reduce idle time or optimize costs.

AWS Documentation References:

EMR Managed Scaling

The key issue is repeated reads of identical data from an RDS MySQL database, which leads to unnecessary database load and degraded performance. The AWS-recommended solution for this pattern is to introduce an in-memory cache between the application and the database.

Amazon ElastiCache (Redis OSS) is purpose-built for caching frequently accessed data with microsecond-level latency. By caching identical query results, the backend EC2 instances can serve responses directly from memory instead of repeatedly querying the database. This significantly reduces read pressure on the RDS instance and improves overall application performance and scalability.

Option B is correct because Redis integrates cleanly with EC2-based applications and supports advanced caching patterns such as key expiration, eviction policies, and fine-grained control over cached objects. This approach also improves resilience during traffic spikes by offloading work from the database.

Option A is incorrect because SNS is a messaging service and does not cache or accelerate database queries. Option C is incorrect because DynamoDB Accelerator (DAX) works only with DynamoDB tables, not Amazon RDS. Option D is designed for streaming data ingestion and analytics, not for optimizing synchronous database access.

Therefore, B is the correct solution because it addresses the root cause of the performance problem by caching repeated database reads, following AWS best practices for high-performing application architectures.

The requirements emphasize high availability across multiple Availability Zones, automatic recovery, and least operational overhead. The simplest way to achieve this for containerized microservices is to use a fully managed container orchestration service with serverless compute. Amazon ECS with the Fargate launch type provides exactly that.

With ECS Fargate, AWS manages the underlying compute infrastructure (no EC2 instances to provision, patch, scale, or secure at the OS level). You define task definitions and services, and ECS schedules tasks across Availability Zones based on your networking configuration (multiple subnets in different AZs). If a container fails, ECS service scheduling automatically replaces it, fulfilling the “recover from failures” requirement. Fargate also integrates with load balancing, CloudWatch logging, and scaling policies, reducing the operational burden of keeping the platform healthy.

Option A (ECS on EC2) is still managed orchestration, but it requires managing the EC2 capacity layer: AMI updates, instance patching, cluster capacity planning, and instance scaling. Option B (EKS with self-managed nodes) typically carries even more operational responsibility because you manage node groups, upgrades, and Kubernetes operational complexity in addition to the underlying instances. Option D is the highest operational overhead because it lacks managed scheduling and self-healing; you would need to build and maintain your own process manager and failover mechanisms.

Therefore, C is the best answer because it provides a managed, multi-AZ capable, self-healing container platform with minimal infrastructure management—matching the operational efficiency goal while maintaining high availability.

Storage Gateway Volume Gateway (Cached Volumes): This configuration allows you to store your primary data in Amazon S3 while retaining frequently accessed data locally in a cache for low-latency access.

Low-Latency Access: Frequently accessed data is cached locally on-premises, providing low-latency access while the less frequently accessed data is stored cost-effectively in Amazon S3.

Implementation:

Deploy a Storage Gateway appliance on-premises or in a virtual environment.

Configure it as a volume gateway with cached volumes.

Create volumes and configure your applications to use these volumes.

Minimal Infrastructure Changes: This solution integrates seamlessly with existing on-premises infrastructure, requiring minimal changes and reducing dependency on on-premises storage servers.

The correct solution is to create anIAM roleand attach it to the EC2 instance profile. AWS documentation states that applications running on EC2 should use IAM roles so the instance can receivetemporary credentials automaticallythrough the instance metadata service. This avoids embedding long-term access keys in code or on the server. DynamoDB supports IAM and temporary credentials, so the application can use the role’s permissions to access the table securely. EC2 key pairs are only for SSH access and have nothing to do with DynamoDB authorization. IAM users and long-term access keys are less secure and create unnecessary credential management overhead.

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The correct answer isCbecause the existing application usesNFS storagefor an image cache that isa few terabytes in size, and the company wants themost cost-effective cloud alternative.Amazon EFS One Zoneis a managed file storage service that supports theNFS protocol, which allows the application to continue using a familiar file-based interface with minimal architectural change. Because this is acache, not primary durable data, storing it in aOne Zonefile system is a cost-optimized choice compared with a Regional EFS deployment.

Amazon EFS is designed for shared file storage and can scale to multiple terabytes automatically. It avoids the operational overhead of managing EC2 instances and local disks for cache storage. It is also better aligned than object storage for workloads that already expect direct NFS semantics. The application can mount the EFS file system and use it as the cache backend without redesigning around object APIs or in-memory caching models.

Option A is incorrect becauseElastiCache Memcachedis an in-memory cache and is typically much more expensive for multi-terabyte cache data than file storage. Option B is incorrect because using EC2 instance store volumes creates significant management overhead and the cache would be lost whenever instances are terminated or replaced. Option D is incorrect becauseAmazon S3 Express One Zoneis object storage, not NFS storage, and would require application redesign and additional metadata management in DynamoDB.

AWS storage guidance recommends matching file-based workloads to managed file services. For a largeNFS-based cache,Amazon EFS One Zoneis the most cost-effective and operationally simple solution.

Durable storage of incoming orders with buffering and ability to handle surges is exactly what Amazon SQS is designed for. SQS provides highly durable, scalable queues that decouple producers from consumers.

Centrally tracking workflow steps is a core use case of AWS Step Functions, which gives a visual workflow and state machine, tracks the state of each order, and can orchestrate calls to multiple microservices (in this case, Lambda functions).

Combining SQS + Step Functions + Lambda gives:

Durable queueing for orders (SQS).

Loose coupling and surge handling (SQS decoupling + auto-scaling Lambda).

Central orchestration and tracking of order-processing steps (Step Functions).

Why the other options are not correct:

A: SNS is a pub/sub service, not a durable work queue, and is not designed for “store-and-retry until processed” workloads in the same way SQS is.

C: SQS + EventBridge provides decoupling but no central, stateful workflow tracking; EventBridge is event routing, not workflow orchestration.

D: SNS + EventBridge still lacks durable order storage and explicit centralized workflow/state tracking.

Memory Optimized Instances: These instances are designed to deliver fast performance for workloads that process large data sets in memory. They are ideal for high-performance databases like SAP and applications with high memory utilization.

High Memory Utilization: Both the SAP application and the SQL Server database have high memory demands as per the on-premises performance data. Memory optimized instances provide the necessary memory capacity and performance.

Instance Types:

For the SAP application, using a memory optimized instance ensures the application has sufficient memory to handle the high workload efficiently.

For the SQL Server database, memory optimized instances ensure optimal database performance with high memory throughput.

Operational Efficiency: Using the same instance family for both the application and the database simplifies management and ensures both components meet performance requirements.

This solution meets the company ' s requirements with minimal administrative overhead and ensures security and ease of management.

AWS AppConfig: AWS AppConfig is a service designed to manage application configuration in a secure and validated way. It allows you to deploy configurations safely and quickly without affecting the application ' s performance or availability.

AWS Secrets Manager: AWS Secrets Manager is specifically designed to manage, retrieve, and rotate credentials for databases and other services. It integrates seamlessly with AWS services like Amazon RDS, making it an ideal solution for securely storing and retrieving database credentials. Secrets Manager also provides automatic rotation of credentials, reducing the operational burden.

Why Not Other Options?:

Option B (AWS Lambda + Parameter Store): While AWS Lambda can be used for managing configurations and AWS Systems Manager Parameter Store can store credentials, this approach involves more manual setup and does not offer the same level of integrated management and security as AppConfig and Secrets Manager.

Option C (Encrypted S3 Configuration File): Storing configuration and credentials in S3 files involves more manual management and security considerations, increasing the administrative overhead.

Option D (AppConfig + RDS for credentials): RDS is not designed for storing application credentials; it ' s better suited for managing database instances and their configurations.

AWS References:

AWS AppConfig- Describes how to use AWS AppConfig for managing application configurations.

AWS Secrets Manager- Provides details on securely storing and retrieving credentials using AWS Secrets Manager.

IAM Identity Center (formerly AWS SSO) is designed for:

Federated access from external directories (e.g., Active Directory, Okta)

Centralized permission management

Support for MFA

Granular control via Attribute-based access control (ABAC)

“IAM Identity Center allows you to manage SSO access to AWS accounts and business applications centrally. You can assign users and groups permissions based on directory attributes such as Region and job role.”

— IAM Identity Center Docs

This option ensures:

Federated, centralized access

Region-specific permissions

MFA and role mapping via existing directory service

Amazon Macie: Detects sensitive data such as PII in S3 buckets using machine learning.

EventBridge Rule: Filters Macie findings for specific sensitive data events (e.g., SensitiveData).

SNS Notification: Provides real-time alerts to the security team for immediate action.

Amazon Macie Documentation,Amazon EventBridge Documentation

Amazon S3 Multi-Region Access Points allow applications to access S3 buckets in multiple Regions through a single global endpoint. This provides active-active read access with automatic routing to the closest bucket for low latency. With cross-Region replication, writes in the primary Region are automatically copied to the secondary Region, providing fault tolerance. Option A (CloudFront) provides caching and distribution, but does not address write replication or active-active bucket access. Option B (Transfer Acceleration) optimizes uploads across distances but does not enable cross-Region fault tolerance. Option C (AWS Backup) is designed for backup/restore, not real-time multi-Region reads and writes. Therefore, D is the correct solution for active-active read access and disaster recovery.