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NEW QUESTION 41
A company is concerned about the cost of a large-scale, transactional application using Amazon DynamoDB that only needs to store data for 2 days before it is deleted. In looking at the tables, a Database Specialist notices that much of the data is months old, and goes back to when the application was first deployed.
What can the Database Specialist do to reduce the overall cost?
- A. Create a new attribute in each table to track the expiration time and create an AWS Glue transformation to delete entries more than 2 days old.
- B. Create a new attribute in each table to track the expiration time and enable time to live (TTL) on each table.
- C. Create a new attribute in each table to track the expiration time and enable DynamoDB Streams on each table.
- D. Create an Amazon CloudWatch Events event to export the data to Amazon S3 daily using AWS Data Pipeline and then truncate the Amazon DynamoDB table.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html
NEW QUESTION 42
A startup company is building a new application to allow users to visualize their on-premises and cloud networking components. The company expects billions of components to be stored and requires responses in milliseconds. The application should be able to identify:
The networks and routes affected if a particular component fails.
The networks that have redundant routes between them.
The networks that do not have redundant routes between them.
The fastest path between two networks.
Which database engine meets these requirements?
- A. Amazon Aurora MySQL
- B. Amazon Neptune
- C. Amazon ElastiCache for Redis
- D. Amazon DynamoDB
Answer: B
NEW QUESTION 43
A database specialist is building a system that uses a static vendor dataset of postal codes and related territory information that is less than 1 GB in size. The dataset is loaded into the application's cache at start up. The company needs to store this data in a way that provides the lowest cost with a low application startup time.
Which approach will meet these requirements?
- A. Use Amazon Aurora Serverless. Allow the service to spin resources up and down, as needed.
- B. Use an Amazon RDS DB instance. Shut down the instance once the data has been read.
- C. Use Amazon DynamoDB in on-demand capacity mode.
- D. Use Amazon S3 and load the data from flat files.
Answer: B
NEW QUESTION 44
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