SAA-C03 Exam Dumps - Amazon Web Services AWS Certified Associate Questions and Answers

AWS DataSync provides managed, incremental, parallelized transfers between EFS file systems across Regions, supporting scheduled or continuously running tasks with automatic change detection, encryption in transit, and integrity verification. You can configure two tasks in opposite directions (bi-directional) to achieve two-way synchronization with high availability using agents in each Region and EFS locations connected via VPC endpoints. Native EFS replication (B) is one-way (read-only target) and not intended for active/active two-way sync. Options A and D rely on custom rsync and cross-Region mounts or SFTP, which introduce operational overhead, latency, and fail to provide resilient, managed synchronization. DataSync minimizes operational burden while delivering fault-tolerant, scalable, cross-Region EFS sync.

To enable DNS resolution from AWS VPCs to on-premises DNS servers over Direct Connect or VPN, AWS recommends using Amazon Route 53 Resolver with outbound endpoints. An outbound endpoint allows DNS queries originating in the VPC to be forwarded to a customer-managed DNS server (e.g., on-prem).

Next, a forwarding rule (Forward type) must be created to forward DNS queries for the custom domain internal.example.com to the on-premises DNS IP addresses. This rule defines what domain names are forwarded and to which DNS servers.

Finally, the rule must be associated with all workload VPCs to allow those VPCs to use the rule. There is no need to deploy endpoints in every VPC — one outbound endpoint is sufficient and can be shared across VPCs via rule association.

???? Reference:

Route 53 Resolver Endpoints

Best practices for hybrid DNS resolution

The requirement is for workloads inside a VPC to resolve private DNS names that are hosted on-premises over a VPN connection. The most secure and AWS-recommended method to achieve this is to use Amazon Route 53 Resolver outbound endpoints with forwarding rules.

Option A enables DNS queries that originate in the VPC to be securely forwarded to on-premises DNS servers through the VPN connection. A Route 53 Resolver outbound endpoint provides elastic, managed DNS forwarding capability without exposing DNS services to the public internet. By creating a Resolver rule, the company can define which domain names (for example, internal corporate domains) should be forwarded to specific on-premises DNS IP addresses. Associating the rule with the VPC ensures only authorized VPCs can use this resolution path.

Option B is used for the opposite scenario: when on-premises systems need to resolve private DNS names hosted in AWS, not when AWS needs to resolve on-premises names. Option C is invalid because Route 53 private hosted zones can only be associated with VPCs, not directly with on-premises networks. Option D is insecure because it exposes internal service records publicly and violates the requirement for private DNS.

Therefore, A is the most secure solution because it keeps DNS resolution private, uses managed AWS infrastructure, integrates cleanly with VPN connectivity, and follows AWS hybrid DNS best practices.

Option B: FSx for Lustre is designed for HPC workloads with high IOPS.

Option E: A cluster placement group ensures low-latency networking for HPC analytics workloads.

Option A: Amazon EFS is not optimized for HPC.

Option D: Mountpoint for S3 does not meet high IOPS needs.

To achieve high availability for the website, two key actions should be taken:

Amazon RDS for MySQL Multi-AZ: By migrating the database to an RDS for MySQL Multi-AZ deployment, the database becomes highly available. Multi-AZ provides automatic failover from the primary database to a standby replica in another Availability Zone, ensuring database availability even in the case of an AZ failure.

Application Load Balancer and Auto Scaling: Deploying an Application Load Balancer (ALB) in front of the EC2 instances ensures that traffic is evenly distributed across the instances. Configuring an Auto Scaling group to run EC2 instances across multiple Availability Zones ensures that the application remains available even if one instance or one AZ becomes unavailable. This setup enhances fault tolerance and improves reliability.

Why Not Other Options?:

Option A (Internet Gateway per AZ): Internet Gateways are region-wide resources and do not need to be provisioned per Availability Zone. This option does not contribute to high availability.

Option C (DynamoDB + Auto Scaling): DynamoDB would require changes to the application code to switch from MySQL, which is not possible per the question ' s constraints.

Option D (DataSync): AWS DataSync is used for data transfer and synchronization, not for achieving high availability for a database.

AWS References:

Amazon RDS Multi-AZ Deployments- Explanation of how Multi-AZ deployments work in Amazon RDS.

Application Load Balancing- Details on how to configure and use ALB for distributing traffic across multiple instances.

The key requirements are shared storage, SMB protocol support, and least administrative overhead. Amazon FSx for Windows File Server is a fully managed AWS service designed specifically to provide native SMB file shares compatible with Windows-based workloads and SMB clients.

Option D is the optimal solution because FSx for Windows File Server eliminates the need to manage operating systems, patching, backups, file server clustering, and availability. AWS handles infrastructure management, scaling, and availability, while providing high-performance file storage that integrates seamlessly with Active Directory and supports standard Windows file permissions and SMB semantics. This makes it ideal for media applications that rely on shared file access.

Option A (Storage Gateway Volume Gateway) is designed primarily for hybrid environments that extend on-premises storage into AWS, not for cloud-native shared file systems. Option B (Tape Gateway) is intended for backup and archival workflows, not active file access. Option C requires significant operational overhead, including OS maintenance, security patching, scaling, and high availability design.

Therefore, D meets all requirements with the least administrative effort while providing a scalable, secure, and highly available SMB-compatible storage solution.

To improve availability and fault tolerance of an Amazon RDS instance, the recommended approach is to configure a Multi-AZ deployment.

Multi-AZ deployments for RDS automatically replicate data to a standby instance in a different Availability Zone (AZ).

If a failure occurs in the primary AZ (due to hardware, network, or power), RDS will automatically failover to the standby instance with minimal downtime, without administrative intervention.

This is an AWS-managed feature and does not require application modification.

It does not provide scalability or load balancing; it ' s designed for high availability and resiliency.

Options A, B, and D are incorrect:

A refers to cross-Region, which is used for disaster recovery, not high availability.

B and D with SQS do not address high availability directly for the RDS instance; queues help decouple systems but do not make a database more resilient.

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Amazon RDS Multi-AZ Deployments

Amazon S3 is the most cost-effective option for archiving data. Using AWS DMS to migrate to S3 in Apache Parquet format provides an optimized columnar format for analytics. By storing in S3 Glacier Flexible Retrieval, costs are minimized while maintaining compliance with retention. When queries are required, Athena can run SQL queries directly on archived data in S3 without provisioning infrastructure. Options A and B rely on maintaining RDS or EC2 instances, which increases cost and operational overhead. Option C requires full restores to EC2 before running queries, which is slow and inefficient. Therefore, D provides the lowest operational overhead and direct query capability with Athena.

AmazonKinesis Data Streamsis the best choice for this scenario:

Message throughput: Kinesis Data Streams supports high throughput with enhanced fan-out and dedicated throughput for consumers.

Large message size: Supports message sizes up to 1 MB, meeting the 500 KB requirement.

Message retention: Data streams can retain messages for up to 365 days.

Strict ordering: Guarantees message ordering within shards.

Why Other Options Are Not Ideal:

Option B:

While SQS FIFO supports strict ordering, SNS topics do not. SNS also does not natively support message retention or strict ordering across consumers.Does not meet requirements.

Option C:

EventBridge does not provide strict ordering guarantees or message retention beyond 24 hours.Does not meet requirements.

Option D:

SNS topics with Data Firehose are not designed for use cases requiring strict ordering or long message retention.Does not meet requirements.

AWS References:

Amazon Kinesis Data Streams:AWS Documentation - Kinesis Data Streams

AWS Messaging Services Comparison:AWS Documentation - Messaging Services

This solution directly addresses the scalability and high availability requirements with minimal downtime.

Additional Reader Instances: Adding more reader instances to the Aurora cluster will distribute the read load, improving the performance of the application under heavy read traffic. Aurora reader instances automatically replicate the data from the writer instance, enabling you to scale out read operations.

Amazon RDS Proxy: RDS Proxy improves database availability by managing database connections more efficiently and providing a connection pool. This reduces the overhead on the Aurora cluster during peak loads, further enhancing performance and availability without requiring changes to the application code.

Why Not Other Options?:

Option A (EventBridge and Lambda): This doesn’t directly address the performance and availability issues. Logging state changes and adding reader nodes on failure events doesn’t provide proactive scalability.

Option B (Zero-Downtime Restart and Activity Streams): Zero-Downtime Restart (ZDR) is useful for minimizing downtime during maintenance but doesn’t directly improve scalability. Database Activity Streams are more for security monitoring than for performance enhancement.

Option D (ElastiCache for Redis): While adding a caching layer can help with read performance, it introduces complexity and may not be necessary if additional reader instances can handle the load.

AWS References:

Amazon Aurora Scaling- Information on scaling Aurora clusters with reader instances.

Amazon RDS Proxy- Details on how RDS Proxy can improve database performance and availability.

AWS Global Accelerator is the best answer because it providesstatic anycast IP addressesand routes users to the optimal healthy endpoint over the AWS global network. AWS documentation explains that Global Accelerator continuously monitors endpoint health and redirects traffic to the next best healthy endpoint almost immediately, which avoids dependence on DNS resolver caching or client-side IP caching. That is especially important for low-latency global applications such as Voice over IP. Route 53 geolocation routing does not provide the same fast failover characteristics, and CloudFront is not the service for generic bidirectional VoIP application traffic. (docs.aws.amazon.com)

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The first step is to configure a delegated administrator account for IAM Access Analyzer at the organization level. Only after delegating the administrator account can you aggregate Access Analyzer findings from all member accounts into a designated audit account. This must be set up in the AWS Organizations management account.

AWS Documentation Extract:

“You must designate a delegated administrator for IAM Access Analyzer at the organization level. The delegated administrator account aggregates findings from all member accounts.”

(Source: IAM Access Analyzer documentation)

A, C, D: These steps do not establish the organization-wide aggregation required for Access Analyzer.

For high availability, Amazon ElastiCache for Redis supports Multi-AZ with automatic failover, which provides primary and replica nodes in different Availability Zones. If the primary node fails, Redis automatically promotes a replica to primary.

From AWS Documentation:

“When you enable Multi-AZ with automatic failover, Amazon ElastiCache automatically detects failures and promotes a read replica to primary with minimal downtime.”

(Source: Amazon ElastiCache for Redis User Guide)

Why B is correct:

Multi-AZ provides automatic failover and data replication.

Ensures continuous availability and protects against node or AZ failures.

Fully managed with no manual intervention needed.

Why others are incorrect:

A: Manual promotion is not automatic.

C & D: Restoring from backup is slow and meant for disaster recovery, not failover.

To improve scalability and availability, EC2 Auto Scaling across multiple Availability Zones with an Application Load Balancer ensures resilient infrastructure. Migrating to Amazon Aurora MySQL with reader endpoints reduces read latency by offloading read traffic to replicas in otherAZs, while also increasing high availability.

Why Option C is Correct:

S3 Access Points: Provide scalable management of access to large datasets with specific permissions for individual prefixes.

Dynamic Prefixes: Access points simplify managing access to a growing number of prefixes without relying solely on a single bucket policy.

Fine-Grained Control: Resource-based permissions on access points enforce prefix-level isolation effectively.

Why Other Options Are Not Ideal:

Option A: Using deny/allow bucket policies introduces complexity and is less scalable for dynamic prefixes.

Option B: Encryption ensures data security but does not address access management.

Option D: Pre-signed URLs are temporary and not suitable for managing access at scale.

AWS References:

Amazon S3 Access Points:AWS Documentation - S3 Access Points

Elastic Beanstalk traffic splitting is the best operationally efficient deployment option for testing a new application version with a controlled portion of live traffic. Traffic splitting is effectively a canary-style deployment that routes a defined percentage of production traffic to the new version while monitoring health before full rollout. This minimizes disruption because Elastic Beanstalk manages much of the deployment orchestration, health evaluation, and rollback behavior. Manually changing ALB listener rules adds unnecessary operational work and increases the chance of routing mistakes. Replacing all EC2 instances in the Auto Scaling group risks broader production impact. Lambda weighted aliases apply to Lambda functions and are not the correct deployment mechanism for an Elastic Beanstalk application running on EC2 behind an ALB.