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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment | 24% | - Prepare application artifacts to be deployed to AWS
|
| Topic 2: Security | 26% | - Implement encryption by using AWS services
|
| Topic 3: Development with AWS Services | 32% | - Use data stores in application development
|
| Topic 4: Troubleshooting and Optimization | 18% | - Optimize applications by using AWS services and features
|
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NEW QUESTION # 695
A company's application has an AWS Lambda function that processes messages from IoT devices. The company wants to monitor the Lambda function to ensure that the Lambda function is meeting its required service level agreement (SLA).
A developer must implement a solution to determine the application's throughput in near real time. The throughput must be based on the number of messages that the Lambda function receives and processes in a given time period. The Lambda function performs initialization and post-processing steps that must not factor into the throughput measurement.
What should the developer do to meet these requirements?
Answer: C
Explanation:
Use the metrics to calculate the throughput. This is because custom metrics can provide a more accurate measure of throughput, as they can be configured to only increment when a message is received and processed by the Lambda function. This would exclude the time spent on initialization and post-processing, which are not part of the throughput measurement.
NEW QUESTION # 696
A company has implemented AWS CodeDeploy as part of its continuous integration and continuous delivery (CI/CD) stack in the cloud. The company sets up automatic rollbacks while initiating an in-place deployment of a new version of its web application on Amazon EC2 instances. Which result occurs if the deployment of the new version fails validation?
Answer: B
Explanation:
The correct answer is C because for an in-place deployment on Amazon EC2 instances, AWS CodeDeploy automatic rollback works by redeploying the last known good revision when a deployment fails or when a configured monitoring alarm is triggered. AWS documentation explains that when automatic rollback is enabled, CodeDeploy creates a new deployment that uses the most recent successfully deployed application revision. This rollback deployment receives its own new deployment ID , because it is treated as a separate deployment event rather than a simple undo operation.
Option A is incorrect because CodeDeploy does not restore an Amazon S3 snapshot of the previous deployment state for EC2 in-place deployments. It redeploys the last successful revision instead. Option B describes behavior associated with blue/green deployment patterns , not in-place deployments . Route 53 alias switching and blue/green environment replacement are not how CodeDeploy handles failed validation during an EC2 in-place deployment. Option D is incorrect because CodePipeline orchestrates stages in a delivery pipeline, but it is not the service that performs the rollback behavior described here.
This distinction is important in AWS deployment design. In-place deployments update the same EC2 instances already serving the application. If validation fails, CodeDeploy does not roll traffic back through DNS or infrastructure replacement. Instead, it launches a rollback deployment of the previously successful application revision across those same instances. That behavior directly aligns with AWS CodeDeploy automatic rollback functionality for EC2/On-Premises in-place deployments.
Therefore, the correct result is that CodeDeploy redeploys the last known stable version as a new deployment , which makes C the right answer.
NEW QUESTION # 697
An application is processing clickstream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below:
Which techniques will help mitigate this exception? (Choose two.)
Answer: D,E
Explanation:
The response from the API call indicates that the ProvisionedThroughputExceededException exception has occurred. This exception means that the rate of incoming requests exceeds the throughput limit for one or more shards in a stream. To mitigate this exception, the developer can use one or more of the following techniques:
Implement retries with exponential backoff. This will introduce randomness in the retry intervals and avoid overwhelming the shards with retries.
Reduce the frequency and/or size of the requests. This will reduce the load on the shards and avoid throttling errors.
Increase the number of shards in the stream. This will increase the throughput capacity of the stream and accommodate higher request rates.
Use a PutRecord API instead of PutRecords. This will reduce the number of records per request and avoid exceeding the payload limit.
Reference:
[ProvisionedThroughputExceededException - Amazon Kinesis Data Streams Service API Reference]
[Best Practices for Handling Kinesis Data Streams Errors]
NEW QUESTION # 698
A developer is managing an application that uploads user files to an Amazon S3 bucket named companybucket. The company wants to maintain copies of all the files uploaded by users for compliance purposes, while ensuring users still have access to the data through the application.
Which IAM permissions should be applied to users to ensure they can create but not remove files from the bucket?
Answer: C
Explanation:
To meet the requirement:
Users must be able to upload (PutObject) and read (GetObject) files but not delete them.
Option D ensures users cannot delete files by omitting the s3:DeleteObject action while allowing s3:GetObject and s3:PutObject.
Option A: Includes s3:DeleteObject, which allows users to delete files and does not meet the requirement.
Option B: Contains unrelated actions like CreateBucket, which is not relevant here.
Option C: Adds s3:PutObjectRetention, which is unnecessary and does not restrict DeleteObject.
Reference:
AWS S3 Permissions Documentation
Reference:
AWS S3 Permissions Documentation
NEW QUESTION # 699
A developer is creating an AWS Lambda function. The Lambda function needs an external library to connect to a third-party solution The external library is a collection of files with a total size of 100 MB The developer needs to make the external library available to the Lambda execution environment and reduce the Lambda package space Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
Explanation
Create a Lambda layer to store the external library. Configure the Lambda function to use the layer. This will allow the developer to make the external library available to the Lambda execution environment without having to include it in the Lambda package, which will reduce the Lambda package space. Using a Lambda layer is a simple and straightforward solution that requires minimal operational overhead.
https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html
NEW QUESTION # 700
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