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Amazon SAA-C03 Certification is a valuable credential that demonstrates an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. Achieving this certification can help professionals advance their careers in cloud computing and increase their earning potential. Additionally, it can also help organizations identify qualified professionals who can help them design and deploy cloud-based solutions on AWS.
Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q413-Q418):
NEW QUESTION # 413
A company has hired a solutions architect to design a reliable architecture for its application. The application consists of one Amazon RDS DB instance and two manually provisioned Amazon EC2 instances that run web servers. The EC2 instances are located in a single Availability Zone.
An employee recently deleted the DB instance, and the application was unavailable for 24 hours as a result.
The company is concerned with the overall reliability of its environment.
What should the solutions architect do to maximize reliability of the application's infrastructure?
- A. Delete one EC2 instance and enable termination protection on the other EC2 instance. Update the DB instance to be Multi-AZ, and enable deletion protection.
- B. Update the DB instance to be Multi-AZ, and enable deletion protection. Place the EC2 instances behind an Application Load Balancer, and run them in an EC2 Auto Scaling group across multiple Availability Zones.
- C. Create an additional DB instance along with an Amazon API Gateway and an AWS Lambda function.
Configure the application to invoke the Lambda function through API Gateway. Have the Lambda function write the data to the two DB instances. - D. Place the EC2 instances in an EC2 Auto Scaling group that has multiple subnets located in multiple Availability Zones. Use Spot Instances instead of On-Demand Instances. Set up Amazon CloudWatch alarms to monitor the health of the instances. Update the DB instance to be Multi-AZ, and enable deletion protection.
Answer: B
Explanation:
This answer is correct because it meets the requirements of maximizing the reliability of the application's infrastructure. You can update the DB instance to be Multi-AZ, which means that Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance. It can also help protect your databases against DB instance failure and Availability Zone disruption. You can also enable deletion protection on the DB instance, which prevents the DB instance from being deleted by any user. You can place the EC2 instances behind an Application Load Balancer, which distributes incoming application traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. This increases the availability and fault tolerance of your applications. You can run the EC2 instances in an EC2 Auto Scaling group across multiple Availability Zones, which ensures that you have the correct number of EC2 instances available to handle the load for your application. You can use scaling policies to adjust the number of instances in your Auto Scaling group in response to changing demand.
References:
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_DeleteInstance.
html#USER_DeleteInstance.DeletionProtection
* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html
* https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html
NEW QUESTION # 414
A solutions architect has created a new AWS account and must secure AWS account root user access.
Which combination of actions will accomplish this? (Choose two.)
- A. Enable multi-factor authentication to the root user.
- B. Ensure the root user uses a strong password.
- C. Add the root user to a group containing administrative permissions.
- D. Store root user access keys in an encrypted Amazon S3 bucket.
- E. Apply the required permissions to the root user with an inline policy document.
Answer: A,B
Explanation:
Explanation
https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html
https://docs.aws.amazon.com/accounts/latest/reference/best-practices-root-user.html * Enable AWS multi-factor authentication (MFA) on your AWS account root user. For more information, see Using multi-factor authentication (MFA) in AWS in the IAM User Guide. * Never share your AWS account root user password or access keys with anyone. * Use a strong password to help protect access to the AWS Management Console. For information about managing your AWS account root user password, see Changing the password for the root user.
NEW QUESTION # 415
[Design Secure Architectures]
A company wants to share accounting data with an external auditor. The data is stored in an Amazon RDS DB instance that resides in a private subnet. The auditor has its own AWS account and requires its own copy of the database.
What is the MOST secure way for the company to share the database with the auditor?
- A. Create a read replica of the database. Configure IAM standard database authentication to grant the auditor access.
- B. Export the database contents to text files. Store the files in an Amazon S3 bucket. Create a new IAM user for the auditor. Grant the user access to the S3 bucket.
- C. Copy a snapshot of the database to an Amazon S3 bucket. Create an IAM user. Share the user's keys with the auditor to grant access to the object in the $3 bucket.
- D. Create an encrypted snapshot of the database. Share the snapshot with the auditor. Allow access to the AWS Key Management Service (AWS KMS) encryption key.
Answer: D
Explanation:
This answer is correct because it meets the requirements of sharing the database with the auditor in a secure way. You can create an encrypted snapshot of the database by using AWS Key Management Service (AWS KMS) to encrypt the snapshot with a customer managed key. You can share the snapshot with the auditor by modifying the permissions of the snapshot and specifying the AWS account ID of the auditor. You can also allow access to the AWS KMS encryption key by adding a key policy statement that grants permissions to the auditor's account. This way, you can ensure that only the auditor can access and restore the snapshot in their own AWS account.
Reference:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ShareSnapshot.html
https://docs.aws.amazon.com/kms/latest/developerguide/key-policies.html#key-policy-default-allow-root-enable-iam
NEW QUESTION # 416
[Design Secure Architectures]
A company uses Amazon EC2 instances and AWS Lambda functions to run its application. The company has VPCs with public subnets and private subnets in its AWS account. The EC2 instances run in a private subnet in one of the VPCs. The Lambda functions need direct network access to the EC2 instances for the application to work.
The application will run for at least 1 year. The company expects the number of Lambda functions that the application uses to increase during that time. The company wants to maximize its savings on all application resources and to keep network latency between the services low.
Which solution will meet these requirements?
- A. Purchase a Compute Savings Plan. Optimize the Lambda functions duration and memory usage, the number of invocations, and the amount of data that is transferred Connect the Lambda function to the Private subnet that contains the EC2 instances.
- B. Purchase on an EC2 instance Savings Plan. Optimize the Lambda functions duration and memory usage and the number of invocations. Connect the Lambda functions to the private subnet that contains the EC2 instances.
- C. Purchase a Compute Savings Plan. Optimize the Lambda functions' duration and memory usage, the number of invocations, and the amount of data that is transferred Keep the Lambda functions in the Lambda service VPC.
- D. Purchase on an EC2 instance Savings Plan. Optimize the Lambda functions duration and memory usage and the number of invocation, and the amount of data that is transfered. Connect the Lambda functions to a public subnet in the same VPC where the EC2 instances run.
Answer: A
Explanation:
By purchasing a Compute Savings Plan, the company can save on the costs of running both EC2 instances and Lambda functions. The Lambda functions can be connected to the private subnet that contains the EC2 instances through a VPC endpoint for AWS services or a VPC peering connection. This provides direct network access to the EC2 instances while keeping the traffic within the private network, which helps to minimize network latency. Optimizing the Lambda functions' duration, memory usage, number of invocations, and amount of data transferred can help to further minimize costs and improve performance. Additionally, using a private subnet helps to ensure that the EC2 instances are not directly accessible from the public internet, which is a security best practice.
NEW QUESTION # 417
A company runs a critical data analysis job each week before the first day of the work week The job requires at least 1 hour to complete the analysis The job is stateful and cannot tolerate interruptions. The company needs a solution to run the job on AWS.
Which solution will meet these requirements?
- A. Configure an AWS DataSync task to run the job Configure a cron expression to run the task on a schedule.
- B. Configure an Auto Scaling group of Amazon EC2 Spot Instances that run Amazon Linux Configure a crontab entry on the instances to run the analysis.
- C. Create a container for the job. Schedule the job to run as an AWS Fargate task on an Amazon Elastic Container Service (Amazon ECS) cluster by using Amazon EventBridge Scheduler.
- D. Configure the job to run in an AWS Lambda function. Create a scheduled rule in Amazon EventBridge to invoke the Lambda function.
Answer: C
Explanation:
* Understanding the Requirement: The job is stateful, cannot tolerate interruptions, and needs to run reliably for at least one hour each week.
* Analysis of Options:
* AWS Fargate with Amazon ECS and EventBridge: This option provides a serverless compute engine for containers that can run stateful tasks reliably. Using EventBridge Scheduler, the job can be triggered automatically at the specified time without manual intervention.
* AWS Lambda with EventBridge: Lambda functions are not suitable for long-running stateful jobs since they have a maximum execution time of 15 minutes.
* EC2 Spot Instances: Spot Instances can be interrupted, making them unsuitable for a stateful job that cannot tolerate interruptions.
* AWS DataSync: This service is primarily for moving large amounts of data and is not designed to run stateful analysis jobs.
* Best Option for Reliable, Scheduled Execution:
* The Fargate task on ECS with EventBridge Scheduler meets all requirements, providing the necessary reliability and scheduling capabilities without interruption risks.
References:
* Amazon ECS
* AWS Fargate
* Amazon EventBridge
NEW QUESTION # 418
......
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