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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) Certification Exam is a globally recognized certification exam designed for professionals seeking to validate their skills and expertise in designing and deploying secure, scalable, and reliable applications on the Amazon Web Services (AWS) platform. SAA-C03 exam is intended for individuals who are proficient in AWS technologies, understand AWS architecture best practices, and have practical experience in designing and deploying scalable, fault-tolerant, and highly available systems.
Amazon AWS Certified Solutions Architect - Associate (SAA-C03) certification exam is designed for professionals who want to validate their skills and knowledge in designing and deploying scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. AWS Certified Solutions Architect - Associate certification is a valuable asset for IT professionals who want to demonstrate their expertise in cloud computing and AWS technologies.
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Amazon SAA-C03 Certification Exam is a comprehensive exam that requires a thorough understanding of AWS services and the ability to apply that knowledge to real-world scenarios. Candidates who pass the exam demonstrate their ability to design and deploy AWS infrastructure, including compute, storage, networking, and security services. They also demonstrate their capability to optimize AWS services for performance, cost, and scalability.
NEW QUESTION # 761
[Design Resilient Architectures]
A company hosts a website analytics application on a single Amazon EC2 On-Demand Instance. The analytics application is highly resilient and is designed to run in stateless mode.
The company notices that the application is showing signs of performance degradation during busy times and is presenting 5xx errors. The company needs to make the application scale seamlessly.
Which solution will meet these requirements MOST cost-effectively?
Answer: D
Explanation:
Auto Scalingis the most effective solution for ensuring seamless scalability of a stateless application. Key points:
Dleverages Auto Scaling with a Spot Fleet for cost efficiency and attaches an ALB to distribute traffic.
A and Bdo not provide automated scaling and would require manual intervention to add more instances.
Cchanges the instance type but does not scale out horizontally, which is required here.
AWS Documentation Reference:
Amazon EC2 Auto Scaling
NEW QUESTION # 762
[Design High-Performing Architectures]
A company plans to migrate toAWS and use Amazon EC2 On-Demand Instances for its application. During the migration testing phase, a technical team observes that the application takes a long time to launch and load memory to become fully productive.
Which solution will reduce the launch time of the application during the next testing phase?
Answer: B
Explanation:
The solution that will reduce the launch time of the application during the next testing phase is to launch the EC2 On-Demand Instances with hibernation turned on and configure EC2 Auto Scaling warm pools. This solution allows the application to resume from a hibernated state instead of starting from scratch, which can save time and resources. Hibernation preserves the memory (RAM) state of the EC2 instances to the root EBS volume and then stops the instances.When the instances are resumed, they restore theirmemory state from the EBS volume and become productive quickly. EC2 Auto Scaling warm pools can be used to maintain a pool of pre-initialized instances that are ready to scale out when needed. Warm pools can also support hibernated instances, which can further reduce the launch time and cost of scaling out.
The other solutions are not as effective as the first one because they either do not reduce the launch time, do not guarantee availability, or do not use On-Demand Instances as required. Launching two or more EC2 On-Demand Instances with auto scaling features does not reduce the launch time of the application, as each instance still has to go through the initialization process. Launching EC2 Spot Instances does not guarantee availability, as Spot Instances can be interrupted by AWS at any time when there is a higher demand for capacity. Launching EC2 On-Demand Instances with Capacity Reservations does not reduce the launch time of the application, as it only ensures that there is enough capacity available for the instances, but does not pre-initialize them.
Reference:
Hibernating your instance - Amazon Elastic Compute Cloud
Warm pools for Amazon EC2 Auto Scaling - Amazon EC2 Auto Scaling
NEW QUESTION # 763
An image hosting company uploads its large assets to Amazon S3 Standard buckets The company uses multipart upload in parallel by using S3 APIs and overwrites if the same object is uploaded again. For the first
30 days after upload, the objects will be accessed frequently. The objects will be used less frequently after 30 days, but the access patterns for each object will be inconsistent The company must optimize its S3 storage costs while maintaining high availability and resiliency of stored assets.
Which combination of actions should a solutions architect recommend to meet these requirements? (Select TWO.)
Answer: A,E
Explanation:
S3 Intelligent-Tiering is a storage class that automatically moves data to the most cost-effective access tier based on access frequency, without performance impact, retrieval fees, or operational overhead1. It is ideal for data with unknown or changing access patterns, such as the company's assets. By moving assets to S3 Intelligent-Tiering after 30 days, the company can optimize its storage costs while maintaining high availability and resilience of stored assets.
S3 Lifecycle is a feature that enables you to manage your objects so that they are stored cost effectively throughout their lifecycle2. You can create lifecycle rules to define actions that Amazon S3 applies to a group of objects. One of the actions is to abort incomplete multipart uploads that can occur when an upload is interrupted. By configuring an S3 Lifecycle policy to clean up incomplete multipart uploads, the company can reduce its storage costs and avoid paying for parts that are not used.
Option C is incorrect because expired object delete markers are automatically deleted by Amazon S3 and do not incur any storage costs3. Therefore, configuring an S3 Lifecycle policy to clean up expired object delete markers will not have any effect on the company's storage costs.
Option D is incorrect because S3 Standard-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard, but it has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 Standard-IA after 30 days may not optimize the company's storage costs if the assets are still accessed occasionally.
Option E is incorrect because S3 One Zone-IA is a storage class for data that is accessed less frequently, but requires rapid access when needed1. It has a lower storage cost than S3 Standard-IA, but it stores data in only one Availability Zone and has less resilience than other storage classes. It also has a higher retrieval cost and a minimum storage duration charge of 30 days. Therefore, moving assets to S3 One Zone-IA after 30 days may not optimize the company's storage costs if the assets are still accessed occasionally or require high availability. Reference URL:
1: https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-class-intro.html
2: https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html
3: https://docs.aws.amazon.com/AmazonS3/latest/userguide/delete-or-empty-bucket.html#delete-bucket-considerat
4: https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html
5: https://aws.amazon.com/certification/certified-solutions-architect-associate/
NEW QUESTION # 764
A company runs a web application on Amazon EC2 instances behind an Application Load Balancer ALB.
The application uses Amazon DynamoDB as its database. The company wants to ensure high performance for reads and writes.
Which solution will meet this requirement MOST cost-effectively?
Answer: D
Explanation:
The most cost-effective general solution isDynamoDB auto scaling. AWS recommends atarget utilization of
70%for provisioned throughput with auto scaling, which lets DynamoDB adjust capacity up or down based on sustained workload patterns. That improves both read and write performance while controlling cost better than manual scaling. A GSI is only useful for specific alternate query patterns and does not solve overall throughput management by itself. DAX helps only with read-heavy caching, not writes. A custom CloudWatch-plus-Lambda scaling solution adds unnecessary operational work compared to native auto scaling. Because the question asks broadly for read and write performance at the best cost, auto scaling with the recommended 70% target is the strongest answer.
NEW QUESTION # 765
A company is using a centralized AWS account to store log data in various Amazon S3 buckets. A solutions architect needs to ensure that the data is encrypted at rest before the data is uploaded to the S3 buckets. The data also must be encrypted in transit.
Which solution meets these requirements?
Answer: A
Explanation:
Explanation
Client-side encryption is a method of encrypting data before uploading it to Amazon S3. It allows users to manage the encryption process, encryption keys, and related tools1. By using client-side encryption, the solution can ensure that the data is encrypted at rest and in transit, as Amazon S3 will not have access to the encryption keys or the unencrypted data2.
NEW QUESTION # 766
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