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Difficulty: EasyData Store Operations with Amazon DynamoDB

A developer is building a digital concert ticketing application. The application needs to retrieve ticket status details for a single ticket using the TicketId, which is the partition key of the Amazon DynamoDB table. The developer wants to minimize latency and read capacity consumption. Which approach is the most efficient and cost-effective way to retrieve the ticket details?

  1. Use the GetItem API operation specifying the exact TicketId value.Answer
  2. B
    Use the Scan API operation with a FilterExpression to match the TicketId.
  3. C
    Increase the provisioned read capacity units (RCUs) and use the Scan API operation.
  4. D
    Configure the AWS SDK client with hardcoded credentials and run a Scan operation.

Answer

Use the GetItem API operation specifying the exact TicketId value.
Using the GetItem operation is the most efficient method because it retrieves a single item directly by its primary key (TicketId) without reading any other items in the table, resulting in the lowest latency and resource consumption.

Step-by-Step Solution

1
Identify the key attributes needed to retrieve the ticket status details.
The target item is a single ticket uniquely identified by its primary partition key, TicketId.
Knowing that the search is for a single item using its primary key dictates the most optimal retrieval path.
2
Compare DynamoDB read operations for retrieving a single item.
GetItem retrieves a single item using the primary key, while Scan reads all items in the table.
GetItem is designed for single-item lookups and consumes minimal Read Capacity Units (RCUs), whereas Scan is extremely inefficient for this use case.
3
Select the most optimal API operation.
GetItem is chosen because it avoids scanning the entire database table.
This minimizes both response latency and operational costs.

Key Concept

Single-item lookup using the GetItem API operation is the most efficient way to retrieve data by primary key in DynamoDB.
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Topics

Data Store Operations with Amazon DynamoDB

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