A company is building an application to track athlete performance using an Amazon DynamoDB table. Each item in the table is identified by a partition key (user_id) and a sort key (sport_name). The table design is shown below:
(Note: Not all table attributes are shown)
A Developer is asked to write a leaderboard application to display the top performers (user_id) based on the score for each sport_name.
What process will allow the Developer to extract results MOST efficiently from the DynamoDB table?
A. Use a DynamoDB query operation with the key attributes of user_idand sport_name and order the results based on the score attribute.
B. Create a global secondary index with a partition key of sport_nameand a sort key of score, and get the results
C. Use a DynamoDB scan operation to retrieve scores and user_idbased on sport_name, and order the results based on the score attribute.
D. Create a local secondary index with a primary key of sport_nameand a sort key of score and get the results based on the score attribute.
(Note: Not all table attributes are shown)
A Developer is asked to write a leaderboard application to display the top performers (user_id) based on the score for each sport_name.
What process will allow the Developer to extract results MOST efficiently from the DynamoDB table?
A. Use a DynamoDB query operation with the key attributes of user_idand sport_name and order the results based on the score attribute.
B. Create a global secondary index with a partition key of sport_nameand a sort key of score, and get the results
C. Use a DynamoDB scan operation to retrieve scores and user_idbased on sport_name, and order the results based on the score attribute.
D. Create a local secondary index with a primary key of sport_nameand a sort key of score and get the results based on the score attribute.