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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 18% | - Optimize applications by using AWS services and features
|
| Security | 26% | - Manage sensitive data in application code
|
| Development with AWS Services | 32% | - Develop code for applications hosted on AWS
|
| Deployment | 24% | - Automate deployment testing
|
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NEW QUESTION # 447
A company's application includes an Amazon DynamoDB table for product orders. The table has a primary partition key of orderId and has no sort key. The company is adding a new feature that requires the application to query the table by using the customerId attribute.
Which solution will provide this query functionality?
Answer: A
NEW QUESTION # 448
A company has a serverless application that uses Amazon API Gateway and AWS Lambda functions to expose a RESTful API. The company uses a continuous integration and continuous delivery (CI/CD) workflow to deploy the application to multiple environments. The company wants to implement automated integration tests after deployment.
A developer needs to set up the necessary infrastructure and processes to automate the deployment and integration tests for the serverless application.
Answer: C
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
* Option C: Use AWS CodePipeline for CI/CD Workflow:
* AWS CodePipeline automates the entire CI/CD pipeline, including build, deploy, and test stages.
This minimizes manual effort and integrates well with AWS services.
* API Gateway Stages: Represent different environments, such as dev, test, and prod, allowing isolated deployment and testing.
* AWS CloudFormation Templates: Ensure that the infrastructure for Lambda and API Gateway is consistent across environments.
* AWS CodeBuild for Automated Tests: Validates the deployments in each stage, ensuring integration and functionality are tested post-deployment.
* Why Other Options Are Incorrect:
* Option A and B: While using AWS SAM or CloudFormation for infrastructure management is valid, these options lack the fully automated CI/CD pipeline provided by CodePipeline.
* Option D: Manually invoking Lambda functions using the AWS CLI introduces operational overhead and lacks the automation provided by CodePipeline.
References:
* AWS CodePipeline Documentation
* API Gateway Stages for CI/CD
NEW QUESTION # 449
A developer has created an AWS Lambda function that makes queries to an Amazon Aurora MySQL DB instance. When the developer performs a test the OB instance shows an error for too many connections.
Which solution will meet these requirements with the LEAST operational effort?
Answer: C
Explanation:
Explanation
This solution will meet the requirements by using Amazon RDS Proxy, which is a fully managed, highly available database proxy for Amazon RDS that makes applications more scalable, more resilient to database failures, and more secure. The developer can create a proxy in Amazon RDS Proxy, which sits between the application and the DB instance and handles connection management, pooling, and routing. The developer can query the proxy instead of the DB instance, which reduces the number of open connections to the DB instance and avoids errors for too many connections. Option A is not optimal because it will create a read replica for the DB instance, which may not solve the problem of too many connections as read replicas also have connection limits and may incur additional costs. Option B is not optimal because it will migrate the data to an Amazon DynamoDB database, which may introduce additional complexity and overhead for migrating and accessing data from a different database service. Option C is not optimal because it will configure the Amazon Aurora MySQL DB instance for Multi-AZ deployment, which may improve availability and durability of the DB instance but not reduce the number of connections.
References: [Amazon RDS Proxy], [Working with Amazon RDS Proxy]
NEW QUESTION # 450
A company is using Amazon RDS as the Backend database for its application. After a recent marketing campaign, a surge of read requests to the database increased the latency of data retrieval from the database.
The company has decided to implement a caching layer in front of the database. The cached content must be encrypted and must be highly available.
Which solution will meet these requirements?
Answer: D
Explanation:
This solution meets the requirements because it provides a caching layer that can store and retrieve encrypted data from multiple nodes. Amazon ElastiCache for Redis supports encryption at rest and in transit, and can scale horizontally to increase the cache capacity and availability. Amazon ElastiCache for Memcached does not support encryption, Amazon CloudFront is a content delivery network that is not suitable for caching database queries, and Amazon DynamoDB Accelerator (DAX) is a caching service that only works with DynamoDB tables.
Reference: [Amazon ElastiCache for Redis Features], [Choosing a Cluster Engine]
NEW QUESTION # 451
A developer wants to use an AWS AppSync API to invoke AWS Lambda functions to return data. Some of the Lambda functions perform long-running processes. The AWS AppSync API needs to return responses immediately.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
Step-by-Step Breakdown:
Requirement Summary:
AWS AppSync API needs to invoke Lambda functions
Some Lambda functions are long-running
AppSync should return immediately, minimizing operational overhead
**Option A: AppSync + Lambda as data source using Event Mode
Correct: AWS AppSync supports asynchronous (event) invocation of Lambda data sources using Event Mode.
Event Mode means:
AppSync invokes Lambda asynchronously
Immediately returns a response to the client (typically a predefined payload or null) Ideal for fire-and-forget workloads or when the response is not immediately needed Option B: Increase Lambda timeout Incorrect: This keeps AppSync waiting.
Even with increased timeout, synchronous invocations would block AppSync responses.
Option C: SQS queue + polling Lambda
Possible but too complex for this use case.
Requires additional infrastructure: queue + mapping + custom logic.
Higher operational overhead compared to built-in AppSync Event Mode.
Option D: Enable caching in AppSync
Irrelevant: AppSync cache is for optimizing repeated read queries, not for async workflows.
Asynchronous Lambda with AppSync: https://docs.aws.amazon.com/appsync/latest/devguide/resolver- mapping-template-reference-lambda.html#async-lambda-invocation Lambda as AppSync Data Source: https://docs.aws.amazon.com/appsync/latest/devguide/tutorial-lambda- resolvers.html Event Mode Docs: https://docs.aws.amazon.com/appsync/latest/devguide/lambda-resolvers.html#event- invocation-mode
NEW QUESTION # 452
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