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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Design solutions for organizational complexity	26%
Continuous improvement for existing solutions	25%
Design for new solutions	29%
Accelerate workload migration and modernization	20%

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최신 AWS Certified Solutions Architect SAP-C02 무료샘플문제 (Q806-Q811):

질문 # 806
A company stores data on an Amazon RDS for PostgreSQL DB instance in a private subnet in an AWS database account. Applications that are deployed in different VPCs access this data from different AWS accounts.
The company needs to manage the number of active connections to the DB instance. Communication between all accounts and the database account must be private and must not travel across the internet. The solution must be scalable to accommodate more consumer accounts in the future.
Which solution will meet these requirements?

A. Create a VPC peering connection between the VPC that contains the DB instance and each VPC from the other accounts. Configure an Application Load Balancer to provide access to the DB instance through the peering connection.
B. Connect all the VPCs in all the accounts by using a transit gateway. Configure a NAT gateway in a public subnet. Route traffic from the NAT gateway through the transit gateway to the DB instance.
C. Create a VPC peering connection between the VPC that contains the DB instance and each VPC from the other accounts. Configure a NAT gateway in a public subnet to route traffic to the DB instance.
D. Create an RDS proxy in the AWS database account. Create a proxy endpoint in the private subnet.
Configure AWS PrivateLink with a Network Load Balancer to provide access to the DB instance.

정답：D

설명：
Comprehensive and Detailed Explanation From Exact Extract:
There are three core requirements: reduce/manage active database connections, keep communication private without internet exposure, and scale to many consumer accounts over time.
To manage and pool database connections to an Amazon RDS for PostgreSQL DB instance, the AWS- managed service designed for this purpose is Amazon RDS Proxy. RDS Proxy maintains a pool of database connections and multiplexes application connections onto fewer database connections. This reduces connection overhead on the database, improves resiliency during failovers, and helps control the number of active connections that reach the DB instance.
Next, the connectivity must be private across accounts and scalable as more consumer accounts are added.
AWS PrivateLink provides scalable, private connectivity between VPCs and services across accounts without requiring VPC peering, transitive routing, or exposing traffic to the public internet. With PrivateLink, the database account can publish an endpoint service backed by a Network Load Balancer, and consumer accounts create interface endpoints in their VPCs to connect privately to that service. This is operationally scalable because adding new consumer accounts does not require managing a growing mesh of VPC peering relationships or complex route propagation; each consumer adds an interface endpoint.
Option B is the only option that addresses connection management by introducing RDS Proxy and uses PrivateLink to provide private, cross-account, scalable connectivity. The proxy endpoint being in private subnets aligns with the requirement that traffic stays private.
Option A is incorrect because a NAT gateway in a public subnet is used for outbound internet access from private subnets. It is not needed for private cross-account database access and introduces unnecessary public subnet components. Also, NAT gateways do not manage database connections. Transit gateway can provide private connectivity, but it does not address connection pooling, and the NAT gateway component is not appropriate for the stated requirement of avoiding internet exposure.
Option C is incorrect because an Application Load Balancer is not used to proxy raw PostgreSQL database traffic. PostgreSQL uses TCP, and ALB is primarily for HTTP/HTTPS and higher-layer routing. Also, VPC peering to each consumer VPC does not scale well as the number of accounts grows, and it creates operational overhead to manage many peering connections and route tables. It also does not manage DB connections.
Option D is incorrect because it uses VPC peering and NAT gateway. NAT gateway is again not the correct mechanism for private database access and does not provide connection pooling. VPC peering per consumer is not scalable and increases operational overhead.
Therefore, using RDS Proxy to manage connections and AWS PrivateLink (via an NLB-backed endpoint service) to provide private, scalable cross-account access is the correct solution.
References:AWS documentation on Amazon RDS Proxy for connection pooling and managing database connections for Amazon RDS databases.AWS documentation on AWS PrivateLink for private, scalable cross- account access to services through interface VPC endpoints and endpoint services backed by Network Load Balancers.AWS guidance contrasting PrivateLink with VPC peering for scalability and operational simplicity in multi-account, multi-VPC architectures.

질문 # 807
An ecommerce company runs an application on AWS. The application has an Amazon API Gateway API that invokes an AWS Lambda function. The data is stored in an Amazon RDS for PostgreSQL DB instance.
During the company's most recent flash sale, a sudden increase in API calls negatively affected the application's performance. A solutions architect reviewed the Amazon CloudWatch metrics during that time and noticed a significant increase in Lambda invocations and database connections. The CPU utilization also was high on the DB instance.
What should the solutions architect recommend to optimize the application's performance?

A. Modify the Lambda function to connect to the database outside of the function's handler. Check for an existing database connection before creating a new connection.
B. Create an RDS proxy by using the Lambda console. Modify the Lambda function to use the proxy endpoint.
C. Increase the memory of the Lambda function. Modify the Lambda function to close the database connections when the data is retrieved.
D. Add an Amazon ElastiCache for Redis cluster to store the frequently accessed data from the RDS database.

정답：B

설명：
https://repost.aws/knowledge-center/lambda-rds-database-proxy

질문 # 808
A solutions architect is auditing the security setup of an AWS Lambda function for a company. The Lambda function retrieves the latest changes from an Amazon Aurora database. The Lambda function and the database run in the same VPC. Lambda environment variables are providing the database credentials to the Lambda function.
The Lambda function aggregates data and makes the data available in an Amazon S3 bucket that is configured for server-side encryption with AWS KMS managed encryption keys (SSE-KMS). The data must not travel across the internet. If any database credentials become compromised, the company needs a solution that minimizes the impact of the compromise.
What should the solutions architect recommend to meet these requirements?

A. Enable IAM database authentication on the Aurora DB cluster. Change the IAM role for the Lambda function to allow the function to access the database by using IAM database authentication. Enforce HTTPS on the connection to Amazon S3 during data transfers.
B. Enable IAM database authentication on the Aurora DB cluster. Change the IAM role for the Lambda function to allow the function to access the database by using IAM database authentication. Deploy a gateway VPC endpoint for Amazon S3 in the VPC.
C. Save the database credentials in AWS Secrets Manager. Set up password rotation on the credentials in Secrets Manager. Change the IAM role for the Lambda function to allow the function to access Secrets Manager. Modify the Lambda function to retrieve the credentials Om Secrets Manager. Enforce HTTPS on the connection to Amazon S3 during data transfers.
D. Save the database credentials in AWS Systems Manager Parameter Store. Set up password rotation on the credentials in Parameter Store. Change the IAM role for the Lambda function to allow the function to access Parameter Store. Modify the Lambda function to retrieve the credentials from Parameter Store. Deploy a gateway VPC endpoint for Amazon S3 in the VPC.

정답：B

설명：
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/UsingWithRDS.IAMDBAuth.html

질문 # 809
An adventure company has launched a new feature on its mobile app. Users can use the feature to upload their hiking and ratting photos and videos anytime. The photos and videos are stored in Amazon S3 Standard storage in an S3 bucket and are served through Amazon CloudFront.
The company needs to optimize the cost of the storage. A solutions architect discovers that most of the uploaded photos and videos are accessed infrequently after 30 days. However, some of the uploaded photos and videos are accessed frequently after 30 days. The solutions architect needs to implement a solution that maintains millisecond retrieval availability of the photos and videos at the lowest possible cost.
Which solution will meet these requirements?

A. Replace Amazon S3 with an Amazon Elastic File System (Amazon EFS) file system that is mounted on Amazon EC2 instances.
B. Add a Cache-Control: max-age header to the S3 image objects and S3 video objects. Set the header to
30 days.
C. Configure S3 Intelligent-Tiering on the S3 bucket.
D. Configure an S3 Lifecycle policy to transition image objects and video objects from S3 Standard to S3 Glacier Deep Archive after 30 days.

정답：C

설명：
Explanation
Amazon S3 Intelligent-Tiering is a storage class that automatically moves objects between two access tiers based on changing access patterns. Objects that are accessed frequently are stored in the frequent access tier and objects that are accessed infrequently are stored in the infrequent access tier. This allows for cost optimization without requiring manual intervention. This makes it an ideal solution for the scenario described, as it can automatically move objects that are infrequently accessed after 30 days to a lower-cost storage tier while still maintaining millisecond retrieval availability.

질문 # 810
A company has an on-premises website application that provides real estate information for potential renters and buyers. The website uses a Java backend and a NOSQL MongoDB database to store subscriber data. The company needs to migrate the entire application to AWS with a similar structure. The application must be deployed for high availability, and the company cannot make changes to the application. Which solution will meet these requirements?

A. Configure Amazon DocumentD3 (with MongoDB compatibility) with appropriately sized instances in multiple Availability Zones as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
B. Configure Amazon DocumentDB (with MongoDB compatibility) in on-demand capacity mode in multiple Availability Zones as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
C. Use an Amazon Aurora DB cluster as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
D. Use MongoDB on Amazon EC2 instances as the database for the subscriber data. Deploy EC2 instances in an Auto Scaling group in a single Availability Zone for the Java backend application.

정답：A

설명：
On-demand capacity mode is the function of Dynamodb.
https://aws.amazon.com/blogs/news/running-spiky-workloads-and-optimizing-costs-by-more- than-90-using-amazon-dynamodb-on-demand-capacity-mode/ Amazon DocumentDB Elastic Clusters
https://aws.amazon.com/blogs/news/announcing-amazon-documentdb-elastic-clusters/ Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application. This will provide high availability and scalability, while allowing the company to retain the same database structure as the original application.

질문 # 811
......

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