Practice Free DVA-C02 Exam Online Questions
A developer is creating an AWS Lambda function that searches for Items from an Amazon DynamoDQ
table that contains customer contact information. The DynamoDB table items have the customers as the partition and additional properties such as customer -type, name, and job_title.
The Lambda function runs whenever a user types a new character into the customer_type text Input. The developer wants to search to return partial matches of all tne email_address property of a particular customer type. The developer does not want to recreate the DynamoDB table.
What should the developer do to meet these requirements?
- A . Add a global secondary index (GSI) to the DynamoDB table with customer-type input, as the partition key and email_address as the sort key. Perform a query operation on the GSI by using the begins with key condition expression with the email_address property.
- B . Add a global secondary index (GSI) to the DynamoDB table with email_address as the partition key and customer_type as the sort key. Perform a query operation on the GSI by using the begine_with key condition expresses with the email. Address property.
- C . Add a local secondary index (LSI) to the DynemoOB table with customer_type as the partition Key and email_address as the sort Key. Perform a quick operation on the LSI by using the begine_with Key condition expression with the email-address property.
- D . Add a local secondary index (LSI) to the DynamoDB table with job-title as the partition key and email_address as the sort key. Perform a query operation on the LSI by using the begins_with key condition expression with the email_address property.
A
Explanation:
The solution that will meet the requirements is to add a global secondary index (GSI) to the DynamoDB table with customer_type as the partition key and email_address as the sort key. Perform a query operation on the GSI by using the begins_with key condition expression with the email_address property. This way, the developer can search for partial matches of the email_address property of a particular customer type without recreating the DynamoDB table. The other options either involve using a local secondary index (LSI), which requires recreating the table, or using a different partition key, which does not allow filtering by customer_type.
Reference: Using Global Secondary Indexes in DynamoDB
A developer is creating an application that uses an Amazon DynamoDB table. The developer needs to develop code that reads all records that were added to the table during the previous day. creates HTML reports, and pushes the reports into third-party storage. The item size varies from 1 KB to 4 KB, and the index structure is defined with the date. The developer needs to minimize the read capacity that the application requires from the DynamoDB table.
Which DynamoDB API operation should the developer use in the code to meet these requirements?
- A . Query
- B . Scan
- C . BatchGetltem
- D . Getltem