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Amazon SAP-C02 (AWS Certified Solutions Architect - Professional) Certification Exam is designed for IT professionals who are seeking to validate their skills and knowledge in designing and deploying highly available, cost-effective, fault-tolerant, and scalable systems on Amazon Web Services (AWS) cloud platform. It is an advanced-level exam that builds upon the foundational knowledge and skills tested in the AWS Certified Solutions Architect - Associate certification exam. The SAP-C02 Exam validates the candidate's ability to design, deploy, and manage complex AWS architectures and solutions that meet business requirements.
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NEW QUESTION # 342
A company wants to migrate its on-premises data center to the AWS Cloud. This includes thousands of virtualized Linux and Microsoft Windows servers SAN storage, Java and PHP applications with MySQL, and Oracle databases. There are many dependent services hosted either in the same data center or externally. The technical documentation is incomplete and outdated A solutions architect needs to understand the current environment and estimate the cloud resource costs after the migration Which tools or services should the solutions architect use to plan the cloud migration? (Select THREE.)
Answer: B,C,D
NEW QUESTION # 343
A company uses an AWS CloudFormation template to deploy an Amazon ECS service into a production environment. The template includes an Amazon S3 bucket that is named by using a common prefix with the CloudFormation stack name.
The company uses the same template to create temporary environments for development and continuous integration. Developers can create environments successfully, but they receive errors from CloudFormation when they attempt to delete the environments. The developers often need to delete and recreate stacks with the same names as part of the development and testing process.
Which combination of steps should a solutions architect take to modify the solution to resolve this issue?
(Select TWO.)
Answer: A,E
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
CloudFormation cannot delete an S3 bucket that contains objects. When the developers attempt to delete temporary stacks, the delete operation fails if the associated S3 bucket still has objects. Because the bucket name is derived from the stack name, failed deletions can also prevent re-creation of stacks with the same names until the bucket is manually emptied and deleted. This causes friction for development and continuous integration workflows.
To resolve this, the solution must ensure that, during stack deletion, all objects are removed from the S3 bucket so that CloudFormation can delete the bucket successfully. CloudFormation does not natively support automatic deletion of bucket contents. However, CloudFormation custom resources can be used to perform custom actions during stack lifecycle events.
Option A proposes associating a Lambda function with a CloudFormation custom resource. The custom resource can be invoked during stack deletion to list and delete all objects (and object versions if versioning is enabled) in the specified bucket. Once the bucket is emptied by the Lambda function, the standard CloudFormation deletion process can successfully delete the bucket resource.
In addition to emptying the bucket, the IAM role used by CloudFormation must have permissions to delete objects in the bucket. If CloudFormation uses an execution role that lacks s3:DeleteObject (and potentially s3:
ListBucket) permissions, the bucket-cleanup Lambda function or CloudFormation itself would not be able to remove objects. Option D ensures that CloudFormation operations are invoked by a role that has s3:
DeleteObject permissions on bucket objects, enabling the custom resource to perform the deletions.
Option B is incorrect because, although DeletionPolicy can be set to Delete, there is no such capability as CAPABILITY_DELETE_NONEMPTY in CloudFormation, and DeletionPolicy alone does not override the S3 service requirement that buckets must be empty before deletion.
Option C's Retain DeletionPolicy leaves the bucket behind when the stack is deleted. While an external AWS Config rule could clean up stale buckets, it complicates the design and does not directly solve the problem of re-creating stacks with the same bucket name in a predictable, immediate way.
Option E configures a bucket policy to grant s3:DeleteObject permissions, but this is not sufficient alone.
CloudFormation still must assume a role with the appropriate permissions. Bucket policy and IAM role permissions must both be considered, but the key action to resolve the deletion failure is to explicitly empty the bucket through a custom resource, as in option A, and ensure the execution role has delete permissions, as in option D.
Therefore, implementing a Lambda-backed custom resource to empty the S3 bucket during stack deletion (option A) and ensuring the CloudFormation execution role has s3:DeleteObject permissions (option D) resolves the deletion errors and allows developers to delete and recreate stacks freely.
References:AWS documentation on CloudFormation behavior with S3 bucket deletion and the requirement that buckets must be empty before deletion.AWS documentation on CloudFormation custom resources and Lambda-backed custom resources for performing custom actions during stack operations.
NEW QUESTION # 344
A company wants to modernize a monolithic application in the company's data center and deploy the application on AWS. The monolithic application consists of an event broker in a central account and multiple microservices in individual AWS accounts. The event broker and the microservices are deployed on Amazon ECS clusters that use the Fargate launch type.
Multiple microservices need access to the same events from the event broker. The company wants to distribute events from the central event broker to each microservice across accounts.
Which solution will meet these requirements?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
This explanation is based on AWS documentation and best practices but is paraphrased, not a literal extract.
The scenario describes a central event broker and multiple microservices running in separate AWS accounts that all need to consume the same events. The requirement is to distribute events from a central location to many microservices across accounts in a scalable and loosely coupled way, as part of modernizing to a microservices architecture.
Amazon EventBridge is a serverless event bus service designed for event-driven architectures. It supports centralized event buses, rich content-based filtering with rules, and cross-account event routing. With EventBridge, you can create an event bus in a central account and define rules that match specific event patterns (for example, by microservice or event type). Each rule can have one or more targets, including event buses in other AWS accounts. This supports the pattern of having a central event bus in one account and distributing relevant events to other accounts, where each microservice consumes events either directly from its own event bus or through additional rules and targets in its own account.
In this solution, you create a new EventBridge event bus in the central account and grant the appropriate permissions for cross-account access (option B). You then define EventBridge rules on the central event bus, filtered per microservice or per event category, and configure the rules to send events to the respective event buses or targets in the microservices' accounts. EventBridge handles the fan-out and delivery of events across accounts in a managed, scalable way, which aligns with the modernization goal and reduces the operational overhead of managing custom routing or polling logic.
Option A uses an SNS topic with SQS queues in each account. This is a valid fan-out pattern and supports cross-account subscriptions, but it is more suited to traditional pub/sub messaging and does not provide the event routing, filtering, and observability features that EventBridge offers for modern event-driven microservices. In scenarios that explicitly mention an event broker and modernization, EventBridge is the recommended service.
Option C is incorrect because Kinesis Data Streams is designed for high-throughput streaming data and requires building and managing consumer applications. The description in the option is also technically inaccurate; Kinesis does not "invoke" microservices directly as event targets in the same way as EventBridge or SNS does. Instead, applications must read from the stream.
Option D uses a single central SQS queue that all microservices read from. SQS provides at-least-once delivery to competing consumers, which means multiple consumers reading from the same queue will typically share messages rather than each getting all messages. This does not satisfy the requirement for multiple microservices to each receive the same events independently. It also reduces decoupling and observability compared to an event bus model.
Therefore, creating an Amazon EventBridge event bus in the central account with rules to distribute events across accounts (option B) best meets the requirements for distributing events from a central broker to multiple microservices across accounts in a modernized architecture.
References:AWS documentation on Amazon EventBridge event buses, cross-account event routing, and rule- based filtering and targeting.AWS guidance for event-driven microservices architectures and centralized event broker patterns.
NEW QUESTION # 345
Question:
A company needs to migratesome Oracle databases to AWSwhile keeping otherson-premisesfor compliance.
The on-prem databases containspatial dataand runcron jobs. The solution must allowquerying on-prem data as foreign tablesfrom AWS.
Answer: C
Explanation:
D is correct becauseRDS for PostgreSQLsupportsforeign data wrappers (FDW)that allow querying remote Oracle databases. WithAWS Schema Conversion Tool (SCT)andDatabase Migration Service (DMS), schema and data can be migrated effectively.AWS Direct Connectensures secure, private connectivity to on-prem databases. Cron jobs can be run via EventBridge or external orchestration.
* A doesn't support relational/spatial querying.
* B doesn't support FDW or spatial types.
* C introduces unnecessary complexity.
Reference:https://www.postgresql.org/docs/current/postgres-fdw.htmlhttps://docs.aws.amazon.com/dms/latest
/userguide/CHAP_Target.PostgreSQL.html
NEW QUESTION # 346
An application is using an Amazon RDS for MySQL Multi-AZ DB instance in the us-east-1 Region. After a failover test, the application lost the connections to the database and could not re-establish the connections. After a restart of the application, the application re-established the connections.
A solutions architect must implement a solution so that the application can re-establish connections to the database without requiring a restart.
Which solution will meet these requirements?
Answer: D
Explanation:
Creating an RDS Proxy and configuring the existing RDS endpoint as a target, and then updating the connection settings in the application to point to the RDS proxy endpoint will meet the requirement of the application being able to re-establish connections to the database without requiring a restart.
Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon RDS that makes applications more scalable, more resilient to database failures, and more secure. With RDS Proxy, applications can pool and share connections to RDS databases, reducing the number of connections each RDS instance needs to handle. This can improve the performance and scalability of the application.
In the event of a failover or interruption, RDS Proxy automatically redirects connections to the new primary instance, so the application can continue to function without interruption. RDS Proxy also provides connection pooling, which reduces the number of connections to the primary RDS instance, so the primary instance can handle more traffic.
Here is an example of how to set up an RDS proxy and configure it to work with an existing RDS instance: 1.Create an RDS proxy in the AWS Management Console, and configure it to use the existing RDS instance as a target.
Update the connection settings in the application to use the RDS proxy endpoint instead of the RDS instance endpoint.
Reference:
https://aws.amazon.com/rds/proxy/
https://aws.amazon.com/blogs/database/using-amazon-rds-proxy-with-amazon-rds-for-mysql-and-amazon-aurora-mysql-to-improve-app-scalability-and-availability/
NEW QUESTION # 347
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