HIGH PASS-RATE SAA-C03 ONLINE BOOTCAMPS & LEADER IN CERTIFICATION EXAMS MATERIALS & EFFECTIVE SAA-C03 TEST CERTIFICATION COST

High Pass-Rate SAA-C03 Online Bootcamps & Leader in Certification Exams Materials & Effective SAA-C03 Test Certification Cost

High Pass-Rate SAA-C03 Online Bootcamps & Leader in Certification Exams Materials & Effective SAA-C03 Test Certification Cost

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The Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam certification exam is ideal for professionals who are looking to advance their careers in the cloud computing industry. It is also suitable for those who want to validate their AWS skills and knowledge to potential employers. Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam certification provides a competitive edge in the job market, and it is recognized globally as a standard for AWS expertise. With the growing demand for cloud computing professionals, the Amazon SAA-C03 Certification Exam is an excellent opportunity for individuals to enhance their skills and further their career.

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The SAA-C03 desktop-based practice exam is compatible with Windows-based computers and only requires an internet connection for the first-time license validation. The web-based SAA-C03 practice test is accessible on any browser without needing to install any separate software. Finally, the SAA-C03 Dumps PDF is easily portable and can be used on smart devices or printed out. We constantly update the SAA-C03 pdf file to ensure customers receive the latest version of Amazon SAA-C03 questions, based on the actual Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam (SAA-C03) exam content.

Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q676-Q681):

NEW QUESTION # 676
A company is building an application on AWS that connects to an Amazon RDS database. The company wants to manage the application configuration and to securely store and retrieve credentials for the database and other services.
Which solution will meet these requirements with the LEAST administrative overhead?

  • A. Use AWS AppConfig to store and manage the application configuration. Use AWS Secrets Manager to store and retrieve the credentials.
  • B. Use an encrypted application configuration file Store the file in Amazon S3 for the application configuration. Create another S3 file to store and retrieve the credentials.
  • C. Use AWS AppConfig to store and manage the application configuration. Use Amazon RDS to store and retrieve the credentials.
  • D. Use AWS Lambda to store and manage the application configuration. Use AWS Systems Manager Parameter Store to store and retrieve the credentials.

Answer: A

Explanation:
This solution meets the company's requirements with minimal administrative overhead and ensures security and ease of management.
AWS AppConfig: AWS AppConfig is a service designed to manage application configuration in a secure and validated way. It allows you to deploy configurations safely and quickly without affecting the application's performance or availability.
AWS Secrets Manager: AWS Secrets Manager is specifically designed to manage, retrieve, and rotate credentials for databases and other services. It integrates seamlessly with AWS services like Amazon RDS, making it an ideal solution for securely storing and retrieving database credentials. Secrets Manager also provides automatic rotation of credentials, reducing the operational burden.
Why Not Other Options?:
Option B (AWS Lambda + Parameter Store): While AWS Lambda can be used for managing configurations and AWS Systems Manager Parameter Store can store credentials, this approach involves more manual setup and does not offer the same level of integrated management and security as AppConfig and Secrets Manager.
Option C (Encrypted S3 Configuration File): Storing configuration and credentials in S3 files involves more manual management and security considerations, increasing the administrative overhead.
Option D (AppConfig + RDS for credentials): RDS is not designed for storing application credentials; it's better suited for managing database instances and their configurations.
AWS Reference:
AWS AppConfig - Describes how to use AWS AppConfig for managing application configurations.
AWS Secrets Manager - Provides details on securely storing and retrieving credentials using AWS Secrets Manager.


NEW QUESTION # 677
A company hostss a three application on Amazon EC2 instances in a single Availability Zone. The web application uses a self-managed MySQL database that is hosted on an EC2 instances to store data in an Amazon Elastic Block Store (Amazon EBS) volumn. The MySQL database currently uses a 1 TB Provisioned IOPS SSD (io2) EBS volume. The company expects traffic of 1,000 IOPS for both reads and writes at peak traffic.
The company wants to minimize any distruptions, stabilize perperformace, and reduce costs while retaining the capacity for double the IOPS. The company wants to more the database tier to a fully managed solution that is highly available and fault tolerant.
Which solution will meet these requirements MOST cost-effectively?

  • A. Use two large EC2 instances to host the database in active-passive mode.
  • B. Use a Multi-AZ deployment of an Amazon RDS for MySQL DB instance with an io2 Block Express EBS volume.
  • C. Use a Multi-AZ deployment of an Amazon RDS for MySQL DB instance with a General Purpose SSD (gp2) EBS volume.
  • D. Use Amazon S3 Intelligent-Tiering access tiers.

Answer: B


NEW QUESTION # 678
A company has several EC2 Reserved Instances in their account that need to be decommissioned and shut down since they are no longer used by the development team. However, the data is still required by the audit team for compliance purposes.
Which of the following steps can be taken in this scenario? (Select TWO.)

  • A. You can opt to sell these EC2 instances on the AWS Reserved Instance Marketplace
  • B. Take snapshots of the EBS volumes and terminate the EC2 instances.
  • C. Stop all the running EC2 instances.
  • D. Convert the EC2 instance to On-Demand instances
  • E. Convert the EC2 instances to Spot instances with a persistent Spot request type.

Answer: A,B

Explanation:
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2's simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon's proven computing environment.
The first requirement as per the scenario is to decommission and shut down several EC2 Reserved Instances. However, it is also mentioned that the audit team still requires the data for compliance purposes. To fulfill the given requirements, you can first create a snapshot of the instance to save its data and then sell the instance to the Reserved Instance Marketplace.
The Reserved Instance Marketplace is a platform that supports the sale of third-party and AWS customers' unused Standard Reserved Instances, which vary in terms of length and pricing options. For example, you may want to sell Reserved Instances after moving instances to a new AWS region, changing to a new instance type, ending projects before the term expiration, when your business needs change, or if you have unneeded capacity.
Hence, the correct answers are:
- You can opt to sell these EC2 instances on the AWS Reserved Instance Marketplace.
- Take snapshots of the EBS volumes and terminate the EC2 instances.
The option that says: Convert the EC2 instance to On-Demand instances is incorrect because it's stated in the scenario that the development team no longer needs several EC2 Reserved Instances. By converting it to On-Demand instances, the company will still have instances running in their infrastructure and this will result in additional costs.
The option that says: Convert the EC2 instances to Spot instances with a persistent Spot request type is incorrect because the requirement in the scenario is to terminate or shut down several EC2 Reserved Instances. Converting the existing instances to Spot instances will not satisfy the given requirement. The option that says: Stop all the running EC2 instances is incorrect because doing so will still incur storage cost. Take note that the requirement in the scenario is to decommission and shut down several EC2 Reserved Instances. Therefore, this approach won't fulfill the given requirement. References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ri-market-general.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-creating-snapshot.html
Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/
AWS Container Services Overview:
https://www.youtube.com/watch?v=5QBgDX7O7pw


NEW QUESTION # 679
A solutions architect is implementing a document review application using an Amazon S3 bucket for storage.
The solution must prevent accidental deletion of the documents and ensure that all versions of the documents are available. Users must be able to download, modify, and upload documents.
Which combination of actions should be taken to meet these requirements? (Choose two.)

  • A. Enable versioning on the bucket.
  • B. Enable a read-only bucket ACL.
  • C. Attach an IAM policy to the bucket.
  • D. Encrypt the bucket using AWS KMS.
  • E. Enable MFA Delete on the bucket.

Answer: A,E

Explanation:
Explanation
Versioning is a feature of Amazon S3 that allows users to keep multiple versions of the same object in a bucket. It can help prevent accidental deletion of the documents and ensure that all versions of the documents are available1. MFA Delete is a feature of Amazon S3 that adds an extra layer of security by requiring two forms of authentication to delete a version or change the versioning state of a bucket. It can help prevent unauthorized or accidental deletion of the documents2. By enabling both versioning and MFA Delete on the bucket, the solution can meet the requirements.
A: Enable a read-only bucket ACL. This solution will not meet the requirement of allowing users to download, modify, and upload documents, as a read-only bucket ACL will prevent write access to the bucket3.
C: Attach an IAM policy to the bucket. This solution will not meet the requirement of preventing accidental deletion of the documents and ensuring that all versions of the documents are available, as an IAM policy is used to grant or deny permissions to users or roles, not to enable versioning or MFA Delete4.
E: Encrypt the bucket using AWS KMS. This solution will not meet the requirement of preventing accidental deletion of the documents and ensuring that all versions of the documents are available, as encrypting the bucket using AWS KMS is a method of protecting data at rest, not enabling versioning or MFA Delete.
Reference URL: https://docs.aws.amazon.com/AmazonS3/latest/userguide/Versioning.html


NEW QUESTION # 680
A company wants to use high-performance computing and artificial intelligence to improve its fraud prevention and detection technology. The company requires distributed processing to complete a single workload as quickly as possible.
Which solution will meet these requirements?

  • A. Use Amazon Elastic Kubernetes Service (Amazon EKS) and multiple containers.
  • B. Use AWS Lambda functions.
  • C. Use an Application Load Balancer and Amazon EC2 instances.
  • D. Use AWS ParallelCluster and the Message Passing Interface (MPI) libraries.

Answer: D

Explanation:
AWS ParallelCluster is a service that allows you to create and manage high-performance computing (HPC) clusters on AWS. It supports multiple schedulers, including AWS Batch, which can run distributed workloads across multiple EC2 instances1.
MPI is a standard for message passing between processes in parallel computing. It provides functions for sending and receiving data, synchronizing processes, and managing communication groups2.
By using AWS ParallelCluster and MPI libraries, you can take advantage of the following benefits:
You can easily create and configure HPC clusters that meet your specific requirements, such as instance type, number of nodes, network configuration, and storage options1.
You can leverage the scalability and elasticity of AWS to run large-scale parallel workloads without worrying about provisioning or managing servers1.
You can use MPI libraries to optimize the performance and efficiency of your parallel applications by enabling inter-process communication and data exchange2.
You can choose from a variety of MPI implementations that are compatible with AWS ParallelCluster, such as Open MPI, Intel MPI, and MPICH3.


NEW QUESTION # 681
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