A company receives food orders from multiple partners. The company has a microservices application that uses Amazon API Gateway APIs with AWS Lambda integration. Each partner sends orders by calling a customized API that is exposed through API Gateway. The API call invokes a shared Lambda function to process the orders.
Partners need to be notified after the Lambda function processes the orders. Each partner must receive updates for only the partner's own orders. The company wants to add new partners in the future with the fewest code changes possible.
Which solution will meet these requirements in the MOST scalable way?

• A.Create a different Amazon Simple Notification Service (Amazon SNS) topic for each partner. Configure the Lambda function to publish messages for each partner to the partner's SNS topic.
• B.Create a different Lambda function for each partner. Configure the Lambda function to notify each partner's service endpoint directly.
• C.Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure the Lambda function to publish messages with specific attributes to the SNS topic. Subscribe each partner to the SNS topic. Apply the appropriate filter policy to the topic subscriptions.
• D.Create one Amazon Simple Notification Service (Amazon SNS) topic. Subscribe all partners to the SNS topic.

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A company's application has an AWS Lambda function that processes messages from loT 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?

• A.Modify the application to log the calculated throughput to Amazon CloudWatch Logs. Use Amazon EventBridge to invoke a separate Lambda function to process the logs on a schedule.
• B.Use the Lambda function's Invocations metric and Duration metric to calculate the throughput in Amazon CloudWatch.
• C.Modify the application to publish custom Amazon CloudWatch metrics when the Lambda function receives and processes each message. Use the metrics to calculate the throughput.
• D.Use the Lambda function's ConcurrentExecutions metric in Amazon CloudWatch to measure the throughput.

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A developer is writing an AWS Lambda function. The developer wants to log key events that occur while the Lambda function runs. The developer wants to include a unique identifier to associate the events with a specific function invocation. The developer adds the following code to the Lambda function:

Which solution will meet this requirement?

• A.Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to standard output.
• B.Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to a file.
• C.Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to standard output.
• D.Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to a file.

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