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The SAA-C03 Exam covers a wide range of topics, including AWS core services, security, networking, storage, databases, and AWS architecture best practices. Candidates must have a strong understanding of AWS services, such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Relational Database Service (RDS), and Amazon Virtual Private Cloud (VPC), as well as the ability to design and deploy highly available and fault-tolerant systems on the AWS platform.
Amazon SAA-C03 Exam Material | SAA-C03 Valid Exam DurationBesides this PDF format, Amazon SAA-C03 practice exams in desktop and web-based versions are available to aid you in recognizing both your weaker and stronger concepts. These real Amazon SAA-C03 Exam Simulator exams also points out your mistakes regarding the Amazon SAA-C03 exam preparation. Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q422-Q427):NEW QUESTION # 422
A company has a multi-tier application deployed on several Amazon EC2 instances in an Auto Scaling group. An Amazon RDS for Oracle instance is the application's data layer that uses Oracle-specific PL/SQL functions. Traffic to the application has been steadily increasing. This is causing the EC2 instances to become overloaded and the RDS instance to run out of storage. The Auto Scaling group does not have any scaling metrics and defines the minimum healthy instance count only. The company predicts that traffic will continue to increase at a steady but unpredictable rate before levelling off.
What should a solutions architect do to ensure the system can automatically scale for the increased traffic? (Select TWO.)
A. Migrate the database to Amazon Aurora to use Auto Scaling storage.
B. Configure an alarm on the RDS for Oracle Instance for low free storage space
C. Configure storage Auto Scaling on the RDS for Oracle Instance.
D. Configure the Auto Scaling group to use the average CPU as the scaling metric
E. Configure the Auto Scaling group to use the average free memory as the seeing metric
Answer: B,C
NEW QUESTION # 423
A company has a Microsoft NET application that runs on an on-premises Windows Server Trie application stores data by using an Oracle Database Standard Edition server The company is planning a migration to AWS and wants to minimize development changes while moving the application The AWS application environment should be highly available Which combination ol actions should the company take to meet these requirements? (Select TWO )
A. Replatform the application to run on Amazon EC2 with the Amazon Linux Amazon Machine Image (AMI)
B. Rehost the application in AWS Elastic Beanstalk with the NET platform in a Mulft-AZ deploymeni
C. Refactor the application as serverless with AWS Lambda functions running NET Cote
D. Use AWS Database Migration Service (AWS DMS) to migrate trom the Oracle database to Amazon DynamoDB in a Multi-AZ deployment
E. Use AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Oracle on Amazon RDS in a Multi-AZ deployment
Answer: A,C
NEW QUESTION # 424
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?
A. Use AWS Fargate to supply compute capacity. Create a Fargate profile. Use the Fargate profile to deploy the application.
B. Use managed node groups to supply compute capacity. Deploy the application to the new EKS cluster.
C. Use a self-managed node to supply compute capacity. Deploy the application to the new EKS cluster.
D. Use managed node groups with Karpenter to supply compute capacity. Deploy the application to the new EKS cluster.
Answer: A
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.
NEW QUESTION # 425
A company used an Amazon RDS for MySQL DB instance during application testing. Before terminating the DB instance at the end of the test cycle, a solutions architect created two backups. The solutions architect created the first backup by using the mysqldump utility to create a database dump. The solutions architect created the second backup by enabling the final DB snapshot option on RDS termination.
The company is now planning for a new test cycle and wants to create a new DB instance from the most recent backup. The company has chosen a MySQL-compatible edition of Amazon Aurora to host the DB instance.
Which solutions will create the new DB instance? (Select TWO.)
A. Upload the database dump to Amazon S3. Then import the database dump into Aurora.
B. Upload the database dump to Amazon S3. Then use AWS Database Migration Service (AWS DMS) to import the database dump into Aurora.
C. Import the RDS snapshot directly into Aurora.
D. Use AWS Database Migration Service (AWS DMS) to import the RDS snapshot into Aurora.
E. Upload the RDS snapshot to Amazon S3. Then import the RDS snapshot into Aurora.
Answer: A,C
Explanation:
These answers are correct because they meet the requirements of creating a new DB instance from the most recent backup and using a MySQL-compatible edition of Amazon Aurora to host the DB instance. You can import the RDS snapshot directly into Aurora if the MySQL DB instance and the Aurora DB cluster are running the same version of MySQL. For example, you can restore a MySQL version 5.6 snapshot directly to Aurora MySQL version 5.6, but you can't restore a MySQL version 5.6 snapshot directly to Aurora MySQL version 5.7. This method is simple and requires the fewest number of steps. You can upload the database dump to Amazon S3 and then import the database dump into Aurora if the MySQL DB instance and the Aurora DB cluster are running different versions of MySQL. For example, you can import a MySQLversion
5.6 database dump into Aurora MySQL version 5.7, but you can't restore a MySQL version 5.6 snapshot directly to Aurora MySQL version 5.7. This method is more flexible and allows you to migrate across different versions of MySQL.
References: https://docs.aws.amazon.com/Amaz ... Migrating.RDSMySQL.
Import.html https://docs.aws.amazon.com/Amaz ... Migrating.RDSMySQL.
Dump.html
NEW QUESTION # 426
A company is building an ecommerce application and needs to store sensitive customer information. The company needs to give customers the ability to complete purchase transactions on the website. The company also needs to ensure that sensitive customer data is protected, even from database administrators.
Which solution meets these requirements?
A. Store sensitive data in Amazon S3. Use AWS Key Management Service (AWS KMS) server-side encryption to encrypt the data. Use S3 bucket policies to restrict access.
B. Store sensitive data in an Amazon Elastic Block Store (Amazon EBS) volume. Use EBS encryption to encrypt the data. Use an IAM instance role to restrict access.
C. Store sensitive data in Amazon FSx for Windows Server. Mount the file share on application servers.Use Windows file permissions to restrict access.
D. Store sensitive data in Amazon RDS for MySQL. Use AWS Key Management Service (AWS KMS) client-side encryption to encrypt the data.
Answer: D
Explanation:
it allows the company to store sensitive customer information in a managed AWS service and give customers the ability to complete purchase transactions on the website. By using AWS Key Management Service (AWS KMS) client-side encryption, the company can encrypt the data before sending it to Amazon RDS for MySQL. This ensures that sensitive customer data is protected, even from database administrators, as only the application has access to the encryption keys. References:
* Using Encryption with Amazon RDS for MySQL
* Encrypting Amazon RDS Resources
NEW QUESTION # 427
......
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