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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q795-Q800):
NEW QUESTION # 795
A company is running a critical workload on an Amazon RDS DB instance. The company needs the DB instance to be highly available. The company requires a recovery time of less than 5 minutes. Which solution will meet these requirements?
- A. Take periodic snapshots of the DB instance. Store the snapshots in Amazon S3.
- B. Create a read replica of the DB instance.
- C. Use AWS CloudFormation to create a template of the DB instance.
- D. Modify the DB instance to use a Multi-AZ deployment.
Answer: D
Explanation:
An Amazon RDS Multi-AZ deployment provides synchronous replication to a standby instance in another Availability Zone and supports automatic failover within minutes. This meets the requirement for high availability and a recovery time of less than 5 minutes.
NEW QUESTION # 796
[Design Secure Architectures]
A company runs a Node.js function on a server in its on-premises data center. The data center stores data in a PostgreSQL database. The company stores the credentials in a connection string in an environment variable on the server. The company wants to migrate its application to AWS and to replace the Node.js application server with AWS Lambd a. The company also wants to migrate to Amazon RDS for PostgreSQL and to ensure that the database credentials are securely managed.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Store the database credentials as an encrypted Lambda environment variable. Write a custom Lambda function to rotate the credentials. Schedule the Lambda function to run every 30 days.
- B. Store the database credentials as a secret in AWS Secrets Manager. Configure Secrets Manager to automatically rotate the credentials every 30 days Update the Lambda function to retrieve the credentials from the secret.
- C. Store the database credentials as a key in AWS Key Management Service (AWS KMS). Configure automatic rotation for the key. Update the Lambda function to retrieve the credentials from the KMS key.
- D. Store the database credentials as a parameter in AWS Systems Manager Parameter Store. Configure Parameter Store to automatically rotate the secrets every 30 days. Update the Lambda function to retrieve the credentials from the parameter.
Answer: B
Explanation:
AWS Secrets Manager is designed specifically to securely store and manage sensitive information such as database credentials. It integrates seamlessly with AWS services like Lambda and RDS, and it provides automatic credential rotation with minimal operational overhead.
AWS Secrets Manager: By storing the database credentials in Secrets Manager, you ensure that the credentials are securely stored, encrypted, and managed. Secrets Manager provides a built-in mechanism to automatically rotate credentials at regular intervals (e.g., every 30 days), which helps in maintaining security best practices without requiring additional manual intervention.
Lambda Integration: The Lambda function can be easily configured to retrieve the credentials from Secrets Manager using the AWS SDK, ensuring that the credentials are accessed securely at runtime.
Why Not Other Options?:
Option A (Parameter Store with Rotation): While Parameter Store can store parameters securely, Secrets Manager is more tailored for secrets management and automatic rotation, offering more features and less operational overhead.
Option C (Encrypted Lambda environment variable): Storing credentials directly in Lambda environment variables, even when encrypted, requires custom code to manage rotation, which increases operational complexity.
Option D (KMS with automatic rotation): KMS is for managing encryption keys, not for storing and rotating secrets like database credentials. This option would require more custom implementation to manage credentials securely.
AWS Reference:
AWS Secrets Manager- Detailed documentation on how to store, manage, and rotate secrets using AWS Secrets Manager.
Using Secrets Manager with AWS Lambda- Guidance on integrating Secrets Manager with Lambda for secure credential management.
NEW QUESTION # 797
A company needs a solution to prevent AWS CloudFormation stacks from deploying AWS Identity and Access Management (1AM) resources that include an inline policy or "*" in the statement The solution must also prohibit deployment ot Amazon EC2 instances with public IP addresses The company has AWS Control Tower enabled in its organization in AWS Organizations.
Which solution will meet these requirements?
- A. Use AWS Control Tower detective controls to block deployment of EC2 instances with public IP addresses and inline policies with elevated access or ""
- B. Use AWS Config to create rules for EC2 and 1AM compliance Configure the rules to run an AWS Systems Manager Session Manager automation to delete a resource when it is not compliant
- C. Use AWS Control Tower proactive controls to block deployment of EC2 instances with public IP addresses and inline policies with elevated access or "*"
- D. Use a service control policy (SCP) to block actions for the EC2 instances and 1AM resources if the actions lead to noncompliance
Answer: D
Explanation:
A service control policy (SCP) is a type of policy that you can use to manage permissions in your organization. SCPs offer central control over the maximum available permissions for all accounts in your organization, allowing you to ensure your accounts stay within your organization's access control guidelines.
SCPs are available only in an organization that has all features enabled. SCPs do not grant permissions; instead, they specify the maximum permissions for an organization or organizational unit (OU). SCPs limit permissions that identity-based policies or resource-based policies grant to entities (users or roles) within the account, but do not grant permissions to entities. You can use SCPs to restrict the actions that the root user in an account can perform. You can also use SCPs to prevent users or roles in any account from creating or modifying certain AWS resources, such as EC2 instances with public IP addresses or IAM resources with inline policies or "". For example, you can create an SCP that denies the ec2:RunInstances action if the request includes the AssociatePublicIpAddress parameter set to true. You can also create an SCP that denies the iam:PutUserPolicy and iam:PutRolePolicy actions if the request includes a policy document that contains "".
By attaching these SCPs to your organization or OUs, you can prevent the deployment of AWS CloudFormation stacks that violate these rules.
AWS Control Tower proactive controls are guardrails that enforce preventive policies on your accounts and resources. Proactive guardrails are implemented as AWS Organizations service control policies (SCPs) and AWS Config rules. However, AWS Control Tower does not provide a built-in proactive guardrail to block EC2 instances with public IP addresses or IAM resources with inline policies or "*". You would have to create your own custom guardrails using AWS CloudFormation templates and SCPs, which is essentially the same as option D. Therefore, option A is not correct.
AWS Control Tower detective controls are guardrails that detect and alert on policy violations in your accounts and resources. Detective guardrails are implemented as AWS Config rules and Amazon CloudWatch alarms. Detective guardrails do not block or remediate noncompliant resources; they only notify you of the issues. Therefore, option B is not correct.
AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config continuously monitors and records your AWS resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations. AWS Config rules are customizable, AWS Lambda functions that AWS Config invokes to evaluate your AWS resource configurations. You can use AWS Config rules to check for compliance with your policies, such as ensuring that EC2 instances have public IP addresses disabled or IAM resources do not have inline policies or "*".
However, AWS Config rules alone cannot prevent the deployment of AWS CloudFormation stacks that violate these policies; they can only report the compliance status. You would need to use another service, such as AWS Systems Manager Session Manager, to run automation scripts to delete or modify the noncompliant resources. This would require additional configuration and permissions, and may not be the most efficient or secure way to enforce your policies. Therefore, option C is not correct.
References:
* Service Control Policies
* AWS Control Tower Guardrails
* AWS Config
NEW QUESTION # 798
A company is hosting multiple websites for several lines of business under its registered parent domain. Users accessing these websites will be routed to appropriate backend Amazon EC2instances based on the subdomain. The websites host static webpages, images, and server-side scripts like PHP and JavaScript.
Some of the websites experience peak access during the first two hours of business with constant usage throughout the rest of the day. A solutions architect needs to design a solution that will automatically adjust capacity to these traffic patterns while keeping costs low.
Which combination of AWS services or features will meet these requirements? (Select TWO.)
- A. Amazon EC2 Auto Scaling
- B. AWS Batch
- C. Amazon S3 website hosting
- D. Network Load Balancer
- E. Application Load Balancer
Answer: A,E
Explanation:
An Application Load Balancer supports path- and host-based routing, which makes it ideal for routing requests based on subdomains. EC2 Auto Scaling ensures that the number of instances adjusts dynamically based on traffic, which helps manage cost and performance during predictable peak hours.
Reference:
NEW QUESTION # 799
[Design Resilient Architectures]
A company runs a shopping application that uses Amazon DynamoDB to store customer information. In case of data corruption, a solutions architect needs to design a solution that meets a recovery point objective (RPO) of 15 minutes and a recovery time objective (RTO) of 1 hour.
What should the solutions architect recommend to meet these requirements?
- A. Export the DynamoDB data to Amazon S3 Glacier on a daily basis. For RPO recovery, import the data from S3 Glacier to DynamoDB.
- B. Configure DynamoDB global tables. For RPO recovery, point the application to a different AWS Region.
- C. Schedule Amazon Elastic Block Store (Amazon EBS) snapshots for the DynamoDB table every 15 minutes. For RPO recovery, restore the DynamoDB table by using the EBS snapshot.
- D. Configure DynamoDB point-in-time recovery. For RPO recovery, restore to the desired point in time.
Answer: D
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/PointInTimeRecovery.html
NEW QUESTION # 800
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