Final answer:
To control access for an AWS Lambda function to a specific Amazon DynamoDB table or Amazon Kinesis stream, an IAM role with appropriate permissions needs to be created and attached to the Lambda function.
Step-by-step explanation:
To control which Amazon DynamoDB table or Amazon Kinesis stream an AWS Lambda function can poll, you need to set up the correct permissions using AWS Identity and Access Management (IAM).
When you create a Lambda function, you assign it an IAM role that has policies attached. These policies specify what resources the function can access and what actions it can perform on those resources.
Here's how to control access:
- Create an IAM role with the necessary permissions. For example, if you want to give the Lambda function permission to poll a DynamoDB table, your IAM policy should include 'dynamodb:GetRecords', 'dynamodb:GetShardIterator', 'dynamodb:DescribeStream', 'dynamodb:ListStreams', and any other required actions on the specific table.
- For an Amazon Kinesis stream, include actions like 'kinesis:GetRecords', 'kinesis:GetShardIterator', and 'kinesis:DescribeStream' in the IAM policy. Make sure to specify the resource ARN (Amazon Resource Name) for the table or stream in the policy to restrict access only to that particular resource.
- Attach this IAM role to your AWS Lambda function when you create or update it.
By carefully crafting the IAM policy and assigning the appropriate role to your Lambda function, you can control which table or stream it can access and ensure that the function has only the permissions it needs to operate.