An application is making calls to a DynamoDB table.
The queries are taking on a lot of read capacity.
The table has a large number of attributes.
Not all of the attributes are used in the query.
Which of the following can be used to minimize the read capacity being used by the queries?
Click on the arrows to vote for the correct answer
A. B. C. D.Answer - A.
You can use Global secondary indexes and use only those attributes which will be queried.
This can help reduce the amount of read throughput used on the table.
Options B and D are invalid because these are invalid architecture designs.
Option C is incorrect since using queries is more effective.
For more information on general guidelines for indexes, please refer to the below URL-
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-indexes-general.htmlThe correct answer is A. Use global secondary indexes with projected attributes.
Explanation:
When you query a DynamoDB table, it consumes read capacity units (RCUs) based on the size of the item(s) that are being read. DynamoDB charges you based on the number of RCUs that you consume.
If your queries are consuming a lot of read capacity, there are a few things you can do to reduce the amount of capacity that your queries are using. One option is to use global secondary indexes (GSIs) with projected attributes.
A GSI is a separate index that you can create on a DynamoDB table. You can specify which attributes from the table should be projected (i.e., included) in the GSI. When you query the GSI, DynamoDB only needs to read the projected attributes, which can be a subset of the attributes in the table. This can reduce the amount of read capacity that your queries consume.
For example, if you have a table with 10 attributes, but your queries only use 2 of those attributes, you can create a GSI that only projects those 2 attributes. When you query the GSI, DynamoDB will only read those 2 attributes, which will consume less read capacity than if you were querying the entire table.
Option B, using an Application Load Balancer (ALB) in front of the DynamoDB table, is not relevant for reducing the read capacity of queries. An ALB is used to distribute incoming traffic across multiple targets, such as EC2 instances or containers. It does not affect how much read capacity a DynamoDB query consumes.
Option C, parallel scans on the table, is not an efficient way to minimize read capacity. Parallel scans are a way to split a large table scan into smaller segments that can be scanned concurrently. However, if your table is very large and your queries are only using a small subset of attributes, parallel scans will still consume a lot of read capacity.
Option D, using a CloudFront distribution in front of the DynamoDB table, is not relevant for reducing the read capacity of queries. CloudFront is a content delivery network (CDN) that can cache and deliver content from multiple origins, such as S3 buckets or EC2 instances. It does not affect how much read capacity a DynamoDB query consumes.