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| Topic | Details |
|---|
| Topic 1 | - Deployment: AWS developers learn to prepare application artifacts for deployment, conduct rigorous testing in development environments, and automate deployment testing workflows. This topic also introduces the use of AWS CI
- CD services for efficient code deployment. The knowledge ensures effective application lifecycle management in production environments.
|
| Topic 2 | - Troubleshooting and Optimization:This topic prepares AWS developers to assist in root cause analysis, integrate observability into their code with instrumentation, and optimize applications using AWS services and features. Mastery of these skills ensures developers can maintain and enhance application performance and reliability efficiently.
|
| Topic 3 | - Development with AWS Services: In this topic, AWS developers gain expertise in writing and managing code for applications hosted on AWS, including leveraging AWS Lambda for serverless architectures. The focus also includes using data stores effectively in application development. The topic sharpens skills in cloud-native application development, aligning with the requirements of scalable, efficient systems.
|
| Topic 4 | - Security: This topic empowers AWS developers to implement robust authentication and authorization mechanisms for applications and AWS services. It also highlights best practices in applying encryption using AWS tools and securely managing sensitive data within application code. Developers enhance their ability to create secure, compliant applications in the AWS ecosystem.
|
Amazon AWS Certified Developer - Associate Sample Questions (Q213-Q218):
NEW QUESTION # 213
A company needs a new REST API that can return information about the contents of an Amazon S3 bucket, such as a count of the objects stored in it. The company has decided that the new API should be written as a microservice using AWS Lambda and Amazon API Gateway. How should the developer ensure that the microservice has the necessary access to the Amazon S3 bucket, while adhering to security best practices?
- A. Create an IAM user that has permissions to access the Amazon S3 bucket, and store the IAM user credentials in the Lambda function source code.
- B. Create an IAM role, attach the AmazonS3FullAccess managed policy to it, and assign the role to the Lambda function as its execution role.
- C. Create an Amazon S3 bucket policy that specifies the Lambda service as its principal and assign it to the Amazon S3 bucket.
- D. Create an IAM role that has permissions to access the Amazon S3 bucket and assign it to the Lambda function as its execution role.
Answer: D
Explanation:
A Lambda function should access AWS services through an IAM execution role with only the permissions required for the task. Granting the role access to the specific S3 bucket allows the microservice to read bucket contents securely without hardcoded credentials or overly broad permissions.
NEW QUESTION # 214
A developer supports an application that accesses data in an Amazon DynamoDB table. One of the item attributes is expirationDate in the timestamp format. The application uses this attribute to find items, archive them, and remove them from the table based on the timestamp value The application will be decommissioned soon, and the developer must find another way to implement this functionality. The developer needs a solution that will require the least amount of code to write.
Which solution will meet these requirements?
- A. Enable TTL on the expirationDate attribute in the table Specify an Amazon Simple Queue Service (Amazon SQS> dead-letter queue as the target to delete the items Create an AWS Lambda function to process the items
- B. Create two AWS Lambda functions one to delete the items and one to process the items Create a DynamoDB stream Use the Deleteltem API operation to delete the items based on the expirationDate attribute Use the GetRecords API operation to get the items from the DynamoDB stream and process them
- C. Create two AWS Lambda functions, one to delete the items and one to process the items. Create an Amazon EventBndge scheduled rule to invoke the Lambda Functions Use the Deleteltem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB table and process them.
- D. Enable TTL on the expirationDate attribute in the table. Create a DynamoDB stream. Create an AWS Lambda function to process the deleted items. Create a DynamoDB trigger for the Lambda function.
Answer: D
Explanation:
TTL for Automatic Deletion: DynamoDB's Time-to-Live effortlessly deletes expired items without manual intervention.
DynamoDB Stream: Captures changes to the table, including deletions of expired items, triggering downstream actions.
Lambda for Processing: A Lambda function connected to the stream provides custom logic for handling the deleted items.
Code Efficiency: This solution leverages native DynamoDB features and stream-based processing, minimizing the need for custom code.
Reference:
DynamoDB TTL Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html DynamoDB Streams Documentation: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html
NEW QUESTION # 215
A developer is writing unit tests tor a new application that will be deployed on AWS. The developer wants to validate all pull requests with unit tests and merge the code with the main branch only when all tests pass The developer stores the code in AWS CodeCommit and sets up AWS CodeBuild to run the unit tests. The developer creates an AWS Lambda function to start the CodeBuild task. The developer needs to identify the CodeCommit events in an Amazon EventBridge event that can invoke the Lambda function when a pull request is created or updated.
Which CodeCommit event will meet these requirements?

- A. Option D
- B. Option C
- C. Option A
- D. Option B
Answer: B
Explanation:
https://aws.amazon.com/blogs/devops/automated-code-review-on-pull-requests-using-aws-codecommit-and- aws-codebuild/
NEW QUESTION # 216
A developer migrated a legacy application to an AWS Lambda function. The function uses a third-party service to pull data with a series of API calls at the end of each month. The function than processes the data to generate the monthly reports. The function has Been working with no issues so far.
The third-party service recently issued a restriction to allow a feed number to API calls each minute and each day. If the API calls exceed the limit tor each minute or each day, then the service will produce errors. The API also provides the minute limit and daily limit in the response header. This restriction might extend the overall process to multiple days because the process is consuming more API calls than the available limit.
What is the MOST operationally efficient way to refactor the server less application to accommodate this change?
- A. Use an Amazon CloudWatch Logs metric to count the number of API calls. Configure an Amazon CloudWatch alarm flat slops the currently running instance of the Lambda function when the metric exceeds the API threshold limits.
- B. Use an AWS Step Functions State machine to monitor API failures. Use the Wait state to delay calling the Lambda function.
- C. Use Amazon Kinesis Data Firehose to batch me API calls and deliver them to an Amazon S3 bucket win an event notification to invoke the Lambda function.
- D. Use an Amazon Simple Queue Service (Amazon SQS) queue to hold the API calls. Configure the Lambda function to poll the queue within the API threshold limits.
Answer: B
Explanation:
The solution that will meet the requirements is to use an AWS Step Functions state machine to monitor API failures. Use the Wait state to delay calling the Lambda function. This way, the developer can refactor the serverless application to accommodate the change in a way that is automated and scalable. The developer can use Step Functions to orchestrate the Lambda function and handle any errors or retries. The developer can also use the Wait state to pause the execution for a specified duration or until a specified timestamp, which can help avoid exceeding the API limits. The other options either involve using additional services that are not necessary or appropriate for this scenario, or do not address the issue of API failures.
Reference: AWS Step Functions Wait state
NEW QUESTION # 217
A developer has written an AWS Lambda function. The function is CPU-bound. The developer wants to ensure that the function returns responses quickly. How can the developer improve the function's performance?
- A. Increase the function's memory.
- B. Increase the function's timeout.
- C. Increase the function's CPU core count.
- D. Increase the function's reserved concurrency.
Answer: A
Explanation:
Adding more memory proportionally increases the amount of CPU, increasing the overall computational power available. If a function is CPU-, network- or memory-bound, then changing the memory setting can dramatically improve its performance.
https://docs.aws.amazon.com/lambda/latest/operatorguide/computing-power.html
https://docs.aws.amazon.com/lambda/latest/dg/configuration-function-
common.html#configuration-memory-console
NEW QUESTION # 218
......
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