Question: 1
A user is planning to host a mobile game on EC2 which sends notifications to active users on either high score or the addition of new features. The user should get this notification when he is online on his mobile device. Which of the below mentioned AWS services can help achieve this functionality?
Question: 2
An online retailer is using Amazon DynamoDB to store data relate to customer transactions. The items in the table contain several string attributes describing the transaction as well as a JSON attribute containing the shopping cart and other details corresponding to the transactions. Average item size is ~250KB, most of which is associated with the JSON attribute. The average generates ~3GB of data per month.
Customers access the table to display their transaction history and review transaction details as needed. Ninety percent of queries against the table are executed when building the transaction history view, with the other 10% retrieving transaction details. The table is partitioned on CustomerID and sorted on transaction data.
The client has very high read capacity provisioned for the table and experiences very even utilization, but complains about the cost of Amazon DynamoDB compared to other NoSQL solutions.
Which strategy will reduce the cost associated with the client's read queries while not degrading quality?
Question: 3
A user is planning to host a mobile game on EC2 which sends notifications to active users on either high score or the addition of new features. The user should get this notification when he is online on his mobile device. Which of the below mentioned AWS services can help achieve this functionality?
Question: 4
An organization is currently using an Amazon EMR long-running cluster with the latest Amazon EMR release for analytic jobs and is storing data as external tables on Amazon S3.
The company needs to launch multiple transient EMR clusters to access the same tables concurrently, but the metadata about the Amazon S3 external tables are defined and stored on the long-running cluster.
Which solution will expose the Hive metastore with the LEAST operational effort?
Question: 5
An online retailer is using Amazon DynamoDB to store data relate to customer transactions. The items in the table contain several string attributes describing the transaction as well as a JSON attribute containing the shopping cart and other details corresponding to the transactions. Average item size is ~250KB, most of which is associated with the JSON attribute. The average generates ~3GB of data per month.
Customers access the table to display their transaction history and review transaction details as needed. Ninety percent of queries against the table are executed when building the transaction history view, with the other 10% retrieving transaction details. The table is partitioned on CustomerID and sorted on transaction data.
The client has very high read capacity provisioned for the table and experiences very even utilization, but complains about the cost of Amazon DynamoDB compared to other NoSQL solutions.
Which strategy will reduce the cost associated with the client's read queries while not degrading quality?
