Free SAA-C03 Exam Braindumps
AWS Certified Solutions Architect - Associate SAA-C03 Questions 241–245 (page: 50)

Updated On: 16-Mar-2026

An online learning company is migrating to the AWS Cloud. The company maintains its student records in a PostgreSQL database. The company needs a solution in which its data is available and online across multiple AWS Regions at all times.
Which solution will meet these requirements with the LEAST amount of operational overhead?

  1. Migrate the PostgreSQL database to a PostgreSQL cluster on Amazon EC2 instances.
  2. Migrate the PostgreSQL database to an Amazon RDS for PostgreSQL DB instance with the Multi-AZ feature turned on.
  3. Migrate the PostgreSQL database to an Amazon RDS for PostgreSQL DB instance. Create a read replica in another Region.
  4. Migrate the PostgreSQL database to an Amazon RDS for PostgreSQL DB instance. Set up DB snapshots to be copied to another Region.

Answer(s): C

Explanation:

The correct answer is C because cross-region read replicas provide low-latency, highly available access to writes via the primary while serving reads from replicas in another Region, meeting global availability with minimal operational overhead.
A) EC2-hosted PostgreSQL requires manual maintenance, backups, failover setup, and multi-region replication not managed by AWS; higher operational burden.
B) Multi-AZ provides high availability within a single Region, not cross-region access.
D) Cross-region snapshots are not a live, readily accessible database replica and do not provide continuous online access across Regions.



A company hosts its web application on AWS using seven Amazon EC2 instances. The company requires that the IP addresses of all healthy EC2 instances be returned in response to DNS queries.
Which policy should be used to meet this requirement?

  1. Simple routing policy
  2. Latency routing policy
  3. Multivalue routing policy
  4. Geolocation routing policy

Answer(s): C

Explanation:

A) C is correct because Multivalue routing policy allows Route 53 to return up to eight healthy IP addresses for a current DNS query, enabling the client to connect to any healthy EC2 instance among the seven. The policy works with health checks to ensure only healthy endpoints are returned. B) Latency routing policy returns a single IP for the best latency region, not a list of IPs. C) Simple routing policy returns a single value or none, not multiple healthy endpoints. D) Geolocation routing directs to endpoints based on user location, not to all healthy instances.



A medical research lab produces data that is related to a new study. The lab wants to make the data available with minimum latency to clinics across the country for their on-premises, file-based applications. The data files are stored in an Amazon S3 bucket that has read-only permissions for each clinic.
What should a solutions architect recommend to meet these requirements?

  1. Deploy an AWS Storage Gateway file gateway as a virtual machine (VM) on premises at each clinic
  2. Migrate the files to each clinic’s on-premises applications by using AWS DataSync for processing.
  3. Deploy an AWS Storage Gateway volume gateway as a virtual machine (VM) on premises at each clinic.
  4. Attach an Amazon Elastic File System (Amazon EFS) file system to each clinic’s on-premises servers.

Answer(s): A

Explanation:

The correct answer is A. A Storage Gateway file gateway provides SMB/NFS-compatible access to S3 objects with on-premises caching, giving low-latency file access to clinics while keeping the data in S3 with read-only permissions.
B is incorrect because DataSync is for accelerating one-time or scheduled transfer to cloud storage, not providing ongoing low-latency file access to on-premises apps.
C is incorrect because a volume gateway presents iSCSI block storage, not native file-based access compatible with on-premises file apps and S3-backed data.
D is incorrect because attaching EFS to on-premises servers is not supported for direct low-latency access to S3-backed data; EFS is for cloud-based EC2 instances and does not integrate with S3 in this scenario.



A company is using a content management system that runs on a single Amazon EC2 instance. The EC2 instance contains both the web server and the database software. The company must make its website platform highly available and must enable the website to scale to meet user demand.
What should a solutions architect recommend to meet these requirements?

  1. Move the database to Amazon RDS, and enable automatic backups. Manually launch another EC2 instance in the same Availability Zone. Configure an Application Load Balancer in the Availability Zone, and set the two instances as targets.
  2. Migrate the database to an Amazon Aurora instance with a read replica in the same Availability Zone as the existing EC2 instance. Manually launch another EC2 instance in the same Availability Zone. Configure an Application Load Balancer, and set the two EC2 instances as targets.
  3. Move the database to Amazon Aurora with a read replica in another Availability Zone. Create an Amazon Machine Image (AMI) from the EC2 instance. Configure an Application Load Balancer in two Availability Zones. Attach an Auto Scaling group that uses the AMI across two Availability Zones.
  4. Move the database to a separate EC2 instance, and schedule backups to Amazon S3. Create an Amazon Machine Image (AMI) from the original EC2 instance. Configure an Application Load Balancer in two Availability Zones. Attach an Auto Scaling group that uses the AMI across two Availability Zones.

Answer(s): C

Explanation:

The correct answer is C because it decouples the database with Amazon Aurora across AZs for high availability, uses an AMI-based ASG across two AZs to enable automatic scaling, and distributes traffic with an ALB in multiple AZs for fault tolerance.
A) Keeps DB on RDS but places both web and DB in one AZ; lacks cross-AZ scaling and replica-based HA for the web tier. B) Uses Aurora read replica in same AZ and manual instance, which limits HA and scaling; no multi-AZ web tier. D) Keeps DB on EC2, adds S3 backups but uses a single AMI-based ASG; still relies on unstable single DB EC2 and lacks proper RDS/HA architecture.



A company is launching an application on AWS. The application uses an Application Load Balancer (ALB) to direct traffic to at least two Amazon EC2 instances in a single target group. The instances are in an Auto Scaling group for each environment. The company requires a development environment and a production environment. The production environment will have periods of high traffic.
Which solution will configure the development environment MOST cost-effectively?

  1. Reconfigure the target group in the development environment to have only one EC2 instance as a target.
  2. Change the ALB balancing algorithm to least outstanding requests.
  3. Reduce the size of the EC2 instances in both environments.
  4. Reduce the maximum number of EC2 instances in the development environment’s Auto Scaling group.

Answer(s): D

Explanation:

The correct answer is D. Reducing the maximum number of EC2 instances in the development environment’s Auto Scaling group lowers baseline capacity and cost while preserving ability to scale up if needed, aligning with cost-efficient dev usage.
A) Incorrect because limiting to one instance may save cost but reduces redundancy and fault tolerance; not as flexible as ASG scaling.
B) Incorrect because changing the ALB algorithm affects request routing, not cost; both environments still maintain multiple targets.
C) Incorrect because reducing instance size in both environments may degrade performance in prod and doesn’t specifically optimize dev cost with scalable limits.



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