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Trusted SAA-C03 Exam Resource - Test SAA-C03 Voucher

Trusted SAA-C03 Exam Resource - Test SAA-C03 Voucher

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q279-Q284):

NEW QUESTION # 279
A company is preparing to launch a public-facing web application in the AWS Cloud. The architecture consists of Amazon EC2 instances within a VPC behind an Elastic Load Balancer (ELB). A third-party service is used for the DNS. The company's solutions architect must recommend a solution to detect and protect against large-scale DDoS attacks.
Which solution meets these requirements?

  • A. Enable Amazon GuardDuty on the account.
  • B. Enable AWS Shield and assign Amazon Route 53 to it.
  • C. Enable AWS Shield Advanced and assign the ELB to it.
  • D. Enable Amazon Inspector on the EC2 instances.

Answer: C

Explanation:
https://aws.amazon.com/shield/faqs/


NEW QUESTION # 280
At part of budget planning. management wants a report of AWS billed dams listed by user. The data will be used to create department budgets. A solution architect needs to determine the most efficient way to obtain this report Information Which solution meets these requirement?

  • A. Create a report in Cost Explorer and download the report
  • B. Access the bill details from the running dashboard and download Via bill.
  • C. Run a query with Amazon Athena to generate the report.
  • D. Modify a cost budget in AWS Budgets to alert with Amazon Simple Email Service (Amazon SES).

Answer: A

Explanation:
Explanation
This option is the most efficient because it uses Cost Explorer, which is a tool that allows you to visualize, understand, and manage your AWS costs and usage over time1. You can create a report in Cost Explorer that lists AWS billed items by user, using the user name tag as a filter2. You can then download the report as a CSV file and use it for budget planning. Option A is less efficient because it uses Amazon Athena, which is a serverless interactive query service that allows you to analyze data in Amazon S3 using standard SQL3. You would need to set up an Athena table that points to your AWS Cost and Usage Report data in S3, and then run a query to generate the report. This would incur additional costs and complexity. Option C is less efficient because it uses the billing dashboard, which provides a high-level summary of your AWS costs and usage.
You can access the bill details from the billing dashboard and download them via bill, but this would not list the billed items by user. You would need to use tags to group your costs by user name, which would require additional steps. Option D is less efficient because it uses AWS Budgets, which is a tool that allows you to plan your service usage, service costs, and instance reservations. You can modify a cost budget in AWS Budgets to alert with Amazon Simple Email Service (Amazon SES), but this would not generate a report of AWS billed items by user. This would only notify you when your actual or forecasted costs exceed or are expected to exceed your budgeted amount.


NEW QUESTION # 281
A company is migrating a document management application to AWS. The application runs on Linux servers. The company will migrate the application to Amazon EC2 instances in an Auto Scaling group. The company stores 7 TiB of documents in a shared storage file system. An external relational database tracks the documents.
Documents are stored once and can be retrieved multiple times for reference at any time. The company cannot modify the application during the migration. The storage solution must be highly available and must support scaling over time.
Which solution will meet these requirements MOST cost-effectively?

  • A. Create an Amazon S3 bucket that uses the S3 Standard-Infrequent Access (S3 Standard-IA) storage class Mount the S3 bucket on the EC2 instances in the Auto Scaling group.
  • B. Create an Amazon.. System (Amazon fcFS) file system with mount points in multiple Availability Zones. Use the bFS Stondard-intrcqucnt Access (Standard-IA) storage class. Mount the NFS share on the EC2 instances in the Auto Scaling group.
  • C. Deploy an SFTP server endpoint by using AWS Transfer for SFTP and an Amazon S3 bucket. Configure the EC2 instances in the Auto Scaling group to connect to the SFTP server.
  • D. Deploy an EC2 instance with enhanced networking as a shared NFS storage system. Export the NFS share. Mount the NFS share on the EC2 instances in the Auto Scaling group.

Answer: B

Explanation:
Requirement Analysis: The company needs highly available, scalable storage for a document management application without modifying the application during migration.
EFS Overview: Amazon EFS provides scalable file storage that can be mounted concurrently on multiple EC2 instances across different Availability Zones.
EFS Standard-IA: Using the Standard-IA storage class helps reduce costs for infrequently accessed data while maintaining high availability and scalability.
Implementation:
Create an EFS file system.
Configure mount targets in multiple Availability Zones to ensure high availability.
Mount the EFS file system on EC2 instances in the Auto Scaling group.
Conclusion: This solution meets the high availability, scalability, and cost-effectiveness requirements without needing application modifications.
Reference
Amazon EFS: Amazon EFS Documentation
EFS Storage Classes: Amazon EFS Storage Classes


NEW QUESTION # 282
A content management system (CMS) is hosted on a fleet of auto-scaled, On-Demand EC2 instances that use Amazon Aurora as its database. Currently, the system stores the file documents that the users upload in one of the attached EBS Volumes. Your manager noticed that the system performance is quite slow and he has instructed you to improve the architecture of the system.
In this scenario, what will you do to implement a scalable, high-available POSIX-compliant shared file system?

  • A. Create an S3 bucket and use this as the storage for the CMS
  • B. Use EFS
  • C. Upgrading your existing EBS volumes to Provisioned IOPS SSD Volumes
  • D. Use ElastiCache

Answer: B

Explanation:
Amazon Elastic File System (Amazon EFS) provides simple, scalable, elastic file storage for use with AWS Cloud services and on-premises resources. When mounted on Amazon EC2 instances, an Amazon EFS file system provides a standard file system interface and file system access semantics, allowing you to seamlessly integrate Amazon EFS with your existing applications and tools. Multiple Amazon EC2 instances can access an Amazon EFS file system at the same time, allowing Amazon EFS to provide a common data source for workloads and applications running on more than one Amazon EC2 instance.
This particular scenario tests your understanding of EBS, EFS, and S3. In this scenario, there is a fleet of On-Demand EC2 instances that store file documents from the users to one of the attached EBS Volumes. The system performance is quite slow because the architecture doesn't provide the EC2 instances parallel shared access to the file documents.
Although an EBS Volume can be attached to multiple EC2 instances, you can only do so on instances within an availability zone.
What we need is high-available storage that can span multiple availability zones. Take note as well that the type of storage needed here is "file storage" which means that S3 is not the best service to use because it is mainly used for "object storage", and S3 does not provide the notion of "folders" too. This is why using EFS is the correct answer.

Upgrading your existing EBS volumes to Provisioned IOPS SSD Volumes is incorrect because an EBS volume is a storage area network (SAN) storage and not a POSIX-compliant shared file system. You have to use EFS instead.
Using ElastiCache is incorrect because this is an in-memory data store that improves the performance of your applications, which is not what you need since it is not a file storage.
Reference:
https://aws.amazon.com/efs/
Check out this Amazon EFS Cheat Sheet:
https://tutorialsdojo.com/amazon-efs/
Check out this Amazon S3 vs EBS vs EFS Cheat Sheet:
https://tutorialsdojo.com/amazon-s3-vs-ebs-vs-efs/


NEW QUESTION # 283
A solutions architect is designing a highly available Amazon ElastiCache for Redis based solution. The solutions architect needs to ensure that failures do not result in performance degradation or loss of data locally and within an AWS Region. The solution needs to provide high availability at the node level and at the Region level.
Which solution will meet these requirements?

  • A. Use Multi-AZ Redis replication groups with shards that contain multiple nodes.
  • B. Use a Multi-AZ Redis cluster with more than one read replica in the replication group.
  • C. Use Redis shards that contain multiple nodes with Redis append only files (AOF) tured on.
  • D. Use Redis shards that contain multiple nodes with Auto Scaling turned on.

Answer: A

Explanation:
Explanation
This answer is correct because it provides high availability at the node level and at the Region level for the ElastiCache for Redis solution. A Multi-AZ Redis replication group consists of a primary cluster and up to five read replica clusters, each in a different Availability Zone. If the primary cluster fails, one of the read replicas is automatically promoted to be the new primary cluster. A Redis replication group with shards enables partitioning of the data across multiple nodes, which increases the scalability and performance of the solution. Each shard can have one or more replicas to provide redundancy and read scaling.
References:
* https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/AutoFailover.html
* https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/Shards.html


NEW QUESTION # 284
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