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NEW QUESTION 35
A Developer has created a large Lambda function, and deployment is failing with the following error:
ClientError: An error occurred (InvalidParameterValueException) when calling the
CreateFunction operation: Unzipped size must be smaller than XXXXXXXXX bytes', where XXXXXXXXX is the current Lambda limit
What can the Developer do to fix this problem?
- A. Break the function into multiple smaller Lambda functions.
- B. Use a compression algorithm that is more efficient than ZIP.
- C. Submit a limit increase request to AWS Support to increase the function to the size needed.
- D. ZIP the ZIP file twice to compress it further.
Answer: A
NEW QUESTION 36
A company has a REST application comprised of an Amazon API Gateway and several AWS Lambda functions. A developer is responding to an alert that the API Gateway's HTTP response error rate has unexpectedly increased. The developer must determine must which Lambda function is malfunctioning.
Which method would help the developer make this determination while minimizing delays?
- A. Execute an Amazon Athena query against the API Gateway and Lambda execution logs.
- B. Execute an Amazon CloudWatch Logs Insights query against the API Gateway and Lambda execution logs.
- C. Download the API Gateway and Lambda execution logs from Amazon CloudWatch Events, and perform line-by-line search against them.
- D. Download the API Gateway and Lambda execution logs from Amazon S3, and perform a line-by-line search against them.
Answer: C
NEW QUESTION 37
Does Amazon DynamoDB support both increment and decrement atomic operations?
- A. Only decrement, since increment are inherently impossible with DynamoDB's data model.
- B. Yes, both increment and decrement operations.
- C. Only increment, since decrement are inherently impossible with DynamoDB's data model.
- D. No, neither increment nor decrement operations.
Answer: B
Explanation:
Amazon DynamoDB supports increment and decrement atomic operations.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/APISummary.html
NEW QUESTION 38
Developer is creating an AWS Lambda function to process a stream of data from an Amazon Kinesis Data Stream. When the Lambda function parses the data and encounters a missing field, it exits the function with an error. The function is generating duplicate records from the Kinesis stream. When the Developer looks at the stream output without the Lambda function, there are no duplicate records.
What is the reason for the duplicates?
- A. The Lambda event source used asynchronous invocation, resulting in duplicate records.
- B. The Lambda function did not advance the Kinesis stream pointer to the next record after the error.
- C. The Lambda function did not handle the error, and the Lambda service attempted to reprocess the data.
- D. The Lambda function is not keeping up with the amount of data coming from the stream.
Answer: B
NEW QUESTION 39
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