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Amazon SAA-C03 Certification is highly valued in the IT industry, as it demonstrates that an individual has a deep understanding of AWS services and can design and deploy complex systems on AWS. AWS Certified Solutions Architect - Associate certification is particularly relevant for individuals who are interested in working as solutions architects, systems administrators, or developers on AWS.

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Amazon SAA-C03 Certification Exam is a highly sought-after certification for professionals who want to validate their skills in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS). The SAA-C03 Exam is the updated version of the previous SAA-C02 exam and is designed to test a candidate's ability to design and implement solutions that meet customer requirements using AWS services and technologies.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q511-Q516):

NEW QUESTION # 511
A company uses Amazon FSx for NetApp ONTAP in its primary AWS Region for CIFS and NFS file shares.
Applications that run on Amazon EC2 instances access the file shares. The company needs a storage disaster recovery (DR) solution in a secondary Region. The data that is replicated in the secondary Region needs to be accessed by using the same protocols as the primary Region.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: B

Explanation:
The correct answer is C because the company already uses Amazon FSx for NetApp ONTAP and requires a disaster recovery solution in a secondary Region that preserves access through the same protocols , specifically CIFS and NFS . The most appropriate solution is to deploy a second FSx for ONTAP file system in the secondary Region and use NetApp SnapMirror to replicate data between Regions. SnapMirror is built for ONTAP-based replication and is the native mechanism for efficient, storage-level disaster recovery.
This option provides the least operational overhead because it uses the capabilities already integrated into FSx for ONTAP rather than introducing another storage platform or custom replication tooling. It also preserves protocol compatibility, so applications in the recovery Region can continue to access data through CIFS and NFS without architectural changes.
Option A is incorrect because replicating data to Amazon S3 does not preserve native CIFS and NFS file shares. Option B can support recovery, but backups and restores are not the best fit for an active DR strategy where the secondary Region needs accessible replicated storage with the same protocols and lower recovery effort. Option D is incorrect because Amazon EFS does not provide CIFS/SMB support in the same way as FSx for ONTAP and would require a platform change.
AWS guidance for FSx for ONTAP disaster recovery favors using SnapMirror replication to another FSx for ONTAP deployment. This approach is protocol-compatible, efficient, and operationally simpler than building a custom DR workflow.


NEW QUESTION # 512
A company is running a multi-tier web application on premises. The web application is containerized and runs on a number of Linux hosts connected to a PostgreSQL database that contains user records. The operational overhead of maintaining the infrastructure and capacity planning is limiting the company's growth. A solutions architect must improve the application's infrastructure.
Which combination of actions should the solutions architect take to accomplish this? (Choose two.)

Answer: B,D

Explanation:
Amazon Aurora is a fully managed, scalable, and highly available relational database service that is compatible with PostgreSQL. Migrating the database to Amazon Aurora would reduce the operational overhead of maintaining the database infrastructure and allow the company to focus on building and scaling the application. AWS Fargate is a fully managed container orchestration service that enables users to run containers without the need to manage the underlying EC2 instances. By using AWS Fargate with Amazon Elastic Container Service (Amazon ECS), the solutions architect can improve the scalability and efficiency of the web application and reduce the operational overhead of maintaining the underlying infrastructure.


NEW QUESTION # 513
A company wants to move its application to a serverless solution. The serverless solution needs to analyze existing data and new data by using SQL. The company stores the data in an Amazon S3 bucket. The data must be encrypted at rest and replicated to a different AWS Region. Which solution will meet these requirements with the LEAST operational overhead?

Answer: A


NEW QUESTION # 514
A company has a serverless web application that is comprised of AWS Lambda functions. The application experiences spikes in traffic that cause increased latency because of cold starts. The company wants to improve the application's ability to handle traffic spikes and to minimize latency. The solution must optimize costs during periods when traffic is low.

Answer: C

Explanation:
Key Requirements:
Handle traffic spikes efficiently and reduce latency caused by cold starts.
Optimize costs during low traffic periods.
Analysis of Options:
Option A:
Provisioned Concurrency:Reduces cold start latency by pre-warming Lambda environments for the required number of concurrent executions.
AWS Application Auto Scaling:Automatically adjusts provisioned concurrency based on demand, ensuring cost optimization by scaling down during low traffic.
Correct Approach:Provides a balance between performance during traffic spikes and cost optimization during idle periods.
Option B:
Using EC2 instances with Auto Scaling introduces unnecessary complexity for a serverless architecture. It requires additional management and does not address the issue of cold starts for Lambda.
Incorrect Approach:Contradicts the serverless design philosophy and increases operational overhead.
Option C:
Setting a fixed concurrency level ensures performance during spikes but does not optimize costs during low traffic. This approach would maintain provisioned instances unnecessarily.
Incorrect Approach:Lacks cost optimization.
Option D:
Using EventBridge Scheduler for periodic invocations may reduce cold starts but does not dynamically scale based on traffic demand. It also leads to unnecessary invocations during idle times.
Incorrect Approach:Suboptimal for high traffic fluctuations and cost control.
AWS Solution Architect References:
AWS Lambda Provisioned Concurrency
AWS Application Auto Scaling with Lambda


NEW QUESTION # 515
An application allows users at a company's headquarters to access product data. The product data is stored in an Amazon RDS MySQL DB instance. The operations team has isolated an application performance slowdown and wants to separate read traffic from write traffic. A solutions architect needs to optimize the application's performance quickly.
What should the solutions architect recommend?

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_MySQL.Replication.ReadReplicas.html


NEW QUESTION # 516
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