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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment | 24% | - Prepare application artifacts for deployment
|
| Topic 2: Development with AWS Services | 32% | - Interact with AWS data services
|
| Topic 3: Troubleshooting and Optimization | 18% | - Troubleshoot application issues
|
| Topic 4: Security | 26% | - Implement authentication and authorization
|
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NEW QUESTION # 694
A developer is deploying a new application to Amazon Elastic Container Service (Amazon ECS). The developer needs to securely store and retrieve different types of variables. These variables include authentication information for a remote API, the URL for the API, and credentials. The authentication information and API URL must be available to all current and future deployed versions of the application across development, testing, and production environments.
How should the developer retrieve the variables with the FEWEST application changes?
Answer: B
Explanation:
AWS Systems Manager Parameter Store is a service that provides secure, hierarchical storage for configuration data management and secrets management. The developer can update the application to retrieve the variables from Parameter Store by using the AWS SDK or the AWS CLI. The developer can use unique paths in Parameter Store for each variable in each environment, such as /dev/api-url, /test/api-url, and /prod/api-url. The developer can also store the credentials in AWS Secrets Manager, which is integrated with Parameter Store and provides additional features such as automatic rotation and encryption.
Reference:
[What Is AWS Systems Manager? - AWS Systems Manager]
[Parameter Store - AWS Systems Manager]
[What Is AWS Secrets Manager? - AWS Secrets Manager]
NEW QUESTION # 695
A developer is creating a new application that will be accessed by users through an API created using Amazon API Gateway. The users need to be authenticated by a third-party Security Assertion Markup Language (SAML) identity provider. Once authenticated, users will need access to other AWS services, such as Amazon S3 and Amazon DynamoDB.
How can these requirements be met?
Answer: A
Explanation:
The requirement has two parts: (1) authenticate users with a third-party SAML IdP, and (2) after authentication, allow those users to access AWS services like Amazon S3 and DynamoDB. The AWS pattern for this is to federate the external identity into AWS and then exchange that identity for temporary AWS credentials.
Amazon Cognito identity pools are designed to provide AWS credentials to authenticated users (via AWS STS) so the users can call AWS services directly or through an application backend. Identity pools support federation with external identity providers, including SAML 2.0. When a user authenticates with the third- party SAML IdP, the identity pool can accept the SAML assertion, map the user to an IAM role, and return temporary, scoped credentials (AccessKeyId/SecretAccessKey/SessionToken) associated with that role.
Those credentials can be restricted using IAM policies to only the required S3 buckets, DynamoDB tables, and actions, satisfying least privilege.
Option A is incorrect because a Cognito user pool is primarily a user directory and OIDC/OAuth provider for application authentication; while user pools can integrate with SAML IdPs for federation, user pools alone do not directly issue AWS service credentials. The key requirement here is access to S3/DynamoDB, which is the role of an identity pool. Option C is not appropriate because IAM is not intended to provide end-user sign- up/sign-in for external users; it is for AWS identities and permissions. Option D is unrelated: CloudFront signed URLs control access to CloudFront-distributed content and do not authenticate users with SAML or provide AWS credentials.
Therefore, B meets both requirements: federate SAML authentication through a Cognito identity pool and provide temporary AWS credentials for accessing S3 and DynamoDB.
NEW QUESTION # 696
A company is using an AWS Lambda function to process records from an Amazon Kinesis data stream. The company recently observed slow processing of the records. A developer notices that the iterator age metric for the function is increasing and that the Lambda run duration is constantly above normal.
Which actions should the developer take to increase the processing speed? (Choose two.)
Answer: B,E
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/lambda-iterator-age/
NEW QUESTION # 697
A company runs an application on AWS The application uses an AWS Lambda function that is configured with an Amazon Simple Queue Service (Amazon SQS) queue called high priority queue as the event source A developer is updating the Lambda function with another SQS queue called low priority queue as the event source The Lambda function must always read up to 10 simultaneous messages from the high priority queue before processing messages from low priority queue. The Lambda function must be limited to 100 simultaneous invocations.
Which solution will meet these requirements'?
Answer: A
Explanation:
* Lambda Concurrency: The 'maximum concurrency' setting in event source mappings controls the maximum number of simultaneous invocations Lambda allows for that specific source.
* Prioritizing Queues: Setting a lower maximum concurrency for the 'high priority queue' ensures it's processed first while allowing more concurrent invocations from the 'low priority queue'.
* Batching: Batch size settings affect the number of messages Lambda retrieves from a queue per invocation, which is less relevant to the prioritization requirement.
References:
Lambda Event Source Mappings: https://docs.aws.amazon.com/lambda/latest/dg/invocation- eventsourcemapping.html Lambda Concurrency: https://docs.aws.amazon.com/lambda/latest/dg/configuration-concurrency.html
NEW QUESTION # 698
A developer needs to deploy an application running on AWS Fargate using Amazon ECS The application has environment variables that must be passed to a container for the application to initialize.
How should the environment variables be passed to the container?
Answer: C
Explanation:
This solution allows the environment variables to be passed to the container when it is launched by AWS Fargate using Amazon ECS. The task definition is a text file that describes one or more containers that form an application. It contains various parameters for configuring the containers, such as CPU and memory requirements, network mode, and environment variables. The environment parameter is an array of key-value pairs that specify environment variables to pass to a container. Defining an array that includes the environment variables under the entryPoint parameter within the task definition will not pass them to the container, but use them as command-line arguments for overriding the default entry point of a container.
Defining an array that includes the environment variables under the environment or entryPoint parameter within the service definition will not pass them to the container, but cause an error because these parameters are not valid for a service definition.
Reference: [Task Definition Parameters], [Environment Variables]
NEW QUESTION # 699
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