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Q1.

Application developers have reported that an application is running slower as more users are added. The application database is running on an Amazon Aurora

DB cluster with an Aurora Replic

a. The application is written to take advantage of read scaling through reader endpoints. A database specialist looks at the performance metrics of the database and determines that, as new users were added to the database, the primary instance CPU utilization steadily increased while the Aurora Replica CPU utilization remained steady.

How can the database specialist improve database performance while ensuring minimal downtime?

AModify the Aurora DB cluster to add more replicas until the overall load stabilizes. Then, reduce the number of replicas once the application meets service level objectives.

BModify the primary instance to a larger instance size that offers more CPU capacity.

CModify a replica to a larger instance size that has more CPU capacity. Then, promote the modified replica.

DRestore the Aurora DB cluster to one that has an instance size with more CPU capacity. Then, swap the names of the old and new DB clusters.

Answer: C

Q2.

A company wants to build a new invoicing service for its cloud-native application on AWS. The company has a small development team and wants to focus on service feature development and minimize operations and maintenance as much as possible. The company expects the service to handle billions of requests and millions of new records every day. The service feature requirements, including data access patterns are well-defined. The service has an availability target of

99.99% with a milliseconds latency requirement. The database for the service will be the system of record for invoicing data.

Which database solution meets these requirements at the LOWEST cost?

AAmazon Neptune

BAmazon Aurora PostgreSQL Serverless

CAmazon RDS for PostgreSQL

DAmazon DynamoDB

Answer: D

See the explanation below.

Known patterns, minimum maintenance, miliseconds latency

Q3.

A company has an application that uses an Amazon DynamoDB table as its data store. During normal business days, the throughput requirements from the application are uniform and consist of 5 standard write calls per second to the DynamoDB table. Each write call has 2 KB of data.

For 1 hour each day, the company runs an additional automated job on the DynamoDB table that makes 20 write requests per second. No other application writes to the DynamoDB table. The DynamoDB table does not have to meet any additional capacity requirements.

How should a database specialist configure the DynamoDB table's capacity to meet these requirements MOST cost-effectively?

AUse DynamoDB provisioned capacity with 5 WCUs and auto scaling.

BUse DynamoDB provisioned capacity with 5 WCUs and a write-through cache that DynamoDB Accelerator (DAX) provides.

CUse DynamoDB provisioned capacity with 10 WCUs and auto scaling.

DUse DynamoDB provisioned capacity with 10 WCUs and no auto scaling.

Answer: C

See the explanation below.

https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadWriteCapacityMode.html

Q4.

A company with 500,000 employees needs to supply its employee list to an application used by human resources. Every 30 minutes, the data is exported using the LDAP service to load into a new Amazon DynamoDB table. The data model has a base table with Employee ID for the partition key and a global secondary index with Organization ID as the partition key.

While importing the data, a database specialist receives ProvisionedThroughputExceededException errors. After increasing the provisioned write capacity units

(WCUs) to 50,000, the specialist receives the same errors. Amazon CloudWatch metrics show a consumption of 1,500 WCUs.

What should the database specialist do to address the issue?

AChange the data model to avoid hot partitions in the global secondary index.

BEnable auto scaling for the table to automatically increase write capacity during bulk imports.

CModify the table to use on-demand capacity instead of provisioned capacity.

DIncrease the number of retries on the bulk loading application.

Answer: A

See the explanation below.

https://aws.amazon.com/premiumsupport/knowledge-center/dynamodb-table-throttled/

Q5.

A financial services company runs an on-premises MySQL database for a critical application. The company is dissatisfied with its current database disaster recovery (DR) solution. The application experiences a significant amount of downtime whenever the database fails over to its DR facility. The application also experiences slower response times when reports are processed on the same database. To minimize the downtime in DR situations, the company has decided to migrate the database to AWS. The company requires a solution that is highly available and the most cost-effective.

Which solution meets these requirements?

ACreate an Amazon RDS for MySQL Multi-AZ DB instance and configure a read replica in a different Availability Zone. Configure the application to reference the replica instance endpoint and report queries to reference the primary DB instance endpoint.

BCreate an Amazon RDS for MySQL Multi-AZ DB instance and configure a read replica in a different Availability Zone. Configure the application to reference the primary DB instance endpoint and report queries to reference the replica instance endpoint.

CCreate an Amazon Aurora DB cluster and configure an Aurora Replica in a different Availability Zone. Configure the application to reference the cluster endpoint and report queries to reference the reader endpoint.

DCreate an Amazon Aurora DB cluster and configure an Aurora Replica in a different Availability Zone. Configure the application to reference the primary DB instance endpoint and report queries to reference the replica instance endpoint.

Answer: C

See the explanation below.

https://aws.amazon.com/about-aws/whats-new/2016/09/reader-end-point-for-amazon-aurora/

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