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The AWS-Solutions-Architect-Associate certification exam is a valuable credential for professionals working in cloud computing. It can help them demonstrate their expertise in designing and deploying AWS solutions and services and increase their career prospects. With the right preparation and study, candidates can pass the exam and earn the AWS Certified Solutions Architect - Associate (SAA-C02) certification.

The AWS-Solutions-Architect-Associate exam consists of multiple-choice and multiple-response questions, and the time limit for the exam is 130 minutes. AWS-Solutions-Associate Exam is available in English, Japanese, Korean, and Simplified Chinese, and it can be taken at any Pearson VUE testing center worldwide.

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The AWS-Solutions-Associate (AWS Certified Solutions Architect - Associate (SAA-C02)) Certification Exam is an industry-recognized certification that validates an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS). AWS-Solutions-Associate exam is intended for individuals who have experience in designing and deploying applications on AWS and are looking to validate their skills and knowledge in this field. AWS Certified Solutions Architect - Associate (SAA-C03) certification exam covers a wide range of AWS services, including compute, storage, networking, security, and database services.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q191-Q196):

NEW QUESTION # 191
A company's operations teams has an existing Amazon S3 bucket configured to notify an Amazon SQS queue when new object are created within the bucket. The development team also wants to receive events when new objects are created. The existing operations team workflow must remain intact.
Which solution would satisfy these requirements?

A. Create an Amazon SNS topic and SQS queue for the bucket updates. Update the bucket to send events to the new topic Add subscription for both queue in the topic.
B. Create a new SQS queue that only allows Amazon S3 to access the queue, Update Amazon S3 update this queue when a new object is created
C. Create an Amazon SNS topic and SQS queue for the Update. Update the bucket to send events to the new topic. Updates both queues to poll Amazon SNS.
D. Create another SQS queue Update the S3 events in bucket to also update the new queue when a new object is created.

Answer: C

NEW QUESTION # 192
An application running on an Amazon EC2 instance needs to securely access tiles on an Amazon Elastic File System (Amazon I tile system. The EFS tiles are stored using encryption at rest. Which solution for accessing the tiles is MOST secure?

A. Store the encryption key in the code of the application
B. Enable TLS when mounting Amazon EFS
C. Store the encryption key in an Amazon S3 bucket and use IAM roles to grant the EC2 instance access permission
D. Enable AWS Key Management Service (AWS KMS) when mounting Amazon EFS

Answer: A

NEW QUESTION # 193
A company runs a Node.js function on a server in its on-premises data center. The data center stores data in a PostgreSQL database. The company stores the credentials in a connection string in an environment variable on the server. The company wants to migrate its application to AWS and to replace the Node.js application server with AWS Lambda. The company also wants to migrate to Amazon RDS for PostgreSQL and to ensure that the database credentials are securely managed.
Which solution will meet these requirements with the LEAST operational overhead?

A. Store the database credentials as an encrypted Lambda environment variable. Write a custom Lambda function to rotate the credentials. Schedule the Lambda function to run every 30 days.
B. Store the database credentials as a secret in AWS Secrets Manager. Configure Secrets Manager to automatically rotate the credentials every 30 days Update the Lambda function to retrieve the credentials from the secret.
C. Store the database credentials as a key in AWS Key Management Service (AWS KMS). Configure automatic rotation for the key. Update the Lambda function to retrieve the credentials from the KMS key.
D. Store the database credentials as a parameter in AWS Systems Manager Parameter Store. Configure Parameter Store to automatically rotate the secrets every 30 days. Update the Lambda function to retrieve the credentials from the parameter.

Answer: B

Explanation:
AWS Secrets Manager is designed specifically to securely store and manage sensitive information such as database credentials. It integrates seamlessly with AWS services like Lambda and RDS, and it provides automatic credential rotation with minimal operational overhead.
AWS Secrets Manager: By storing the database credentials in Secrets Manager, you ensure that the credentials are securely stored, encrypted, and managed. Secrets Manager provides a built-in mechanism to automatically rotate credentials at regular intervals (e.g., every 30 days), which helps in maintaining security best practices without requiring additional manual intervention.
Lambda Integration: The Lambda function can be easily configured to retrieve the credentials from Secrets Manager using the AWS SDK, ensuring that the credentials are accessed securely at runtime.
Why Not Other Options?:
Option A (Parameter Store with Rotation): While Parameter Store can store parameters securely, Secrets Manager is more tailored for secrets management and automatic rotation, offering more features and less operational overhead.
Option C (Encrypted Lambda environment variable): Storing credentials directly in Lambda environment variables, even when encrypted, requires custom code to manage rotation, which increases operational complexity.
Option D (KMS with automatic rotation): KMS is for managing encryption keys, not for storing and rotating secrets like database credentials. This option would require more custom implementation to manage credentials securely.
AWS References:
AWS Secrets Manager- Detailed documentation on how to store, manage, and rotate secrets using AWS Secrets Manager.
Using Secrets Manager with AWS Lambda- Guidance on integrating Secrets Manager with Lambda for secure credential management.

NEW QUESTION # 194
A company's web application is using multiple Linux Amazon EC2 instances and storing data on Amazon EBS volumes. The company is looking for a solution to increase the resiliency of the application in case of a failure and to provide storage that complies with atomicity, consistency, isolation, and durability (ACID).
What should a solutions architect do to meet these requirements?

A. Launch the application on EC2 instances in each Availability Zone. Attach EBS volumes to each EC2 instance.
B. Create an Application Load Balancer with Auto Scaling groups across multiple Availability Zones Store data using Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA)
C. Create an Application Load Balancer with Auto Scaling groups across multiple Availability Zones.
Store data on Amazon EFS and mount a target on each instance.
D. Create an Application Load Balancer with Auto Scaling groups across multiple Availability Zones Mount an instance store on each EC2 instance

Answer: C

Explanation:
Explanation
How Amazon EFS Works with Amazon EC2
The following illustration shows an example VPC accessing an Amazon EFS file system. Here, EC2 instances in the VPC have file systems mounted.
In this illustration, the VPC has three Availability Zones, and each has one mount target created in it. We recommend that you access the file system from a mount target within the same Availability Zone. One of the Availability Zones has two subnets. However, a mount target is created in only one of the subnets.

Benefits of Auto Scaling
Better fault tolerance. Amazon EC2 Auto Scaling can detect when an instance is unhealthy, terminate it, and launch an instance to replace it. You can also configure Amazon EC2 Auto Scaling to use multiple Availability Zones. If one Availability Zone becomes unavailable, Amazon EC2 Auto Scaling can launch instances in another one to compensate.
Better availability. Amazon EC2 Auto Scaling helps ensure that your application always has the right amount of capacity to handle the current traffic demand.
Better cost management. Amazon EC2 Auto Scaling can dynamically increase and decrease capacity as needed. Because you pay for the EC2 instances you use, you save money by launching instances when they are needed and terminating them when they aren't.
https://docs.aws.amazon.com/efs/latest/ug/how-it-works.html#how-it-works-ec2
https://docs.aws.amazon.com/autoscaling/ec2/userguide/auto-scaling-benefits.html

NEW QUESTION # 195
A company is developing a containerized web application that needs to be highly available and scalable. The application requires access to GPU resources.

A. Deploy the application container to Amazon Elastic Container Registry (Amazon ECR). Use Amazon ECR to run the containerized application with an attached GPU.
B. Package the application as an AWS Lambda function in a container image. Use Lambda to run the containerized application on a runtime with GPU access.
C. Deploy the application container to Amazon Elastic Kubernetes Service (Amazon EKS). Use AWS Fargate to manage compute resources and access to GPU resources.
D. Run the application on Amazon EC2 instances from a GPU instance family by using Amazon Elastic Container Service (Amazon ECS) for orchestration.

Answer: D

Explanation:
Why Option D is Correct:
GPU Access: Only EC2 instances in the GPU family (e.g., P2, P3) can provide GPU resources.
ECS Orchestration: Simplifies container deployment and management.
Why Other Options Are Not Ideal:
Option A: Lambda does not support GPU-based runtimes.
Option B: AWS Fargate does not support GPU-based workloads.
Option C: ECR is a container registry, not an orchestration or execution service.
AWS References:
Amazon ECS with GPU Instances:AWS Documentation - ECS GPU Instances

NEW QUESTION # 196
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