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The SAA-C03 exam consists of 65 multiple-choice and multiple-response questions that you need to complete within 130 minutes. SAA-C03 exam covers a wide range of topics, including AWS architecture, security, networking, storage, compute, and databases. You will be tested on your ability to design and deploy AWS solutions that meet specific requirements, optimize AWS services for cost and performance, and troubleshoot common issues.
Amazon SAA-C03 certification exam is designed for professionals who are looking to advance their careers in cloud computing and AWS. It is ideal for solutions architects, developers, and IT professionals who want to demonstrate their expertise and knowledge in designing and deploying secure and highly available applications on the AWS platform. SAA-C03 Exam covers a broad range of topics, including AWS services, security, networking, database, and storage, among others.
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Passing the Amazon SAA-C03 Certification Exam requires a deep understanding of AWS services, architectures, and best practices. SAA-C03 exam tests the candidate’s ability to design, deploy, and manage scalable, highly available, and fault-tolerant systems on AWS. In addition, the exam also tests the candidate’s knowledge of security, migration, and cost optimization on AWS.
NEW QUESTION # 447
A company is building a three-tier application on AWS. The presentation tier will serve a static website. The logic tier is a containerized application. This application will store data in a relational database. The company wants to simplify deployment and to reduce operational costs.
Which solution will meet these requirements?
Answer: C
Explanation:
Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. You can use Amazon S3 to host static content for your website, such as HTML files, images, videos, etc. Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that allows you to run and scale containerized applications on AWS. AWS Fargate is a serverless compute engine for containers that works with both Amazon ECS and Amazon EKS. Fargate makes it easy for you to focus on building your applications by removing the need to provision and manage servers. You can use Amazon ECS with AWS Fargate for compute power for your containerized application logic tier. Amazon RDS is a managed relational database service that makes it easy to set up, operate, and scale a relational database in the cloud. You can use a managed Amazon RDS cluster for the database tier of your application.
This solution will simplify deployment and reduce operational costs for your three-tier application.
References: https://docs.aws.amazon.com/AmazonS3/latest/userguide/WebsiteHosting.html
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Welcome.html
NEW QUESTION # 448
A company uses Amazon S3 to store high-resolution pictures in an S3 bucket. To minimize application changes, the company stores the pictures as the latest version of an S3 object The company needs to retain only the two most recent versions ot the pictures.
The company wants to reduce costs. The company has identified the S3 bucket as a large expense.
Which solution will reduce the S3 costs with the LEAST operational overhead?
Answer: B
Explanation:
S3 Lifecycle is a feature that allows you to automate the management of your S3 objects based on predefined rules. You can use S3 Lifecycle to delete expired object versions and retain the two most recent versions by creating a lifecycle configuration rule that applies to all objects in the bucket and specifies the expiration action for noncurrent versions. This way, you can reduce the storage costs of your S3 bucket without requiring any application changes or manual intervention. S3 Lifecycle runs once a day and marks the eligible object versions for deletion. You are no longer charged for the objects that are marked for deletion. S3 Lifecycle is the most cost-effective and simple solution among the options.
B:Use an AWS Lambda function to check for older versions and delete all but the two most recent versions.
This option is not optimal because it requires you to write, test, and maintain a custom Lambda function that scans the S3 bucket for older versions and deletes them. This can incur additional costs for Lambda invocations and increase the operational complexity and overhead. Moreover, you need to ensure that your Lambda function has the appropriate permissions and error handling mechanisms to perform the deletion operation.
C:lse S3 Batch Operations to delete noncurrent object versions and retain only the two most recent versions.
This option is not ideal because S3 Batch Operations is designed for performing large-scale operations on S3 objects, such as copying, tagging, restoring, or invoking a Lambda function. To use S3 Batch Operations to delete noncurrent object versions, you need to provide a manifest file that lists the object versions that you want to delete. This can be challenging and time-consuming to generate and update. Moreover, S3 Batch Operations charges you for each operation that you perform, which can increase your costs.
D:Deactivate versioning on the S3 bucket and retain the two most recent versions. This option is not feasible because deactivating versioning on an S3 bucket does not delete the existing object versions. Instead, it prevents new versions from being created. Therefore, you still need to delete the older versions manually or use another method to do so. Additionally, deactivating versioning can compromise the data protection and recovery capabilities of your S3 bucket.
References:
* 1 Considering four different replication options for data in Amazon S3 | AWS Storage Blog
* 2 Using AWS Lambda with Amazon S3 batch operations - AWS Lambda
* 3 Empty an Amazon S3 bucket with a lifecycle configuration rule
* 4 Amazon S3 - Lifecycle Management - GeeksforGeeks
NEW QUESTION # 449
A company stores critical data in Amazon DynamoDB tables in the company's AWS account. An IT administrator accidentally deleted a DynamoDB table. The deletion caused a significant loss of data and disrupted the company's operations. The company wants to prevent this type of disruption in the future.
Which solution will meet this requirement with the LEAST operational overhead?
Answer: C
Explanation:
Deletion protection is a feature of DynamoDB that prevents accidental deletion of tables. When deletion protection is enabled, you cannot delete a table unless you explicitly disable it first. This adds an extra layer of security and reduces the risk of data loss and operational disruption. Deletion protection is easy to enable and disable using the AWS Management Console, the AWS CLI, or the DynamoDB API. This solution has the least operational overhead, as you do not need to create, manage, or invoke any additional resources or services. References:
Using deletion protection to protect your table
Preventing Accidental Table Deletion in DynamoDB
Amazon DynamoDB now supports table deletion protection
NEW QUESTION # 450
A company has a three-tier web application that is deployed on AWS. The web servers are deployed in a public subnet in a VPC. The application servers and database servers are deployed in private subnets in the same VPC. The company has deployed a third-party virtual firewall appliance from AWS Marketplace in an inspection VPC. The appliance is configured with an IP interface that can accept IP packets.
A solutions architect needs to Integrate the web application with the appliance to inspect all traffic to the application before the traffic teaches the web server. Which solution will moot these requirements with the LEAST operational overhead?
Answer: C
Explanation:
https://aws.amazon.com/blogs/networking-and-content-delivery/scaling-network-traffic-inspection-using-aws-gateway-load-balancer/
NEW QUESTION # 451
A website uses EC2 instances with Auto Scaling and EFS. How can the company optimize costs?
Answer: D
Explanation:
* Option C ensures dynamic scaling based on demand using a target tracking scaling policy, optimizing costs.
* Option A results in over-provisioning, leading to higher costs.
* Option B increases costs by using larger instances.
* Option D is not feasible as instance store volumes are ephemeral and unsuitable for shared storage like EFS.
NEW QUESTION # 452
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