SAA-C03 Timed Practice Test 5 — 10 Questions

Question 1

A payments API uses an RDS MySQL database and must remain available during an Availability Zone failure with minimal application changes. What should the architect enable? The team wants the control to be enforceable during normal operations.

Accepted Answer

Multi-AZ deployment for the RDS DB instance. Multi-AZ deployment for RDS MySQL automatically provisions and synchronously replicates a standby instance in a different Availability Zone. In the event of an AZ failure, Amazon RDS automatically fails over to the standby, providing high availability with minimal application changes (the application only needs to reconnect using the same endpoint). This meets the requirement of remaining available during an AZ failure while being enforceable during normal operations.

Answer

S3 Cross-Region Replication

Answer

Read replicas only

Answer

EBS snapshots every hour

Question 2

A team runs a latency-sensitive service on EC2 and needs consistent, low-latency block storage for a database. The application requires predictable performance and should be fast for random reads/writes. Which EBS volume type is the best choice?

Accepted Answer

EBS gp3 (general purpose SSD). B is correct because gp3 is a general-purpose SSD volume that provides consistent, low-latency performance for random read/write operations, making it ideal for latency-sensitive database workloads. It offers a baseline of 3,000 IOPS and 125 MB/s throughput, with the ability to independently scale up to 16,000 IOPS and 1,000 MB/s, ensuring predictable performance without the burst-bucket limitations of gp2.

Answer

EBS st1 (throughput optimized HDD)

Answer

EBS sc1 (cold HDD)

Answer

EBS magnetic (legacy magnetic)

Question 3

A startup runs a mix of workloads using both EC2 instances and AWS Lambda functions. Over the next 12 months, the team expects the overall level of compute usage to be fairly steady, but they may change EC2 instance types for performance tuning and they may add or remove Lambda functions. They want the lowest-cost commitment that will discount *both* EC2 and Lambda usage without requiring them to commit to a specific EC2 instance family (or a fixed instance type). Which AWS option best meets this requirement?

Accepted Answer

Purchase a Compute Savings Plan with a 1-year term for the expected average hourly spend across both EC2 and Lambda.. B is correct because a Compute Savings Plan offers the lowest cost commitment that covers both EC2 and Lambda usage, with flexibility to change instance families, sizes, regions (within the same AWS organization), and even switch between EC2 and Fargate. It applies a consistent hourly discount to compute usage up to the committed amount, regardless of instance type or compute service, meeting the startup's need for a steady workload with potential changes.

Answer

Purchase an EC2 Instance Reserved Instance for the current instance family only, and rely on On-Demand pricing for Lambda and any future EC2 types.

Answer

Purchase a Standard Reserved Instance for a specific Region and use it only to reduce network egress/transfer charges.

Answer

Use EC2 Spot for EC2 workloads and keep Lambda on-demand, because Spot will automatically discount Lambda too.

Question 4

A video processing pipeline runs batch jobs that are safe to interrupt and restart. The jobs checkpoint progress to durable storage every few minutes, and the team can automatically resubmit from the last checkpoint. They want to minimize compute cost while accepting that capacity can be interrupted. Which launch configuration for the processing workers is the best cost-optimized choice?

Accepted Answer

Launch the worker nodes as Spot Instances, and configure the job resubmission logic to restart from checkpoints upon interruption.. Spot Instances offer significant cost savings (up to 90% compared to On-Demand) and are ideal for fault-tolerant, interruptible workloads. Since the pipeline checkpoints progress to durable storage and can automatically resume from the last checkpoint, using Spot Instances minimizes compute cost while accepting interruptions.

Answer

Launch the worker nodes as On-Demand Instances with no interruption handling so the pipeline never needs resubmission.

Answer

Launch the worker nodes as Reserved Instances to guarantee capacity and reduce cost, ignoring interruptions.

Answer

Use Savings Plans and also set the job scheduler to never start new jobs unless previous jobs finish without interruption.

Question 5

A web application runs on an Amazon EC2 Auto Scaling group behind an Application Load Balancer (ALB). After each deployment, new instances take about 2 minutes to download artifacts and become ready to accept requests on the target port. In the last deployment, the ALB started marking targets unhealthy before the app was ready, and the Auto Scaling group then replaced those instances repeatedly, causing a prolonged outage. Which change best improves resilience during instance start-up without reducing actual availability once the application is healthy?

Accepted Answer

Increase the Auto Scaling group’s health check grace period so it exceeds the ~2-minute initialization time.. The Auto Scaling group's health check grace period allows instances to initialize without being marked unhealthy by the ELB health checks. By setting this grace period to exceed the ~2-minute artifact download time, the ASG will not replace instances that are still starting up, preventing the cascade of terminations and redeployments that caused the outage. This directly addresses the root cause—premature health check failures—without changing the health check configuration or reducing availability once the app is ready.

Answer

Add more subnets across additional Availability Zones to distribute the same instances more widely.

Answer

Switch the load balancer target type from instance targets to IP targets to avoid health check failures.

Answer

Reduce the ALB health check interval so unhealthy targets are removed faster.

Question 6

Based on the exhibit, which change best reduces latency during peak traffic without overprovisioning the fleet?

Accepted Answer

Change the Auto Scaling policy to target tracking on ALB RequestCountPerTarget.. Option B is correct because using a target tracking scaling policy on ALB RequestCountPerTarget dynamically adjusts the fleet size based on the actual number of requests each instance receives. This ensures that during peak traffic, additional instances are added only when needed, reducing latency by distributing the load without overprovisioning. It directly addresses the goal of minimizing latency during spikes while maintaining cost efficiency.

Answer

Replace the instances with a larger instance family so each server has more headroom.

Answer

Use scheduled scaling to add instances only during the business hours peak window.

Answer

Replace the ALB with a Network Load Balancer to reduce request latency.

Question 7

A web application for a healthcare document service is behind an Application Load Balancer. The application must be protected from common SQL injection and cross-site scripting attacks with minimum operational overhead. What should the architect deploy?

Accepted Answer

AWS WAF associated with the Application Load Balancer. AWS WAF is a web application firewall that can be associated with an Application Load Balancer to filter and monitor HTTP/HTTPS requests. It includes managed rule sets specifically designed to block common web exploits like SQL injection and cross-site scripting (XSS) with minimal operational overhead, as AWS manages the rule updates.

Answer

Security groups on the application instances

Answer

Network ACLs on the public subnets

Answer

AWS Shield Advanced only

Question 8

A service runs in private subnets. It must call AWS APIs (for example, S3 and Secrets Manager). The team currently sends all outbound traffic through a NAT Gateway, and NAT charges have become a major cost driver. The workload must not traverse the public internet. What change most directly reduces NAT Gateway cost while maintaining private connectivity to those AWS services?

Accepted Answer

Replace the NAT Gateway route with VPC endpoints: use a Gateway VPC endpoint for S3 and an Interface VPC endpoint for Secrets Manager.. Option B is correct because VPC endpoints allow private connectivity to AWS services without traversing the internet or a NAT Gateway. A Gateway VPC endpoint for S3 uses route table entries to reach S3 privately, and an Interface VPC endpoint for Secrets Manager uses an elastic network interface with a private IP. This eliminates NAT Gateway data processing charges entirely while keeping traffic within the AWS network.

Answer

Continue using the NAT Gateway but reduce CloudWatch log retention to 1 day.

Answer

Launch a bastion host in a public subnet and force private instances to use SSH tunneling for API calls.

Answer

Switch to public subnets and attach security groups with the same rules to limit inbound access.

Question 9

A inventory service exposes a static website from S3 and CloudFront. Users should still receive cached pages if the S3 origin has a short outage. Which feature helps most? The team wants the control to be enforceable during normal operations.

Accepted Answer

CloudFront caching with appropriate TTLs. CloudFront caching with appropriate TTLs allows the distribution to serve stale or cached content from edge locations even when the S3 origin is temporarily unavailable. By setting a minimum TTL (e.g., 0 seconds) and a default/max TTL (e.g., 86400 seconds), CloudFront can continue to respond to user requests with previously cached objects during an origin outage, ensuring high availability. This feature is enforceable during normal operations because the TTL settings are configured in the CloudFront distribution behavior and are always active, not just during failures.

Answer

AWS Backup Vault Lock

Answer

IAM Access Analyzer

Answer

S3 Select

Question 10

An EC2 workload runs in one region on a single instance type. For the last month, CloudWatch metrics show average CPU utilization of 12% and no sustained memory pressure. The team wants to reduce cost while maintaining the current performance level. What is the best first step?

Accepted Answer

Use AWS Compute Optimizer to get recommendations for instance type and size changes.. AWS Compute Optimizer analyzes historical utilization metrics (CPU, memory, I/O) and provides actionable recommendations for right-sizing instances. Given the average CPU utilization of only 12% and no memory pressure, Compute Optimizer will likely recommend a smaller instance type or family that matches the workload's actual resource needs, reducing cost without affecting performance.

Answer

Increase the instance size to reduce the risk of performance regression.

Answer

Switch to Spot Instances immediately to reduce cost regardless of utilization.

Answer

Disable detailed monitoring to lower CloudWatch charges.