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NEW QUESTION 52
Recently, a gaming firm purchased a popular iOS game that is especially popular during the Christmas season.
The business has opted to include a leaderboard into the game, which will be powered by Amazon DynamoDB. The application's load is likely to increase significantly throughout the Christmas season.
Which solution satisfies these criteria at the lowest possible cost?

• A. DynamoDB with provisioned capacity mode with Auto Scaling
• B. DynamoDB with on-demand capacity mode
• C. DynamoDB with DynamoDB Accelerator
• D. DynamoDB Streams

Answer: A

Explanation:
Explanation
"On-demand is ideal for bursty, new, or unpredictable workloads whose traffic can spike in seconds or minutes" vs.
'DynamoDB released auto scaling to make it easier for you to manage capacity efficiently, and auto scaling continues to help DynamoDB users lower the cost of workloads that have a predictable traffic pattern."
https://aws.amazon.com/blogs/database/amazon-dynamodb-auto-scaling-performance-and-cost-optimization-at-a

NEW QUESTION 53
An online gaming company is using an Amazon DynamoDB table in on-demand mode to store game scores. After an intensive advertisement campaign in South America, the average number of concurrent users rapidly increases from 100,000 to 500,000 in less than 10 minutes every day around 5 PM.
The on-call software reliability engineer has observed that the application logs contain a high number of DynamoDB throttling exceptions caused by game score insertions around 5 PM. Customer service has also reported that several users are complaining about their scores not being registered.
How should the database administrator remediate this issue at the lowest cost?

• A. Switch the table to provisioned mode and set the throughput to the peak value.
• B. Enable auto scaling and set the target usage rate to 90%.
• C. Switch the table to provisioned mode and enable auto scaling.
• D. Create a DynamoDB Accelerator cluster and use it to access the DynamoDB table.

Answer: C

NEW QUESTION 54
A company is using an Amazon Aurora PostgreSQL DB cluster with an xlarge primary instance master and two large Aurora Replicas for high availability and read-only workload scaling. A failover event occurs and application performance is poor for several minutes. During this time, application servers in all Availability Zones are healthy and responding normally.
What should the company do to eliminate this application performance issue?

• A. Deploy an AWS Lambda function that calls the DescribeDBInstances action to establish which instance has failed, and then use the PromoteReadReplica operation to promote one Aurora Replica to be the primary DB instance. Configure an Amazon RDS event subscription to send a notification to an Amazon SNS topic to which the Lambda function is subscribed.
• B. Configure both Aurora Replicas to have the same instance class as the primary DB instance. Implement Aurora PostgreSQL DB cluster cache management. Set the failover priority to tier-0 for the primary DB instance and to tier-1 for the replicas.
• C. Configure both of the Aurora Replicas to the same instance class as the primary DB instance. Enable cache coherence on the DB cluster, set the primary DB instance failover priority to tier-0, and assign a failover priority of tier-1 to the replicas.
• D. Configure one Aurora Replica to have the same instance class as the primary DB instance. Implement Aurora PostgreSQL DB cluster cache management. Set the failover priority to tier-0 for the primary DB instance and one replica with the same instance class. Set the failover priority to tier-1 for the other replicas.

Answer: D

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.cluster-cache-mgmt.htm
https://aws.amazon.com/blogs/database/introduction-to-aurora-postgresql-cluster-cache-management/
"You can customize the order in which your Aurora Replicas are promoted to the primary instance after a failure by assigning each replica a priority. Priorities range from 0 for the first priority to 15 for the last priority. If the primary instance fails, Amazon RDS promotes the Aurora Replica with the better priority to the new primary instance. You can modify the priority of an Aurora Replica at any time. Modifying the priority doesn't trigger a failover. More than one Aurora Replica can share the same priority, resulting in promotion tiers. If two or more Aurora Replicas share the same priority, then Amazon RDS promotes the replica that is largest in size. If two or more Aurora Replicas share the same priority and size, then Amazon RDS promotes an arbitrary replica in the same promotion tier. " Amazon Aurora with PostgreSQL compatibility now supports cluster cache management, providing a faster path to full performance if there's a failover. With cluster cache management, you designate a specific reader DB instance in your Aurora PostgreSQL cluster as the failover target. Cluster cache management keeps the data in the designated reader's cache synchronized with the data in the read-write instance's cache. If a failover occurs, the designated reader is promoted to be the new read-write instance, and workloads benefit immediately from the data in its cache.

NEW QUESTION 55
A database specialist is constructing an AWS CloudFormation stack using AWS CloudFormation. The database expert wishes to avoid the stack's Amazon RDS ProductionDatabase resource being accidentally deleted.
Which solution will satisfy this criterion?

• A. Create a stack policy to prevent updates. Include "Effect: ProductionDatabase" and "Resource: Deny" in the policy.
• B. Create an RDS DB instance without the DeletionPolicy attribute. Disable termination protection.
• C. Create a stack policy to prevent updates. Include Effect, Deny, and Resource :ProductionDatabase in the policy.
• D. Create an AWS CloudFormation stack in XML format. Set xAttribute as false.

Answer: C

Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/protect-stack-resources.html "When you set a stack policy, all resources are protected by default. To allow updates on all resources, we add an Allow statement that allows all actions on all resources. Although the Allow statement specifies all resources, the explicit Deny statement overrides it for the resource with the ProductionDatabase logical ID. This Deny statement prevents all update actions, such as replacement or deletion, on the ProductionDatabase resource."

NEW QUESTION 56
A banking company recently launched an Amazon RDS for MySQL DB instance as part of a proof-of-concept project. A database specialist has configured automated database snapshots. As a part of routine testing, the database specialist noticed one day that the automated database snapshot was not created.
Which of the following are possible reasons why the snapshot was not created? (Choose two.)

• A. The RDS maintenance window is not configured.
• B. RDS event notifications have not been enabled.
• C. The RDS DB instance is in the STORAGE_FULL state.
• D. A copy of the RDS automated snapshot for this DB instance is in progress in a different AWS Region.
• E. A copy of the RDS automated snapshot for this DB instance is in progress within the same AWS Region.

Answer: C,E

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_WorkingWithAutomatedBackups.html

NEW QUESTION 57
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