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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Development with AWS Services	32%	- AWS core services development 1. Amazon S3 usage in applications 2. Amazon DynamoDB integration patterns 3. AWS Lambda functions development - Application development and integration 1. API Gateway and REST APIs 2. Event-driven architectures with SNS/SQS
Topic 2: Deployment	24%	- CI/CD and deployment strategies 1. AWS CodeBuild and CodeDeploy usage 2. AWS CodePipeline workflows - Infrastructure as code 1. AWS CloudFormation templates
Topic 3: Troubleshooting and Optimization	18%	- Monitoring and logging 1. Amazon CloudWatch metrics and logs - Performance optimization 1. Application performance tuning 2. Fault tolerance and resilience patterns
Topic 4: Security	26%	- Data security 1. Encryption using AWS KMS 2. Secure API access patterns - Application authentication and authorization 1. Cognito user authentication 2. IAM roles and policies

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Amazon AWS Certified Developer - Associate Sample Questions (Q356-Q361):

NEW QUESTION # 356
A developer is updating several AWS Lambda functions and notices that all the Lambda functions share the same custom libraries. The developer wants to centralize all the libraries, update the libraries in a convenient way, and keep the libraries versioned.
Which solution will meet these requirements with the LEAST development effort?

A. Create an Amazon Elastic File System (Amazon EFS) file system to store all the custom libraries.
B. Create a custom container image for the Lambda functions to save all the custom libraries.
C. Create an AWS CodeArtifact repository that contains all the custom libraries.
D. Create a Lambda layer that contains all the custom libraries.

Answer: D

Explanation:
The most efficient solution is to use a Lambda layer to store the common libraries, update them in one place, and reference them from each Lambda function that requires them.

NEW QUESTION # 357
A developer is creating an AWS Lambda function that needs credentials to connect to an Amazon RDS for MySQL database. An Amazon S3 bucket currently stores the credentials. The developer needs to improve the existing solution by implementing credential rotation and secure storage. The developer also needs to provide integration with the Lambda function.
Which solution should the developer use to store and retrieve the credentials with the LEAST management overhead?

A. Encrypt the credentials by using AWS Key Management Service (AWS KMS). Store the credentials in an Amazon DynamoDB table. Create a second Lambda function to rotate the credentials. Invoke the second Lambda function by using an Amazon EventBridge rule that runs on a schedule. Update the DynamoDB table. Update the database to use the generated credentials. Retrieve the credentials from DynamoDB with the first Lambda function. Connect to the database.
B. Store the credentials in AWS Systems Manager Parameter Store. Select the database that the parameter will access. Use the default AWS Key Management Service (AWS KMS) key to encrypt the parameter. Enable automatic rotation for the parameter. Use the parameter from Parameter Store on the Lambda function to connect to the database.
C. Store the credentials in AWS Secrets Manager. Set the secret type to Credentials for Amazon RDS database. Select the database that the secret will access. Use the default AWS Key Management Service (AWS KMS) key to encrypt the secret. Enable automatic rotation for the secret. Use the secret from Secrets Manager on the Lambda function to connect to the database.
D. Encrypt the credentials with the default AWS Key Management Service (AWS KMS) key. Store the credentials as environment variables for the Lambda function. Create a second Lambda function to generate new credentials and to rotate the credentials by updating the environment variables of the first Lambda function. Invoke the second Lambda function by using an Amazon EventBridge rule that runs on a schedule. Update the database to use the new credentials. On the first Lambda function, retrieve the credentials from the environment variables. Decrypt the credentials by using AWS KMS, Connect to the database.

Answer: C

Explanation:
Explanation
AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. Secrets Manager enables you to store, retrieve, and rotate secrets such as database credentials, API keys, and passwords. Secrets Manager supports a secret type for RDS databases, which allows you to select an existing RDS database instance and generate credentials for it. Secrets Manager encrypts the secret using AWS Key Management Service (AWS KMS) keys and enables automatic rotation of the secret at a specified interval. A Lambda function can use the AWS SDK or CLI to retrieve the secret from Secrets Manager and use it to connect to the database. Reference: Rotating your AWS Secrets Manager secrets

NEW QUESTION # 358
A developer needs to export the contents of several Amazon DynamoDB tables into Amazon S3 buckets to comply with company data regulations. The developer uses the AWS CLI to run commands to export from each table to the proper S3 bucket. The developer sets up AWS credentials correctly and grants resources appropriate permissions. However, the exports of some tables fail.
What should the developer do to resolve this issue?

A. Ensure that DynamoDB Accelerator (DAX) is enabled.
B. Ensure that point-in-time recovery is enabled on the DynamoDB tables.
C. Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table.
D. Ensure that DynamoDB streaming is enabled for the tables.

Answer: C

Explanation:
Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer References:
1. Understanding the Use Case:
The developer needs to export DynamoDB table data into Amazon S3 buckets using the AWS CLI, and some exports are failing. Proper credentials and permissions have already been configured.
2. Key Conditions to Check:
Region Consistency:DynamoDB exports require that the target S3 bucket and the DynamoDB table reside in the same AWS Region. If they are not in the same Region, the export process will fail.
Point-in-Time Recovery (PITR):PITR is not required for exporting data from DynamoDB to S3. Enabling PITR allows recovery of table states at specific points in time but does not directly influence export functionality.
DynamoDB Streams:Streams allow real-time capture of data modifications but are unrelated to the bulk export feature.
DAX (DynamoDB Accelerator):DAX is a caching service that speeds up read operations for DynamoDB but does not affect the export functionality.
3. Explanation of the Options:
Option A:"Ensure that point-in-time recovery is enabled on the DynamoDB tables."While PITR is useful for disaster recovery and restoring table states, it is not required for exporting data to S3. This option does not address the export failure.
Option B:"Ensure that the target S3 bucket is in the same AWS Region as the DynamoDB table."This is the correct answer. DynamoDB export functionality requires the target S3 bucket to reside in the same AWS Region as the DynamoDB table. If the S3 bucket is in a different Region, the export will fail.
Option C:"Ensure that DynamoDB streaming is enabled for the tables."Streams are useful for capturing real- time changes in DynamoDB tables but are unrelated to the export functionality. This option does not resolve the issue.
Option D:"Ensure that DynamoDB Accelerator (DAX) is enabled."DAX accelerates read operations but does not influence the export functionality. This option is irrelevant to the issue.
4. Resolution Steps:
To ensure successful exports:
Verify the Region of the DynamoDB tables:
Check the Region where each table is located.
Verify the Region of the target S3 buckets:
Confirm that the target S3 bucket for each export is in the same Region as the corresponding DynamoDB table.
If necessary, create new S3 buckets in the appropriate Regions.
Run the export command again with the correct setup:
aws dynamodb export-table-to-point-in-time \
--table-name <TableName> \
--s3-bucket <BucketName> \
--s3-prefix <Prefix> \
--export-time <ExportTime> \
--region <Region>
References:
Exporting DynamoDB Data to Amazon S3
S3 Bucket Region Requirements for DynamoDB Exports
AWS CLI Reference for DynamoDB Export

NEW QUESTION # 359
A developer has created a large AWS Lambda function. Deployment of the function Is failing because of an InvalidParameterValueException error. The error message indicates that the unzipped size of the function exceeds the maximum supported value.
Which actions can the developer take to resolve this error? (Select TWO.)

A. Use a compression algorithm that is more efficient than ZIP.
B. Move common libraries, function dependencies, and custom runtimes into Lambda layers.
C. Zip the .zip file twice to compress the file more.
D. Break up the function into multiple smaller functions.
E. Submit a quota increase request to AWS Support to increase the function to the required size.

Answer: B,D

NEW QUESTION # 360
A developer is storing many objects in a single Amazon S3 bucket. The developer needs to optimize the S3 bucket for high request rates.
How should the developer store the objects to meet this requirement?

A. Store the objects by using object key names distributed across multiple prefixes.
B. Store each object with an object tag named "prefix" that contains a unique value.
C. Store the objects by using S3 Intelligent-Tiering.
D. Store the objects at the root of the S3 bucket.

Answer: A

Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/optimizing-performance.html

NEW QUESTION # 361
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