Are Amazon SAA-C03 Actual Questions Effective to Get Certified?

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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Resilient Architectures26%- Design highly available and fault-tolerant architectures
  • 1. Load balancing and auto scaling
  • 2. Replication and disaster recovery strategies
  • 3. Regions, Availability Zones, and edge locations
- Design decoupled and loosely coupled systems
  • 1. Serverless and managed service integration
  • 2. Event-driven architectures
  • 3. Messaging and queue services
- Design for reliability and recovery
  • 1. Failover and failback processes
  • 2. Backup and restore mechanisms
Design Secure Architectures30%- Design secure workloads and applications
  • 1. Network security (VPC, security groups, NACLs)
  • 2. Data protection and encryption (at rest/in transit)
  • 3. Compliance and governance controls
- Design for security and threat detection
  • 1. Incident response and security automation
  • 2. Monitoring and logging services
- Design secure access to AWS resources
  • 1. Identity and access management (IAM, IAM Identity Center)
  • 2. Shared responsibility model
  • 3. Security best practices and least privilege
  • 4. Multi-account access and control
Design Cost-Optimized Architectures20%- Control and monitor costs
  • 1. Resource tagging and allocation
  • 2. Cost management tools and alerts
- Design cost-effective compute and network solutions
  • 1. Data transfer cost optimization
  • 2. Right-sizing and reserved instances
  • 3. Serverless and pay-as-you-go models
- Identify cost-effective storage solutions
  • 1. Storage classes and lifecycle policies
  • 2. Data retention and archiving
Design High-Performing Architectures24%- Design high-performance storage solutions
  • 1. Storage types (object, block, file)
  • 2. Caching and content delivery
  • 3. Storage performance and durability
- Design high-performance networking solutions
  • 1. Global acceleration and routing
  • 2. Network architecture and connectivity
  • 3. Latency reduction and throughput optimization
- Design high-performance compute solutions
  • 1. Instance types and sizing
  • 2. Scaling and performance optimization
  • 3. Compute options (EC2, Lambda, ECS, EKS)

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q338-Q343):

NEW QUESTION # 338
A company needs a solution to prevent photos with unwanted content from being uploaded to the company's web application. The solution must not involve training a machine learning (ML) model.
Which solution will meet these requirements?

Answer: D

Explanation:
Amazon Rekognition provides pretrained models that can detect inappropriate or unsafe content (such as nudity or violence) without requiring users to build their own ML models. Using a Lambda function to call Rekognition when new photos are uploaded is a serverless and scalable solution.
Reference: AWS Documentation - Amazon Rekognition Content Moderation


NEW QUESTION # 339
A company website hosted on Amazon EC2 instances processes classified data stored in The application writes data to Amazon Elastic Block Store (Amazon EBS) volumes The company needs to ensure that all data that is written to the EBS volumes is encrypted at rest.
Which solution will meet this requirement?

Answer: A


NEW QUESTION # 340
A company has an application hosted in an Auto Scaling group of Amazon EC2 instances across multiple Availability Zones behind an Application Load Balancer. There are several occasions where some instances are automatically terminated after failing the HTTPS health checks in the ALB and then purges all the ephemeral logs stored in the instance. A Solutions Architect must implement a solution that collects all of the application and server logs effectively. She should be able to perform a root cause analysis based on the logs, even if the Auto Scaling group immediately terminated the instance.
What is the EASIEST way for the Architect to automate the log collection from the Amazon EC2 instances?

Answer: C

Explanation:
The EC2 instances in an Auto Scaling group have a path, or lifecycle, that differs from that of other EC2 instances. The lifecycle starts when the Auto Scaling group launches an instance and puts it into service.
The lifecycle ends when you terminate the instance, or the Auto Scaling group takes the instance out of service and terminates it.
You can add a lifecycle hook to your Auto Scaling group so that you can perform custom actions when instances launch or terminate.
When Amazon EC2 Auto Scaling responds to a scale out event, it launches one or more instances.
These instances start in the Pending state. If you added an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook to your Auto Scaling group, the instances move from the Pending state to the Pending:Wait state. After you complete the lifecycle action, the instances enter the Pending:Proceed state. When the instances are fully configured, they are attached to the Auto Scaling group and they enter the InService state.
When Amazon EC2 Auto Scaling responds to a scale in event, it terminates one or more instances.
These instances are detached from the Auto Scaling group and enter the Terminating state. If you added an autoscaling:EC2_INSTANCE_TERMINATING lifecycle hook to your Auto Scaling group, the instances move from the Terminating state to the Terminating:Wait state. After you complete the lifecycle action, the instances enter the Terminating:Proceed state. When the instances are fully terminated, they enter the Terminated state.

Using CloudWatch agent is the most suitable tool to use to collect the logs. The unified CloudWatch agent enables you to do the following:
- Collect more system-level metrics from Amazon EC2 instances across operating systems. The metrics can include in-guest metrics, in addition to the metrics for EC2 instances. The additional metrics that can be collected are listed in Metrics Collected by the CloudWatch Agent.
- Collect system-level metrics from on-premises servers. These can include servers in a hybrid environment as well as servers not managed by AWS.
- Retrieve custom metrics from your applications or services using the StatsD and collectd protocols.
StatsD is supported on both Linux servers and servers running Windows Server. collectd is supported only on Linux servers.
- Collect logs from Amazon EC2 instances and on-premises servers, running either Linux or Windows Server.



You can store and view the metrics that you collect with the CloudWatch agent in CloudWatch just as you can with any other CloudWatch metrics. The default namespace for metrics collected by the CloudWatch agent is CWAgent, although you can specify a different namespace when you configure the agent.
Hence, the correct answer is: Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance-terminate Lifecycle Action Auto Scaling Event with an associated Lambda function. Trigger the CloudWatch agent to push the application logs and then resume the instance termination once all the logs are sent to CloudWatch Logs.
The option that says: Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Pending:Wait state to delay the termination of the unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance-terminate Lifecycle Action Auto Scaling Event with an associated Lambda function. Set up an AWS Systems Manager Automation script that collects and uploads the application logs from the instance to a CloudWatch Logs group. Configure the solution to only resume the instance termination once all the logs were successfully sent is incorrect because the Pending:Wait state refers to the scale-out action in Amazon EC2 Auto Scaling and not for scale-in or for terminating the instances.
The option that says: Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of the unhealthy Amazon EC2 instances. Set up AWS Step Functions to collect the application logs and send them to a CloudWatch Log group. Configure the solution to resume the instance termination as soon as all the logs were successfully sent to CloudWatch Logs is incorrect because using AWS Step Functions is inappropriate in collecting the logs from your EC2 instances. You should use a CloudWatch agent instead.
The option that says: Add a lifecycle hook to your Auto Scaling group to move instances in the Terminating state to the Terminating:Wait state to delay the termination of the unhealthy Amazon EC2 instances. Configure a CloudWatch Events rule for the EC2 Instance Terminate Successful Auto Scaling Event with an associated Lambda function. Set up the AWS Systems Manager Run Command service to run a script that collects and uploads the application logs from the instance to a CloudWatch Logs group.
Resume the instance termination once all the logs are sent is incorrect because although this solution could work, it entails a lot of effort to write a custom script that the AWS Systems Manager Run Command will run. Remember that the scenario asks for a solution that you can implement with the least amount of effort. This solution can be simplified by automatically uploading the logs using a CloudWatch Agent. You have to use the EC2 Instance-terminate Lifecycle Action event instead. References:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroupLifecycle.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/cloud-watch-events.html#terminate-successful
https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-delay-termination/ Check out this AWS Auto Scaling Cheat Sheet:
https://tutorialsdojo.com/aws-auto-scaling/


NEW QUESTION # 341
A company uses an Amazon EC2 instance to handle requests for a public web application. The application routes traffic to multiple application pages by using URL paths.
The company begins to experience large surges of traffic at unpredictable times. The traffic surges cause the web application to experience issues and to occasionally become unavailable.
The company needs to make the web application more scalable to handle sudden increases in traffic.
Which solution will meet this requirement?

Answer: A

Explanation:
To handle unpredictable traffic surges and improve scalability, Auto Scaling is essential. Creating an AMI and deploying it into an Auto Scaling group behind an Application Load Balancer (ALB) allows AWS to automatically scale the number of EC2 instances based on demand.
This architecture improves availability and responsiveness by distributing traffic and launching instances when needed. Option A satisfies the need for high scalability and resilience. Other options either lack Auto Scaling or are more complex without added benefit in this context.


NEW QUESTION # 342
A company is migrating a document management application to AWS. The application runs on Linux servers. The company will migrate the application to Amazon EC2 instances in an Auto Scaling group. The company stores 7 TiB of documents in a shared storage file system. An external relational database tracks the documents.
Documents are stored once and can be retrieved multiple times for reference at any time. The company cannot modify the application during the migration. The storage solution must be highly available and must support scaling over time.
Which solution will meet these requirements MOST cost-effectively?

Answer: A

Explanation:
Requirement Analysis: The company needs highly available, scalable storage for a document management application without modifying the application during migration.
EFS Overview: Amazon EFS provides scalable file storage that can be mounted concurrently on multiple EC2 instances across different Availability Zones.
EFS Standard-IA: Using the Standard-IA storage class helps reduce costs for infrequently accessed data while maintaining high availability and scalability.
Implementation:
Create an EFS file system.
Configure mount targets in multiple Availability Zones to ensure high availability.
Mount the EFS file system on EC2 instances in the Auto Scaling group.
Conclusion: This solution meets the high availability, scalability, and cost-effectiveness requirements without needing application modifications.
Reference
Amazon EFS: Amazon EFS Documentation
EFS Storage Classes: Amazon EFS Storage Classes


NEW QUESTION # 343
......

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