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Amazon SAA-C03 Certification Exam is a highly sought-after certification for IT professionals seeking to demonstrate their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) cloud platform. Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam certification exam is designed to validate the candidate's ability to architect and deploy secure and robust applications on the AWS platform, using best practices and industry-standard techniques.

Amazon SAA-C03 Exam is the latest version of the Amazon AWS Certified Solutions Architect - Associate certification exam. It is designed to test the candidate's knowledge and skills in designing and deploying scalable, highly available, and fault-tolerant systems on the AWS platform. The SAA-C03 exam covers a wide range of topics, including AWS architecture, networking, security, storage, database, compute, and AWS services.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q352-Q357):

NEW QUESTION # 352
A company has developed a non-production application that is composed of multiple microservices for each of the company's business units. A single development team maintains all the microservices.
The current architecture uses a static web frontend and a Java-based backend that contains the application logic. The architecture also uses a MySQL database that the company hosts on an Amazon EC2 instance.
The company needs to ensure that the application is secure and available globally.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon CloudFront and Amazon S3 to host the static web frontend. Refactor the microservices to use AWS Lambda functions that the microservices access by using Amazon API Gateway. Migrate the MySQL database to Amazon RDS for MySQL.
B. Use Amazon CloudFront and Amazon S3 to host the static web frontend. Refactor the microservices to use AWS Lambda functions that are in a target group behind a Network Load Balancer. Migrate the MySQL database to Amazon RDS for MySQL.
C. Use Amazon CloudFront and AWS Amplify to host the static web frontend. Refactor the microservices to use AWS Lambda functions that the microservices access by using Amazon API Gateway. Migrate the MySQL database to an Amazon EC2 Reserved Instance.
D. Use Amazon S3 to host the static web frontend. Refactor the microservices to use AWS Lambda functions that are in a target group behind an Application Load Balancer. Migrate the MySQL database to an Amazon EC2 Reserved Instance.

Answer: A

Explanation:
This solution offers the least operational overhead while meeting the security and global availability requirements:
* Amazon CloudFront and S3: Hosting the static frontend on S3 and serving it via CloudFront provides low-latency global distribution, high availability, and security. S3 is a cost-effective and serverless option for hosting static assets, and CloudFront ensures that the application is cached closer to the users, reducing latency globally.
* AWS Lambda and API Gateway: Refactoring the microservices to use Lambda functions with API Gateway allows for a fully serverless, scalable, and highly available backend. This reduces the need for managing EC2 instances, as Lambda automatically scales to meet demand and only charges for the actual usage.
* RDS for MySQL: Migrating the MySQL database from an EC2 instance to Amazon RDS significantly reduces operational overhead. RDS manages backups, patching, and scaling, and it offers high availability options (e.g., Multi-AZ).
* Option A and D involve using EC2 Reserved Instances for the database, which requires more operational maintenance than using RDS.
* Option C suggests using a Network Load Balancer with Lambda, which adds unnecessary complexity for this use case.
AWS References:
* Amazon S3 and CloudFront Integration
* AWS Lambda with API Gateway
* Amazon RDS for MySQL

NEW QUESTION # 353
A company receives 10 TB of instrumentation data each day from several machines located at a single factory.
The data consists of JSON files stored on a storage area network (SAN) in an on-premises data center located within the factory. The company wants to send this data to Amazon S3 where it can be accessed by several additional systems that provide critical near-real-lime analytics. A secure transfer is important because the data is considered sensitive.
Which solution offers the MOST reliable data transfer?

A. AWS Database Migration Service (AWS DMS) over public internet
B. AWS DataSync over public internet
C. AWS Database Migration Service (AWS DMS) over AWS Direct Connect
D. AWS DataSync over AWS Direct Connect

Answer: D

Explanation:
These are some of the main use cases for AWS DataSync: * Data migration - Move active datasets rapidly over the network into Amazon S3, Amazon EFS, or FSx for Windows File Server. DataSync includes automatic encryption and data integrity validation to help make sure that your data arrives securely, intact, and ready to use.
"DataSync includes encryption and integrity validation to help make sure your data arrives securely, intact, and ready to use." https://aws.amazon.com/datasync/faqs/

NEW QUESTION # 354
A medical company wants to perform transformations on a large amount of clinical trial data that comes from several customers. The company must extract the data from a relational database that contains the customer dat a. Then the company will transform the data by using a series of complex rules. The company will load the data to Amazon S3 when the transformations are complete.
All data must be encrypted where it is processed before the company stores the data in Amazon S3. All data must be encrypted by using customer-specific keys.
Which solution will meet these requirements with the LEAST amount of operational effort?

A. Create one Amazon EMR cluster for each customer Attach a security configuration to each cluster that uses client-side encryption with a custom client-side root key (CSE-Custom) to encrypt the data.
B. Create one AWS Glue job for each customer Attach a security configuration to each job that uses server-side encryption with Amazon S3 managed keys (SSE-S3) to encrypt the data.
C. Create one Amazon EMR cluster for each customer Attach a security configuration to each cluster that uses server-side encryption with AWS KMS keys (SSE-KMS) to encrypt the data.
D. Create one AWS Glue job for each customer Attach a security configuration to each job that uses client-side encryption with AWS KMS managed keys (CSE-KMS) to encrypt the data.

Answer: D

Explanation:
AWS Glue jobs are designed for extract, transform, and load (ETL) operations, which are perfect for transforming clinical trial data. AWS Glue integrates with AWS Key Management Service (KMS), allowing for customer-specific encryption keys, fulfilling the encryption requirement with minimal operational effort. Client-side encryption with AWS KMS ensures that the data is encrypted before it is sent to S3, aligning with the security needs specified in the scenario.
Key aspects:
AWS Glue: This managed ETL service simplifies data transformation, reduces operational overhead, and integrates seamlessly with KMS.
CSE-KMS: Client-side encryption with KMS ensures that the data is encrypted with customer-specific keys before it is processed or stored in S3, offering robust security.
Minimal Operational Overhead: Compared to managing an EMR cluster, AWS Glue automates much of the process, making it a lower-effort solution.
AWS Documentation: According to the AWS Well-Architected Framework, encryption with AWS KMS offers strong security controls that meet the needs of industries requiring high levels of confidentiality.

NEW QUESTION # 355
A group requires permissions to list an Amazon S3 bucket and delete objects from that bucket An administrator has created the following 1AM policy to provide access to the bucket and applied that policy to the group. The group is not able to delete objects in the bucket. The company follows least-privilege access rules.

Answer: D

Explanation:
{
"Version": "2012-10-17",
"Statement": [
{
"Action": [
"s3:ListBucket",
"s3:DeleteObject"
],
"Resource": [
"arn:aws:s3:::<bucket-name>"
],
"Effect": "Allow",
},
{
"Action": "s3:*DeleteObject",
"Resource": [
"arn:aws:s3:::<bucket-name>/*" # <- The policy clause kludge "added" to match the solution (Q248.1) example
],
"Effect": "Allow"
}
]
}

NEW QUESTION # 356
A company wants to run a gaming application on Amazon EC2 instances that are part of an Auto Scaling group in the AWS Cloud. The application will transmit data by using UDP packets. The company wants to ensure that the application can scale out and in as traffic increases and decreases.
What should a solutions architect do to meet these requirements?

A. Deploy an Amazon Route 53 record set with a weighted policy to route traffic appropriately
B. Deploy a NAT instance that is configured with port forwarding to the EC2 instances in the Auto Scaling group.
C. Attach a Network Load Balancer to the Auto Scaling group
D. Attach an Application Load Balancer to the Auto Scaling group.

Answer: D

NEW QUESTION # 357
......

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VALID EXAM AMAZON SAA-C03 BOOK - SAA-C03 RELIABLE BRAINDUMPS EBOOK

Valid Exam Amazon SAA-C03 Book - SAA-C03 Reliable Braindumps Ebook