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A retail company is about to migrate its online and mobile store to AWS. The company’s CEO has strategic plans to grow the brand globally. A Database Specialist has been challenged to provide predictable read and write database performance with minimal operational overhead.
What should the Database Specialist do to meet these requirements?

  • A. Use Amazon DynamoDB global tables to synchronize transactions
  • B. Use Amazon Aurora Global Database to synchronize all transactions
  • C. Use Amazon EMR to copy the orders table data across Regions
  • D. Use Amazon DynamoDB Streams to replicate all DynamoDB transactions and sync them

Answer: A

With global tables, your globally distributed applications can access data locally in the selected regions to get single-digit millisecond read and write performance.
Not Aurora Global Database, as per this link: https://aws.amazon.com/rds/aurora/global-database/?nc1=h_ls . Aurora Global Database lets you easily scale database reads across the world and place your applications close to your users.


A company migrated one of its business-critical database workloads to an Amazon Aurora Multi-AZ DB cluster. The company requires a very low RTO and needs to improve the application recovery time after database failovers.
Which approach meets these requirements?

  • A. Modify the client connection timeout to 300 seconds.
  • B. Enable the query cache at the instance level.
  • C. Create an Amazon RDS Proxy database proxy and update client connections to point to the proxy endpoint.
  • D. Set the max_connections parameter to 16,000 in the instance-level parameter group.

Answer: C

Amazon RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability. With RDS Proxy, failover times for Aurora and RDS databases are reduced by up to 66% and database credentials, authentication, and access can be managed through integration with AWS Secrets Manager and AWS Identity and Access Management (IAM).


A gaming company has implemented a leaderboard in AWS using a Sorted Set data structure within Amazon ElastiCache for Redis. The ElastiCache cluster has been deployed with cluster mode disabled and has a replication group deployed with two additional replicas. The company is planning for a worldwide gaming event and is anticipating a higher write load than what the current cluster can handle.
Which method should a Database Specialist use to scale the ElastiCache cluster ahead of the upcoming event?

  • A. Use the EXPIRE command and set a higher time to live (TTL) after each call to increment a given key.
  • B. Increase the size of the ElastiCache cluster nodes to a larger instance size.
  • C. Enable cluster mode on the existing ElastiCache cluster and configure separate shards for the Sorted Setacross all nodes in the cluster.
  • D. Create an additional ElastiCache cluster and load-balance traffic between the two clusters.

Answer: B


A company’s ecommerce website uses Amazon DynamoDB for purchase orders. Each order is made up of a Customer ID and an Order ID. The DynamoDB table uses the Customer ID as the partition key and the Order ID as the sort key.
To meet a new requirement, the company also wants the ability to query the table by using a third attribute named Invoice ID. Queries using the Invoice ID must be strongly consistent. A database specialist must provide this capability with optimal performance and minimal overhead.
What should the database administrator do to meet these requirements?

  • A. Use the partition key and a FilterExpression parameter with a filter on Invoice ID for all queries.
  • B. Add a global secondary index on Invoice ID to the existing table.
  • C. Add a local secondary index on Invoice ID to the existing table.
  • D. Recreate the table by using the latest snapshot while adding a local secondary index on Invoice ID.

Answer: D

as Local secondary index can only be created while creating the Dynamodb table. and query needs to use third attribute on top of primary and sort key, so Local Secondary index has primary and sort key as well as the third attribute. Global secondary index can be created without primary and sort key



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