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| Section | Weight | Objectives |
|---|
| Deployment | 24% | - Deploy applications on AWS
- 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
- 2. Perform safe updates and rollbacks
- Implement CI/CD pipelines
- 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
- 2. Automate deployment and testing workflows
- Prepare application artifacts for deployment
- 1. Use infrastructure as code (AWS CloudFormation, AWS SAM)
- 2. Package code and dependencies
|
| Troubleshooting and Optimization | 18% | - Debug and resolve errors
- 1. Identify and fix code defects
- 2. Resolve integration and configuration problems
- Optimize application performance
- 1. Improve latency and throughput
- 2. Optimize resource usage and costs
- Troubleshoot application issues
- 1. Use Amazon CloudWatch, AWS X-Ray for monitoring
- 2. Analyze logs, metrics, and traces
|
| Development with AWS Services | 32% | - Integrate AWS services into applications
- 1. Implement messaging and event-driven workflows
- 2. Use AWS Lambda, API Gateway, Amazon EventBridge
- Interact with AWS data services
- 1. Work with Amazon DynamoDB, Amazon S3
- 2. Implement caching and data storage strategies
- Write code for applications hosted on AWS
- 1. Implement architectural patterns
- 2. Develop serverless applications
- 3. Use AWS SDKs and APIs
|
| Security | 26% | - Implement authentication and authorization
- 1. Manage IAM roles, policies, and permissions
- 2. Use Amazon Cognito for identity management
- Apply security best practices
- 1. Validate application security configurations
- 2. Follow AWS Well-Architected Framework security principles
- Secure application data
- 1. Manage secrets and credentials securely
- 2. Implement encryption at rest and in transit
|
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Amazon AWS Certified Developer - Associate Sample Questions (Q522-Q527):
NEW QUESTION # 522
A company runs a highly available application in multiple AWS Regions. The application requires access to a secret value that is stored in AWS Secrets Manager. The secret value must be available in all Regions where the application operates. The secret value must remain consistent across the Regions.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Configure an AWS Lambda function to copy the secret to each Region. Configure Amazon EventBridge to trigger the Lambda function to update the copies of the secret when the primary secret is updated.
- B. Enable replication for the secret in the primary Region. Ensure that the application can access the appropriate secret ARN in each Region where the secret is replicated.
- C. Create a new secret in each Region. Ensure that the application can access the appropriate secret ARN in each Region where the secret is replicated.
- D. Configure the application in all Regions to retrieve the secret value directly from the primary Region by using the secret's ARN. Configure the application to cache the secret value locally.
Answer: B
Explanation:
The requirement is for a single secret value to be available in multiple AWS Regions while remaining consistent across those Regions, with the least operational overhead. AWS Secrets Manager provides a managed capability for this use case: secret replication (also referred to as multi-Region secrets). When replication is enabled from a primary Region, Secrets Manager automatically creates and maintains synchronized replicas of the secret in the selected secondary Regions. Updates to the primary secret are propagated to the replicas so the secret value remains consistent across Regions.
This approach (option C) minimizes operational effort because AWS manages the replication workflow, consistency, and the lifecycle of replicas. The application in each Region can retrieve the secret from the local Region endpoint of Secrets Manager by referencing the Region-appropriate secret ARN, improving latency and reducing cross-Region dependency. It also improves resilience: if a Region has issues, workloads in another Region can still read the replicated secret locally.
Option A recreates managed replication with custom glue (Lambda + EventBridge), which adds code, scheduling, error handling, permissions, retries, and monitoring-higher operational overhead and more failure modes. Option B introduces a cross-Region runtime dependency on the primary Region and increases latency; local caching also risks stale secret values during rotations/updates unless carefully managed, and it reduces resilience if the primary Region is impaired. Option D (independent secrets per Region) increases operational overhead and directly risks inconsistency, because keeping values synchronized becomes a manual or custom automated process.
Therefore, C is the best solution: enable Secrets Manager replication in the primary Region and have applications in each Region read from their local replicated secret ARN to achieve consistent, multi-Region availability with minimal operational work.
NEW QUESTION # 523
An application uses an Amazon EC2 Auto Scaling group. A developer notices that EC2 instances are taking a long time to become available during scale-out events. The UserData script is taking a long time to run.
The developer must implement a solution to decrease the time that elapses before an EC2 instance becomes available. The solution must make the most recent version of the application available at all times and must apply all available security updates. The solution also must minimize the number of images that are created. The images must be validated.
Which combination of steps should the developer take to meet these requirements? (Choose two.)
- A. Use EC2 Image Builder to create an Amazon Machine Image (AMI). Install the latest version of the application and all the patches and agents that are needed to manage and run the application. Update the Auto Scaling group launch configuration to use the AMI.
- B. Remove any commands that perform operating system patching from the UserData script.
- C. Set up AWS CodePipeline to deploy the most recent version of the application at runtime.
- D. Set up AWS CodeDeploy to deploy the most recent version of the application at runtime.
- E. Use EC2 Image Builder to create an Amazon Machine Image (AMI). Install all the patches and agents that are needed to manage and run the application. Update the Auto Scaling group launch configuration to use the AMI.
Answer: D,E
Explanation:
https://docs.aws.amazon.com/codedeploy/latest/userguide/integrations-aws-auto-scaling.html
NEW QUESTION # 524
A company has a large amount of data in an Amazon DynamoDB table. A large batch of data is appended to the table once each day. The company wants a solution that will make all the existing and future data in DynamoDB available for analytics on a long-term basis. Which solution meets these requirements with the LEAST operational overhead?
- A. Configure Amazon EMR to copy DynamoDB data to Hadoop Distributed File System (HDFS).
- B. Configure Amazon DynamoDB Streams to write records to Amazon S3.
- C. Configure DynamoDB incremental exports to Amazon S3.
- D. Configure Amazon EMR to copy DynamoDB data to Amazon S3.
Answer: C
Explanation:
DynamoDB supports incremental exports to Amazon S3 natively, making data analytics-ready with minimal operational overhead.
NEW QUESTION # 525
A developer is creating an Amazon DynamoDB table by using the AWS CLI The DynamoDB table must use server-side encryption with an AWS owned encryption key How should the developer create the DynamoDB table to meet these requirements?
- A. Create an AWS Key Management Service (AWS KMS) customer managed key. Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyld parameter during creation of the DynamoDB table
- B. Create the DynamoDB table with the default encryption options
- C. Create an AWS Key Management Service (AWS KMS) AWS managed key Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyld parameter during creation of the DynamoDB table
- D. Create an AWS owned key Provide the key's Amazon Resource Name (ARN) in the KMSMasterKeyld parameter during creation of the DynamoDB table.
Answer: B
Explanation:
Explanation
When creating an Amazon DynamoDB table using the AWS CLI, server-side encryption with an AWS owned encryption key is enabled by default. Therefore, the developer does not need to create an AWS KMS key or specify the KMSMasterKeyId parameter. Option A and B are incorrect because they suggest creating customer-managed and AWS-managed KMS keys, which are not needed in this scenario. Option C is also incorrect because AWS owned keys are automatically used for server-side encryption by default.
NEW QUESTION # 526
A developer needs to use Amazon DynamoDB to store customer orders. The developer's company requires all customer data to be encrypted at rest with a key that the company generates.
What should the developer do to meet these requirements?
- A. Store the key by using AW5 KMS. Choose an AVVS KMS customer managed key during creation of the DynamoDB table. Provide the Amazon Resource Name (ARN) of the AWS KMS key.
- B. Create the DynamoDB table with encryption set to None. Code the application to use the key to decrypt the data when the application reads from the table. Code the application to use the key to encrypt the data when the application writes to the table.
- C. Store the key by using AWS KMS. Create the DynamoDB table with default encryption. Include the kms:Encrypt parameter with the Amazon Resource Name (ARN) of the AWS KMS key when using the DynamoDB SDK.
- D. Store the key by using AWS KMS. Choose an AWS KMS AWS managed key during creation of the DynamoDB table. Provide the Amazon Resource Name (ARN) of the AWS KMS key.
Answer: A
Explanation:
Requirement Summary:
* Storecustomer ordersin DynamoDB
* Must encrypt data at rest
* Company wants to use akey it generates(i.e., customer managed key)
Evaluate Options:
A: Set encryption to None, manually encrypt/decrypt in code
* #Overhead and error-prone
* Alsonon-compliantwith AWS encryption best practices
#B. Use customer managed KMS key
* #Exactly meets the requirement: customer generates and controls the key
* During table creation, you can specify aKMS CMK ARN
C: Default encryption + kms:Encrypt in SDK
* #Misunderstanding: DynamoDB handles encryptionautomatically
* You don't need to call kms:Encrypt manually in SDK
D: Use AWS managed key
* #Does not meet the requirement of usingcustom company-generated key
* DynamoDB encryption: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/EncryptionAtRest.html
* KMS customer managed keys: https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#customer-cmk
NEW QUESTION # 527
......
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