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NEW QUESTION 48
A Developer is working on an application that tracks hundreds of millions of product reviews in an Amazon DynamoDB table. The records include the data elements shown in the table:

Which field, when used as the partition key, would result in the MOST consistent performance using DynamoDB?

A. commentB. reviewIDC. productIDD. starRating

Answer: C

Explanation:
Explanation
Refer AWS documentation - DynamoDB Design partition key
The partition key portion of a table s primary key determines the logical partitions in which a table's data is stored. This in turn affects the underlying physical partitions. Provisioned I/O capacity for the table is divided evenly among these physical partitions. Therefore a partition key design that doesn't distribute I/O requests evenly can create "hot" partitions that result in throttling and use your provisioned I/O capacity inefficiently.
The optimal usage of a table's provisioned throughput depends not only on the workload patterns of individual items, but also on the partition-key design. This doesn that you must access all partition key values to achieve an efficient throughput level, or even that the percentage of accessed partition key values must be high. It does mean that the more distinct partition key values that your workload accesses, the more those requests will be spread across the partitioned space. In general, you will use your provisioned throughput more efficiently as the ratio of partition key values accessed to the total number of partition key values increases.

 

NEW QUESTION 49
You are writing to a DynamoDB table and receive the following exception:" ProvisionedThroughputExceededException". though according to your Cloudwatch metrics for the table, you are not exceeding your provisioned throughput.
What could be an explanation for this?

A. You're exceeding your capacity on a particular Sort KeyB. You haven't configured DynamoDB Auto Scaling triggersC. You're exceeding your capacity on a particular Range KeyD. You haven't provisioned enough DynamoDB storage instancesE. You're exceeding your capacity on a particular Hash Key

Answer: E

Explanation:
Reference:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.CoreComponents.html#HowItWorks.CoreComponents.PrimaryKey
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.Partitions.html
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-partition-key-design.html

 

NEW QUESTION 50
A developer is creating an application to process a large number of requests Requests must be processed in order, and each request should be processed only once How should Amazon SQS be deployed to achieve this?

A. Use an SQS FIFO queue to process requestsB. Configure First in First out (FIFO) delivery in a standard Amazon SQS queue to process requests.C. Convert the standard queue to a FIFO queue by renaming the queue to use the fifo suffix.D. Use the SetOrder attribute to ensure sequential request processing

Answer: A

 

NEW QUESTION 51
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