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Amazon SAA-C03 Certification Exam is a highly sought-after certification for IT professionals seeking to demonstrate their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) cloud platform. AWS Certified Solutions Architect - Associate certification exam is designed to validate the candidate's ability to architect and deploy secure and robust applications on the AWS platform, using best practices and industry-standard techniques.
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q601-Q606):
NEW QUESTION # 601
A company has a running m5ad.large EC2 instance with a default attached 75 GB SSD instance- store backed volume. You shut it down and then start the instance. You noticed that the data which you have saved earlier on the attached volume is no longer available.
What might be the cause of this?
Answer: B
Explanation:
An instance store provides temporary block-level storage for your instance. This storage is located on disks that are physically attached to the host computer. Instance store is ideal for temporary storage of information that changes frequently, such as buffers, caches, scratch data, and other temporary content, or for data that is replicated across a fleet of instances, such as a load-balanced pool of web servers.
An instance store consists of one or more instance store volumes exposed as block devices. The size of an instance store as well as the number of devices available varies by instance type. While an instance store is dedicated to a particular instance, the disk subsystem is shared among instances on a host computer.
The data in an instance store persists only during the lifetime of its associated instance. If an instance reboots (intentionally or unintentionally), data in the instance store persists. However, data in the instance store is lost under the following circumstances:
- The underlying disk drive fails
- The instance stops
- The instance terminates
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html Amazon EC2 Overview: https://www.youtube.com/watch?v=7VsGIHT_jQE Check out this Amazon EC2 Cheat Sheet: https://tutorialsdojo.com/amazon-elastic-compute-cloud- amazon-ec2/
NEW QUESTION # 602
[Design Secure Architectures]
A company has an application that ingests incoming messages. These messages are then quickly consumed by dozens of other applications and microservices.
The number of messages varies drastically and sometimes spikes as high as 100,000 each second. The company wants to decouple the solution and increase scalability.
Which solution meets these requirements?
Answer: B
Explanation:
https://aws.amazon.com/sqs/features/
By routing incoming requests to Amazon SQS, the company can decouple the job requests from the processing instances. This allows them to scale the number of instances based on the size of the queue, providing more resources when needed. Additionally, using an Auto Scaling group based on the queue size will automatically scale the number of instances up or down depending on the workload. Updating the software to read from the queue will allow it to process the job requests in a more efficient manner, improving the performance of the system.
NEW QUESTION # 603
A company provides a Voice over Internet Protocol (VoIP) service that uses UDP connections. The service consists of Amazon EC2 instances that run in an Auto Scaling group. The company has deployments across multiple AWS Regions.
The company needs to route users to the Region with the lowest latency. The company also needs automated failover between Regions.
Which solution will meet these requirements?
Answer: D
NEW QUESTION # 604
A top investment bank is in the process of building a new Forex trading platform. To ensure high availability and scalability, you designed the trading platform to use an Elastic Load Balancer in front of an Auto Scaling group of On-Demand EC2 instances across multiple Availability Zones. For its database tier, you chose to use a single Amazon Aurora instance to take advantage of its distributed, fault-tolerant, and self-healing storage system.
In the event of system failure on the primary database instance, what happens to Amazon Aurora during the failover?
Answer: B
Explanation:
Failover is automatically handled by Amazon Aurora so that your applications can resume database operations as quickly as possible without manual administrative intervention.
If you have an Amazon Aurora Replica in the same or a different Availability Zone, when failing over, Amazon Aurora flips the canonical name record (CNAME) for your DB Instance to point at the healthy replica, which in turn is promoted to become the new primary. Start-to-finish, failover typically completes within 30 seconds.
If you are running Aurora Serverless and the DB instance or AZ become unavailable, Aurora will automatically recreate the DB instance in a different AZ.
If you do not have an Amazon Aurora Replica (i.e. single instance) and are not running Aurora Serverless, Aurora will attempt to create a new DB Instance in the same Availability Zone as the original instance. This replacement of the original instance is done on a best-effort basis and may not succeed, for example, if there is an issue that is broadly affecting the Availability Zone.
Hence, the correct answer is the option that says: Aurora will attempt to create a new DB Instance in the same Availability Zone as the original instance and is done on a best-effort basis.
The options that say: Amazon Aurora flips the canonical name record (CNAME) for your DB Instance to point at the healthy replica, which in turn is promoted to become the new primary and Amazon Aurora flips the A record of your DB Instance to point at the healthy replica, which in turn is promoted to become the new primary are incorrect because this will only happen if you are using an Amazon Aurora Replica.
In addition, Amazon Aurora flips the canonical name record (CNAME) and not the A record (IP address) of the instance.
The option that says: Aurora will first attempt to create a new DB Instance in a different Availability Zone of the original instance. If unable to do so, Aurora will attempt to create a new DB Instance in the original Availability Zone in which the instance was first launched is incorrect because Aurora will first attempt to create a new DB Instance in the same Availability Zone as the original instance. If unable to do so, Aurora will attempt to create a new DB Instance in a different Availability Zone and not the other way around.
References:
https://aws.amazon.com/rds/aurora/faqs/
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.AuroraHighAvailability.ht ml Amazon Aurora Overview:
https://youtu.be/iwS1h7rLNBQ
Check out this Amazon Aurora Cheat Sheet:
https://tutorialsdojo.com/amazon-aurora/
NEW QUESTION # 605
[Design High-Performing Architectures]
A company has a serverless web application that is comprised of AWS Lambda functions. The application experiences spikes in traffic that cause increased latency because of cold starts. The company wants to improve the application's ability to handle traffic spikes and to minimize latency. The solution must optimize costs during periods when traffic is low.
Which solution will meet these requirements?
Answer: B
Explanation:
Provisioned Concurrency:
AWS Lambda's provisioned concurrency ensures that a predefined number of execution environments are pre-warmed and ready to handle requests, reducing latency during traffic spikes.
This solution optimizes costs during low-traffic periods when combined with AWS Application Auto Scaling to dynamically adjust the provisioned concurrency based ondemand.
Incorrect Options Analysis:
Option B: Switching to EC2 would increase complexity and cost for a serverless application.
Option C: A fixed concurrency level may result in over-provisioning during low-traffic periods, leading to higher costs.
Option D: Periodically warming functions does not effectively handle sudden spikes in traffic.
Reference:
AWS Lambda Provisioned Concurrency
NEW QUESTION # 606
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