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DBS-C01 Exam Dumps - AWS Certified Database - Specialty

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Question # 4

A company developed an AWS CloudFormation template used to create all new Amazon DynamoDB tables in its AWS account. The template configures provisioned throughput capacity using hard-coded values. The company wants to change the template so that the tables it creates in the future have independently configurable read and write capacity units assigned.

Which solution will enable this change?

Add values for the rcuCount and wcuCount parameters to the Mappings section of the template. Configure DynamoDB to provision throughput capacity using the stackâ€™s mappings.

Add values for two Number parameters, rcuCount and wcuCount, to the template. Replace the hard-coded values with calls to the Ref intrinsic function, referencing the new parameters.

Add values for the rcuCount and wcuCount parameters as outputs of the template. Configure DynamoDB to provision throughput capacity using the stack outputs.

Add values for the rcuCount and wcuCount parameters to the Mappings section of the template. Replace the hard-coded values with calls to the Ref intrinsic function, referencing the new parameters.

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Question # 5

A company has more than 100 AWS accounts that need Amazon RDS instances. The company wants to build an automated solution to deploy the RDS instances with specific compliance parameters. The data does not need to be replicated. The company needs to create the databases within 1 day

Which solution will meet these requirements in the MOST operationally efficient way?

Create RDS resources by using AWS CloudFormation. Share the CloudFormation template with each account.

Create an RDS snapshot. Share the snapshot With each account Deploy the snapshot into each account

use AWS CloudFormation to create RDS instances in each account. Run AWS Database Migration Service (AWS DMS) replication to each ot the created instances.

Create a script by using the AWS CLI to copy the ROS instance into the other accounts from a template account.

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Question # 6

A Database Specialist is migrating a 2 TB Amazon RDS for Oracle DB instance to an RDS for PostgreSQL DB instance using AWS DMS. The source RDS Oracle DB instance is in a VPC in the us-east-1 Region. The target RDS for PostgreSQL DB instance is in a VPC in the use-west-2 Region.

Where should the AWS DMS replication instance be placed for the MOST optimal performance?

In the same Region and VPC of the source DB instance

In the same Region and VPC as the target DB instance

In the same VPC and Availability Zone as the target DB instance

In the same VPC and Availability Zone as the source DB instance

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Question # 7

A company's database specialist implements an AWS Database Migration Service (AWS DMS) task for change data capture (CDC) to replicate data from an on- premises Oracle database to Amazon S3. When usage of the company's application increases, the database specialist notices multiple hours of latency with the CDC.

Which solutions will reduce this latency? (Choose two.)

Configure the DMS task to run in full large binary object (LOB) mode.

Configure the DMS task to run in limited large binary object (LOB) mode.

Create a Multi-AZ replication instance.

Load tables in parallel by creating multiple replication instances for sets of tables that participate in common transactions.

Replicate tables in parallel by creating multiple DMS tasks for sets of tables that do not participate in common transactions.

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Question # 8

A company has a heterogeneous six-node production Amazon Aurora DB cluster that handles online transaction processing (OLTP) for the core business and OLAP reports for the human resources department. To match compute resources to the use case, the company has decided to have the reporting workload for the human resources department be directed to two small nodes in the Aurora DB cluster, while every other workload goes to four large nodes in the same DB cluster.

Which option would ensure that the correct nodes are always available for the appropriate workload while meeting these requirements?

Use the writer endpoint for OLTP and the reader endpoint for the OLAP reporting workload.

Use automatic scaling for the Aurora Replica to have the appropriate number of replicas for the desired workload.

Create additional readers to cater to the different scenarios.

Use custom endpoints to satisfy the different workloads.

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