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| Section | Weight | Objectives |
|---|---|---|
| Design Resilient Architectures | 26% | - Highly available architecture
|
| Design Cost-Optimized Architectures | 20% | - Cost management tools
|
| Design Secure Architectures | 30% | - Secure access to AWS resources
|
| Design High-Performing Architectures | 24% | - Performance scaling
|
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NEW QUESTION # 183
[Design Secure Architectures]
A company needs a solution to enforce data encryption at rest on Amazon EC2 instances. The solution must automatically identify noncompliant resources and enforce compliance policies on findings.
Which solution will meet these requirements with the LEAST administrative overhead?
Answer: A
Explanation:
The best solution to enforce encryption at rest for Amazon EBS volumes is to use anIAM policyto restrict the creation of unencrypted volumes. To automatically identify and remediate unencryptedvolumes, you can useAWS Configrules, which continuously monitor the compliance of resources, andAWS Systems Managerto automate the remediation by encrypting existing unencrypted volumes. This setup requires minimal administrative overhead while ensuring compliance.
Option B (KMS): KMS is for managing encryption keys, but Config and Systems Manager provide a better solution for automatic detection and enforcement.
Option C (Macie): Macie is for data classification and is not suitable for this use case.
Option D (Inspector): Inspector is used for security vulnerabilities, not encryption compliance.
AWS Reference:
AWS Config Rules
AWS Systems Manager
NEW QUESTION # 184
[Design Secure Architectures]
A company seeks a storage solution for its application The solution must be highly available and scalable. The solution also must function as a file system, be mountable by multiple Linux instances in AWS and on premises through native protocols, and have no minimum size requirements. The company has set up a Site-to-Site VPN for access from its on-premises network to its VPC.
Which storage solution meets these requirements?
Answer: D
Explanation:
Amazon EFS is a fully managed file system that can be mounted by multiple Linux instances in AWS and on premises through native protocols such as NFS and SMB. Amazon EFS has no minimum size requirements and can scale up and down automatically as files are added andremoved. Amazon EFS also supports high availability and durability by allowing multiple mount targets in different Availability Zones within a region. Amazon EFS meets all the requirements of the question, while the other options do not. Reference:
https://aws.amazon.com/efs/
https://docs.aws.amazon.com/wellarchitected/latest/performance-efficiency-pillar/storage-architecture-selection.html
https://aws.amazon.com/blogs/storage/from-on-premises-to-aws-hybrid-cloud-architecture-for-network-file-shares/
NEW QUESTION # 185
A solutions architect needs to help a company optimize the cost of running an application on AWS. The application will use Amazon EC2 instances, AWS Fargate, and AWS Lambda for compute within the architecture.
The EC2 instances will run the data ingestion layer of the application. EC2 usage will be sporadic and unpredictable. Workloads that run on EC2 instances can be interrupted at any time. The application front end will run on Fargate, and Lambda will serve the API layer. The front-end utilization and API layer utilization will be predictable over the course of the next year.
Which combination of purchasing options will provide the MOST cost-effective solution for hosting this application? (Choose two.)
Answer: B,C
Explanation:
EC2 instance Savings Plan saves 72% while Compute Savings Plans saves 66%. But according to link, it says "Compute Savings Plans provide the most flexibility and help to reduce your costs by up to 66%. These plans automatically apply to EC2 instance usage regardless of instance family, size, AZ, region, OS or tenancy, and also apply to Fargate and Lambda usage." EC2 instance Savings Plans are not applied to Fargate or Lambda
NEW QUESTION # 186
A company recently launched a new application for its customers. The application runs on multiple Amazon EC2 instances across two Availability Zones. End users use TCP to communicate with the application.
The application must be highly available and must automatically scale as the number of users increases.
Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)
Answer: B,E
Explanation:
For an application requiring TCP communication and high availability:
Network Load Balancer (NLB)is the best choice for load balancing TCP traffic because it is designed for handling high-throughput, low-latency connections.
Auto Scaling groupensures that the application can automatically scale based on demand, adding or removing EC2 instances as needed, which is crucial for handling user growth.
Option C (Application Load Balancer): ALB is primarily for HTTP/HTTPS traffic, not ideal for TCP.
Option D (Manual scaling): Manually adding instances does not provide the automation or scalability required.
Option E (Gateway Load Balancer): GLB is used for third-party virtual appliances, not for direct application load balancing.
AWS Reference:
Network Load Balancer
Auto Scaling Group
NEW QUESTION # 187
A company will deployed a web application on AWS. The company hosts the backend database on Amazon RDS for MySQL with a primary DB instance and five read replicas to support scaling needs. The read replicas must log no more than 1 second bahind the primary DB Instance. The database routinely runs scheduled stored procedures.
As traffic on the website increases, the replicas experinces addtional lag during periods of peak lead. A solutions architect must reduce the replication lag as much as possible. The solutions architect must minimize changes to the applicatin code and must minimize ongoing overhead.
Which solution will meet these requirements?
Migrate the database to Amazon Aurora MySQL. Replace the read replicas with Aurora Replicas, and configure Aurora Auto Scaling. Replace the stored procedures with Aurora MySQL native functions.
Deploy an Amazon ElasticCache for Redis cluser in front of the database. Modify the application to check the cache before the application queries the database. Repace the stored procedures with AWS Lambda funcions.
Answer: A
Explanation:
Option A is the most appropriate solution for reducing replication lag without significant changes to the application code and minimizing ongoing operational overhead. Migrating the database to Amazon Aurora MySQL allows for improved replication performance and higher scalability compared to Amazon RDS for MySQL. Aurora Replicas provide faster replication, reducing the replication lag, and Aurora Auto Scaling ensures that there are enough Aurora Replicas to handle the incoming traffic. Additionally, Aurora MySQL native functions can replace the stored procedures, reducing the load on the database and improving performance.
NEW QUESTION # 188
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