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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting and Optimization | 18% | - Assist in a root cause analysis
|
| Development with AWS Services | 32% | - Use data stores in application development
|
| Security | 26% | - Implement authentication and/or authorization for applications and AWS services
|
| Deployment | 24% | - Automate deployment testing
|
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NEW QUESTION # 150
For a deployment using AWS Code Deploy, what is the run order of the hooks for in-place deployments?
Answer: D
Explanation:
Explanation
For in-place deployments, AWS CodeDeploy uses a set of predefined hooks that run in a specific order during each deployment lifecycle event. The hooks are ApplicationStop, BeforeInstall, AfterInstall, ApplicationStart, and ValidateService. The run order of the hooks for in-place deployments is as follows:
* ApplicationStop: This hook runs first on all instances and stops the current application that is running on the instances.
* BeforeInstall: This hook runs after ApplicationStop on all instances and performs any tasks required before installing the new application revision.
* AfterInstall: This hook runs after BeforeInstall on all instances and performs any tasks required after
* installing the new application revision.
* ApplicationStart: This hook runs after AfterInstall on all instances and starts the new application that has been installed on the instances.
* ValidateService: This hook runs last on all instances and verifies that the new application is running properly on the instances.
NEW QUESTION # 151
A company is developing a web application that allows its employees to upload a profile picture to a private Amazon S3 bucket. There is no size limit for the profile pictures, which should be displayed every time an employee logs in. For security reasons, the pictures cannot be publicly accessible.
What is a viable long-term solution for this scenario?
Answer: A
Explanation:
The requirement is to keep profile pictures private in S3 while allowing the browser to display them each time an employee logs in. The standard AWS pattern is to store objects in a private bucket and provide time- limited access through S3 presigned URLs. A presigned URL grants temporary permission to perform a specific operation (such as GET) on a specific object, and it expires automatically after a configured duration.
This prevents public access while still allowing simple browser retrieval.
Option D is the viable long-term solution because it stores only the S3 object key (a stable identifier) in DynamoDB and generates a fresh presigned URL at login time. This is important because presigned URLs expire; storing a presigned URL (option A) would eventually store an expired URL and force extra complexity to refresh records. Generating a new presigned URL when needed ensures the link is always valid and keeps the expiration window tight, which improves security.
Option B is not appropriate for employee browsers in general: a VPC endpoint is for traffic from resources inside a VPC (EC2, Lambda in VPC, etc.). Employee browsers on the public internet cannot use a private VPC endpoint to reach S3. Option C is not viable for "no size limit" images: DynamoDB has strict item size limits, base64 inflates data size, and storing large binary blobs in DynamoDB is inefficient and expensive compared to S3.
Therefore, D best meets the requirement: keep images private in S3, store the S3 key in DynamoDB, and generate a presigned URL on each login to provide secure, temporary access for display.
NEW QUESTION # 152
A company has an application that consists of different microservices that run inside an AWS account. The microservices are running in containers inside a single VPC. The number of microservices is constantly increasing. A developer must create a central logging solution for application logs.
Answer: C
Explanation:
To create a central logging solution for microservices, using Amazon CloudWatch Logs is a recommended and effective approach. Here's why:
* Amazon CloudWatch Logs Streams allow you to centralize logs from different services, which is crucial as the number of microservices increases.
* Each microservice can have its own dedicated log stream within Amazon CloudWatch Logs, providing clear segregation of logs while still allowing centralized management.
* This setup enables developers to monitor, search, and analyze logs efficiently using tools like CloudWatch Insights.
* Other options like CloudTrail (B) are designed for API activity monitoring, not application logs. VPC Flow Logs (C) focus on network traffic rather than application behavior. AWS Cloud Map (D) is for service discovery and routing, not logging.
Reference:AWS CloudWatch Logs documentation
NEW QUESTION # 153
A developer must analyze performance issues with production-distributed applications written as AWS Lambda functions. These distributed Lambda applications invoke other components that make up me applications. How should the developer identify and troubleshoot the root cause of the performance issues in production?
Answer: D
Explanation:
This solution will meet the requirements by using AWS X-Ray to analyze and debug the performance issues with the distributed Lambda applications. AWS X-Ray is a service that collects data about requests that the applications serve, and provides tools to view, filter, and gain insights into that data. The developer can use AWS X-Ray to identify the root cause of the performance issues by examining the segments and errors that show the details of each request and the components that make up the applications. Option A is not optimal because it will use logging statements and Amazon CloudWatch, which may not provide enough information or visibility into the distributed applications. Option B is not optimal because it will use AWS CloudTrail, which is a service that records API calls and events for AWS services, not application performance data. Option D is not optimal because it will use Amazon Inspector, which is a service that helps improve the security and compliance of applications on Amazon EC2 instances, not Lambda functions.
NEW QUESTION # 154
A developer is designing a fault-tolerant environment where client sessions will be saved.
How can the developer ensure that no sessions are lost if an Amazon EC2 instance fails?
Answer: C
NEW QUESTION # 155
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