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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) certification exam is designed to validate a candidate's technical skills and knowledge in designing, deploying, and managing scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. AWS Certified Solutions Architect - Associate certification is suitable for IT professionals who are seeking a career in cloud computing or those who are already working with AWS and want to enhance their skills and knowledge. SAA-C03 Exam Tests a candidate's ability to design and deploy AWS solutions that meet customer requirements and provide guidance on architectural best practices.
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To earn the Amazon SAA-C03 Certification, candidates need to pass a multiple-choice exam that covers a wide range of topics related to AWS services, architecture patterns, and best practices. SAA-C03 exam also tests the candidate's ability to design and deploy secure and reliable applications on AWS while considering cost optimization and performance efficiency. AWS Certified Solutions Architect - Associate certification is intended for solutions architects, developers, and IT professionals who are responsible for designing and deploying applications on AWS.
NEW QUESTION # 567
A company recently started using Amazon Aurora as the data store for its global ecommerce application When large reports are run developers report that the ecommerce application is performing poorly After reviewing metrics in Amazon CloudWatch, a solutions architect finds that the ReadlOPS and CPUUtilization metrics are spiking when monthly reports run.
What is the MOST cost-effective solution?
Answer: C
Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Replication.html
#Aurora.Replication.Replicas Aurora Replicas have two main purposes. You can issue queries to them to scale the read operations for your application. You typically do so by connecting to the reader endpoint of the cluster. That way, Aurora can spread the load for read-only connections across as many Aurora Replicas as you have in the cluster. Aurora Replicas also help to increase availability. If the writer instance in a cluster becomes unavailable, Aurora automatically promotes one of the reader instances to take its place as the new writer.
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Overview.html
NEW QUESTION # 568
A company collects 10 GB of telemetry data every day from multiple devices. The company stores the data in an Amazon S3 bucket that is in a source data account. The company has hired several consulting agencies to analyze the company's data. Each agency has a unique AWS account. Each agency requires read access to the company's data. The company needs a secure solution to share the data from the source data account to the consulting agencies. Which solution will meet these requirements with the LEAST operational effort?
Answer: A
Explanation:
The most secure and least operationally intensive method is to configure cross-account access using resource-based policies on the S3 bucket. This allows trusted external AWS accounts (consulting agencies) to securely access the S3 data without the need to manage user credentials or build additional infrastructure.
Options A and B pose security risks. Option D increases operational complexity and violates least privilege by managing external users inside your AWS account.
NEW QUESTION # 569
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?
Answer: C
Explanation:
Explanation
" online across multiple AWS Regions at all times". Currently only Read Replica supports cross-regions , Multi-AZ does not support cross-region (it works only in same region)
https://aws.amazon.com/about-aws/whats-new/2018/01/amazon-rds-read-replicas-now-support-multi-az-deploym
NEW QUESTION # 570
A company is developing a social media application. The company anticipates rapid and unpredictable growth in users and data volume.
The application needs to handle a continuous high volume of user requests. User requests include long-running processes that store large amounts of user-generated content and user profiles in a relational format. The processes must run in a specific order. The company requires an architecture that can scale resources to meet demand spikes without downtime or performance degradation. The company must ensure that the components of the application can evolve independently without affecting other parts of the system. Which combination of AWS services will meet these requirements?
Answer: C
Explanation:
ECS with Fargate: Allows containerized workloads to scale rapidly without managing underlying servers, handling unpredictable growth effectively.
* RDS for Relational Data: Manages large relational datasets efficiently while supporting high availability.
* SQS for Decoupling: Ensures message processing occurs in a specific order, decoupling application components and allowing independent evolution.: AWS ECS with Fargate Documentation, AWS SQS Documentation
NEW QUESTION # 571
A company runs an application that uses Docker containers in an on-premises data center. The application runs on a container host that stores persistent data files in a local volume. Container instances use the stored persistent data.
The company wants to migrate the application to fully managed AWS services.
Which solution will meet these requirements?
Answer: A
Explanation:
The company wants to move from an on-premises Docker environment to fully managed AWS services with persistent storage. The best fit is:
Amazon ECS with AWS Fargate launch type: This is a serverless container orchestration solution where AWS manages the underlying infrastructure, removing the need to manage EC2 or Kubernetes nodes.
Amazon EFS (Elastic File System): This is a fully managed, scalable, and shared file system for use with ECS tasks. It supports persistent storage for containers, replacing the local volumes used on-premises.
This combination (ECS + Fargate + EFS) is fully managed and requires no manual server maintenance.
Option A uses EKS with self-managed nodes, which is not fully managed.
Option C (DynamoDB) is for structured key-value storage, not for persistent file storage.
Option D uses ECS with EC2 launch type, which is not serverless and requires managing instances.
Reference:
Using Amazon ECS with AWS Fargate
Mounting EFS volumes in ECS tasks
NEW QUESTION # 572
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