Exam AWS Certified Developer - Associate DVA-C02 topic 1 question 227 discussion

C. Reduce the frequency of requests to DynamoDB by implementing exponential backoff. E. Change the capacity mode of the DynamoDB table from provisioned to on-demand.

What the question said is insert data..so B increase read capacity is not correct.Hence C and E.

B And C: While E could resolve the issue by automatically scaling the capacity, it may not be the most cost-effective solution if the traffic pattern is predictable and can be managed with provisioned capacity and backoff strategies.

By implementing exponential backoff, the application will automatically retry failed requests with increasing delays between attempts. This helps to spread out the requests over time, reducing the likelihood of exceeding the provisioned throughput. Since the table is configured to use provisioned capacity, increasing the number of RCUs will allow the table to handle more read requests per second. This directly addresses the ProvisionedThroughputExceededException by increasing the table's capacity to handle more concurrent requests.

Answer is C & E: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.Errors.html ProvisionedThroughputExceededException Message: You exceeded your maximum allowed provisioned throughput for a table or for one or more global secondary indexes. To view performance metrics for provisioned throughput vs. consumed throughput, open the Amazon CloudWatch console. Example: Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce the frequency of requests using Error retries and exponential backoff.

CE is the correct answer.

https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadWriteCapacityMode.html

https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/ProvisionedThroughput.html#:~:text=The%20DynamoDB%20console%20displays%20Amazon%20CloudWatch%20metrics%20for%20your%20tables%2C%20so%20you%20can%20monitor%20throttled%20read%20requests%20and%20write%20requests.%20If%20you%20encounter%20excessive%20throttling%2C%20you%20should%20consider%20increasing%20your%20table%27s%20provisioned%20throughput%20settings.

B. This error indicates that the application's request rate is exceeding the throughput that has been provisioned for the table. Increasing the provisioned read capacity units (RCUs) and/or write capacity units (WCUs) for the DynamoDB table will allow it to handle a higher request rate, thereby reducing the likelihood of encountering this error. However, this approach requires careful capacity planning and may increase costs. C. Exponential backoff is a standard error retry strategy that involves progressively increasing the delay between retries when there is a ProvisionedThroughputExceededException. This approach helps to smooth out the rate of requests, giving the table time to accommodate bursts of read or write requests. Implementing exponential backoff in the application will help to effectively manage request retries and reduce the chance of continually hitting the provisioned throughput limit.

C & E correct

Based on ChatGPT: BC

B. Increase the number of read capacity units (RCUs) that are provisioned for the DynamoDB table. OR E. Change the capacity mode of the DynamoDB table from provisioned to on-demand. C. Reduce the frequency of requests to DynamoDB by implementing exponential backoff.