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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Solutions Architect - Associate |
| Exam Number: | SAA-C03 |
| Real Exam Qty: | 65 |
| Passing Score: | 720 / 1000 |
| Related Certifications: | AWS Certified Solutions Architect - Professional |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple Response, Multiple Choice |
| Available Languages: | English, Simplified Chinese, Korean, Japanese |
| Exam Price: | $150 USD |
| Exam Duration: | 130 minutes |
| Sample Questions: | Amazon SAA-C03 Sample Questions |
| Exam Way: | Online (Pearson VUE or PSI) or Test Center |
| Pre Condition: | No mandatory prerequisites. AWS recommends at least 1 year of hands-on experience designing distributed systems on AWS. |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-solutions-architect-associate/ |
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Amazon SAA-C03 Exam is a rigorous test of candidates' knowledge and skills in AWS architecture and design. It requires a solid understanding of AWS services and features, as well as the ability to apply that knowledge to real-world scenarios. Candidates who pass the exam demonstrate their ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS, making them highly valuable to employers looking to leverage AWS services.
NEW QUESTION # 635
A company developed a web application and deployed it on a fleet of EC2 instances that uses Amazon SQS. The requests are saved as messages in the SQS queue, which is configured with the maximum message retention period. However, after thirteen days of operation, the web application suddenly crashed and there are 10,000 unprocessed messages that are still waiting in the queue. Since they developed the application, they can easily resolve the issue but they need to send a communication to the users on the issue.
What information should they provide and what will happen to the unprocessed messages?
Answer: C
Explanation:
In Amazon SQS, you can configure the message retention period to a value from 1 minute to 14 days.
The default is 4 days. Once the message retention limit is reached, your messages are automatically deleted.
A single Amazon SQS message queue can contain an unlimited number of messages. However, there is a 120,000 limit for the number of inflight messages for a standard queue and 20,000 for a FIFO queue.
Messages are inflight after they have been received from the queue by a consuming component, but have not yet been deleted from the queue.
In this scenario, it is stated that the SQS queue is configured with the maximum message retention period. The maximum message retention in SQS is 14 days that is why the option that says: Tell the users that the application will be operational shortly and all received requests will be processed after the web application is restarted is the correct answer i.e. there will be no missing messages.
The options that say: Tell the users that unfortunately, they have to resubmit all the requests again and Tell the users that the application will be operational shortly, however, requests sent over three days ago will need to be resubmitted are incorrect as there are no missing messages in the queue thus, there is no need to resubmit any previous requests.
The option that says: Tell the users that unfortunately, they have to resubmit all of the requests since the queue would not be able to process the 10,000 messages together is incorrect as the queue can contain an unlimited number of messages, not just 10,000 messages.
Reference:
https://aws.amazon.com/sqs/
Check out this Amazon SQS Cheat Sheet:
https://tutorialsdojo.com/amazon-sqs/
NEW QUESTION # 636
A solutions architect is storing sensitive data generated by an application in Amazon S3. The solutions architect wants to encrypt the data at rest. A company policy requires an audit trail of when the AWS KMS key was used and by whom.
Which encryption option will meet these requirements?
Answer: C
Explanation:
SSE-KMS (Server-side encryption with AWS Key Management Service) not only encrypts data at rest but also integrates with AWS CloudTrail to provide detailed logs of key usage - meeting the audit requirement.
"SSE-KMS provides the ability to audit key usage to see who used the key and when, via AWS CloudTrail."
- Amazon S3 Encryption Documentation
Benefits:
* Encryption with customer-managed or AWS-managed KMS keys
* Audit trails of key usage events
* Fine-grained access control
Incorrect Options:
* A: SSE-S3 does not support auditing of key usage.
* C: SSE-C does not integrate with CloudTrail or KMS.
* D: Self-managed keys require external key infrastructure and custom audit logging.
References:
Using SSE-KMS with S3
AWS KMS Logging with CloudTrail
NEW QUESTION # 637
A company needs a solution to give customers the ability to upload encrypted files to a directory in an Amazon S3 bucket by using SFTP. After customers upload files, the solution must automatically decrypt the files and move them to a second directory within the same S3 bucket for downstream processing.
The solution must not require authentication services. The solution must fully automate all post-upload operations and require minimal ongoing operational overhead.
Which solution will meet these requirements? (Select THREE.)
Answer: A,C,D
Explanation:
The correct answers are A, C, and E because the company needs a fully managed solution for SFTP uploads to Amazon S3 , followed by automatic decryption and movement of files to another directory with minimal operational overhead . AWS Transfer Family is the best fit because it provides a managed SFTP endpoint directly integrated with Amazon S3. Configuring the S3 bucket as the home directory enables customers to upload files without the company needing to manage its own file transfer servers.
The requirement to avoid separate authentication services and minimize operational work is well served by native AWS Transfer Family workflows . A workflow can automatically run post-upload steps on files as they arrive. The DECRYPT action is specifically designed to decrypt uploaded encrypted files as part of the managed workflow. After decryption, the COPY action can place the processed file into the second directory in the same S3 bucket for downstream processing.
Option B is less appropriate because using S3 events and Lambda adds custom orchestration where a native Transfer Family workflow already handles the need more simply. Option D is incorrect because polling with an external script introduces unnecessary infrastructure and operational overhead. Option F is also incorrect because AWS Batch polling and custom decryption logic is far more complex than a managed file-transfer workflow.
AWS best practices favor managed services and native workflow features to reduce custom code and infrastructure management. Therefore, the best solution is to use AWS Transfer Family for SFTP uploads , along with Transfer Family workflow DECRYPT and COPY actions to automate the full post-upload process.
NEW QUESTION # 638
A company runs an on-premises application on a Kubernetes cluster. The company recently added millions of new customers. The company's existing on-premises infrastructure is unable to handle the large number of new customers. The company needs to migrate the on-premises application to the AWS Cloud.
The company will migrate to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The company does not want to manage the underlying compute infrastructure for the new architecture on AWS.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
AWS Fargate is a serverless compute engine for containers that works with Amazon EKS. With Fargate, you do not need to provision or manage EC2 instances or clusters. You simply define and deploy your pods, and Fargate automatically launches the required compute resources. This results in the lowest operational overhead because AWS manages the infrastructure. Fargate profiles allow you to specify which pods run on Fargate.
AWS Documentation Extract:
"AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. With Amazon EKS and Fargate, you only need to define your application's pods; Fargate provisions and manages the required compute resources for you." (Source: Amazon EKS documentation, AWS Fargate integration) Other options:
A: Self-managed nodes require you to manage EC2 instances.
B: Managed node groups reduce some overhead, but you are still responsible for patching and managing the EC2 instances.
D: Managed node groups with Karpenter automate scaling but do not remove the need to manage underlying instances.
Reference: AWS Certified Solutions Architect - Official Study Guide, EKS and Fargate Section.
NEW QUESTION # 639
A software company needs to upgrade a critical web application. The application is hosted in a public subnet.
The EC2 instance runs a MySQL database. The application ' s DNS records are published in an Amazon Route 53 zone.
A solutions architect must reconfigure the application to be scalable and highly available. The solutions architect must also reduce MySQL read latency.
Which combination of solutions will meet these requirements? (Select TWO.)
Answer: B,C
Explanation:
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.
Reference: AWS Documentation - Aurora Multi-AZ and EC2 Auto Scaling with ALB
NEW QUESTION # 640
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