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Amazon SAA-C03 Certification Exam is a highly sought-after certification for professionals who want to validate their skills in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS). The SAA-C03 exam is the updated version of the previous SAA-C02 exam and is designed to test a candidate's ability to design and implement solutions that meet customer requirements using AWS services and technologies.

Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) Certification Exam is designed for individuals 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 exam is ideal for professionals who are looking to enhance their career prospects in cloud computing, particularly in the AWS ecosystem. The SAA-C03 Certification Exam is the latest version of the AWS Solutions Architect - Associate certification and is updated to reflect the latest AWS services and trends in cloud computing.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q426-Q431):

NEW QUESTION # 426
A company hosts an application on AWS Lambda functions mat are invoked by an Amazon API Gateway API. The Lambda functions save customer data to an Amazon Aurora MySQL database. Whenever the company upgrades the database, the Lambda functions fail to establish database connections until the upgrade is complete. The result is that customer data Is not recorded for some of the event. A solutions architect needs to design a solution that stores customer data that is created during database upgrades. Which solution will meet these requirements?

Answer: D

Explanation:
SQS maintains the data if the lambda function fails, RDS Proxy just reuses db connections for performance.


NEW QUESTION # 427
An online shopping platform is hosted on an Auto Scaling group of On-Demand EC2 instances with a default Auto Scaling termination policy and no instance protection configured. The system is deployed across three Availability Zones in the US West region (us-west-1) with an Application Load Balancer in front to provide high availability and fault tolerance for the shopping platform. The us-west-1a, us-west-1, and us-west-1c Availability Zones have 10, 8 and 7 running instances respectively. Due to the low number of incoming traffic, the scale-in operation has been triggered.
Which of the following will the Auto Scaling group do to determine which instance to terminate first in this scenario? (Select THREE.)

Answer: A,C,E

Explanation:
The default termination policy is designed to help ensure that your network architecture spans Availability Zones evenly. With the default termination policy, the behavior of the Auto Scaling group is as follows:
1. If there are instances in multiple Availability Zones, choose the Availability Zone with the most instances and at least one instance that is not protected from scale in. If there is more than one Availability Zone with this number of instances, choose the Availability Zone with the instances that use the oldest launch configuration.
2. Determine which unprotected instances in the selected Availability Zone use the oldest launch configuration. If there is one such instance, terminate it.
3. If there are multiple instances to terminate based on the above criteria, determine which unprotected instances are closest to the next billing hour. (This helps you maximize the use of your EC2 instances and manage your Amazon EC2 usage costs.) If there is one such instance, terminate it.
4. If there is more than one unprotected instance closest to the next billing hour, choose one of these instances at random.
The following flow diagram illustrates how the default termination policy works:


Explanation:
Reference:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-instance-termination.html#default-termination-policy
Check out this AWS Auto Scaling Cheat Sheet:
https://tutorialsdojo.com/aws-auto-scaling/


NEW QUESTION # 428
A company needs to save the results from a medical trial to an Amazon S3 repository. The repository must allow a few scientists to add new files and must restrict all other users to read-only access. No users can have the ability to modify or delete any files in the repository. The company must keep every file in the repository for a minimum of 1 year after its creation date.
Which solution will meet these requirements?

Answer: C

Explanation:
In compliance mode, a protected object version can't be overwritten or deleted by any user, including the root user in your AWS account. When an object is locked in compliance mode, its retention mode can't be changed, and its retention period can't be shortened. Compliance mode helps ensure that an object version can't be overwritten or deleted for the duration of the retention period. In governance mode, users can't overwrite or delete an object version or alter its lock settings unless they have special permissions. With governance mode, you protect objects against being deleted by most users, but you can still grant some users permission to alter the retention settings or delete the object if necessary. In Governance mode, Objects can be deleted by some users with special permissions, this is against the requirement.
Compliance:
- Object versions can't be overwritten or deleted by any user, including the root user
- Objects retention modes can't be changed, and retention periods can't be shortened Governance:
- Most users can't overwrite or delete an object version or alter its lock settings
- Some users have special permissions to change the retention or delete the object


NEW QUESTION # 429
A company uses Amazon S3 to host its static website. The company wants to add a contact form to the webpage. The contact form will have dynamic server-side components for users to input their name, email address, phone number, and user message.
The company expects fewer than 100 site visits each month. The contact form must notify the company by email when a customer fills out the form.
Which solution will meet these requirements MOST cost-effectively?

Answer: D

Explanation:
Using API Gateway and Lambda enables serverless handling of form submissions with minimal cost and infrastructure. When coupled with Amazon SNS, it allows instant email notifications without running servers, making it ideal for low-traffic workloads.
Reference: AWS Documentation - Serverless Contact Form with API Gateway, Lambda, and SNS


NEW QUESTION # 430
A new company policy requires IAM users to change their passwords' minimum length to 12 characters. After a random inspection, you found out that there are still employees who do not follow the policy.
How can you automatically check and evaluate whether the current password policy for an account complies with the company password policy?

Answer: C

Explanation:
AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. Config continuously monitors and records your AWS resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations.

In the scenario given, we can utilize AWS Config to check for compliance on the password policy by configuring the Config rule to check the IAM_PASSWORD_POLICY on an account. Additionally, because Config integrates with AWS Organizations, we can improve the set up to aggregate compliance information across accounts to a central dashboard.
Hence, the correct answer is: Configure AWS Config to trigger an evaluation that will check the compliance for a user's password periodically.
Create a CloudTrail trail. Filter the result by setting the attribute to "Event Name" and lookup value to
"ChangePassword". This easily gives you the list of users who have made changes to their passwords is incorrect because this setup will just give you the name of the users who have made changes to their respective passwords. It will not give you the ability to check whether their passwords have met the required minimum length.
Create a Scheduled Lambda function that will run a custom script to check compliance against changes made to the passwords periodically is a valid solution but still incorrect. AWS Config is already integrated with AWS Lambda. You don't have to create and manage your own Lambda function. You just have to define a Config rule where you will check compliance, and Lambda will process the evaluation.
Moreover, you can't directly create a scheduled function by using Lambda itself. You have to create a rule in AWS CloudWatch Events to run the Lambda functions on the schedule that you define.
Create a rule in the Amazon CloudWatch event. Build an event pattern to match events on IAM. Set the event name to "ChangePassword" in the event pattern. Configure SNS to send notifications to you whenever a user has made changes to his password is incorrect because this setup will just alert you whenever a user changes his password. Sure, you'll have information about who made changes, but that is not enough to check whether it complies with the required minimum password length. This can be easily done in AWS Config.
References:
https://docs.aws.amazon.com/config/latest/developerguide/evaluate-config-rules.html
https://aws.amazon.com/config/
Check out this AWS Config Cheat Sheet:
https://tutorialsdojo.com/aws-config/


NEW QUESTION # 431
......

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