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DBS-C01 Practice Test


Page 7 out of 40 Pages

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?


A.

Add values for the rcuCount and wcuCount parameters to the Mappings section of the template.
ConfigureDynamoDB to provision throughput capacity using the stack’s mappings


B.

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


C.

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


D.

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





B.
  

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



A large ecommerce company uses Amazon DynamoDB to handle the transactions on its web portal. Traffic
patterns throughout the year are usually stable; however, a large event is planned. The company knows that
traffic will increase by up to 10 times the normal load over the 3-day event. When sale prices are published
during the event, traffic will spike rapidly.How should a Database Specialist ensure DynamoDB can handle the increased traffic?


A.

Ensure the table is always provisioned to meet peak needs


B.

Allow burst capacity to handle the additional load


C.

Set an AWS Application Auto Scaling policy for the table to handle the increase in traffic


D.

Preprovision additional capacity for the known peaks and then reduce the capacity after the event





B.
  

Allow burst capacity to handle the additional load



A gaming company wants to deploy a game in multiple Regions. The company plans to save local high scores
in Amazon DynamoDB tables in each Region. A Database Specialist needs to design a solution to automate
the deployment of the database with identical configurations in additional Regions, as needed. The solution
should also automate configuration changes across all Regions.
Which solution would meet these requirements and deploy the DynamoDB tables?


A.

Create an AWS CLI command to deploy the DynamoDB table to all the Regions and save it for future
deployments


B.

Create an AWS CloudFormation template and deploy the template to all the Regions.


C.

Create an AWS CloudFormation template and use a stack set to deploy the template to all the Regions


D.

Create DynamoDB tables using the AWS Management Console in all the Regions and create a
step-bystep guide for future deployments.





B.
  

Create an AWS CloudFormation template and deploy the template to all the Regions.



A company with branch offices in Portland, New York, and Singapore has a three-tier web application that
leverages a shared database. The database runs on Amazon RDS for MySQL and is hosted in the us-west-2
Region. The application has a distributed front end deployed in the us-west-2, ap-southheast-1, and us-east-2
Regions.
This front end is used as a dashboard for Sales Managers in each branch office to see current sales statistics.
There are complaints that the dashboard performs more slowly in the Singapore location than it does in
Portland or New York. A solution is needed to provide consistent performance for all users in each location.
Which set of actions will meet these requirements?


A.

Take a snapshot of the instance in the us-west-2 Region. Create a new instance from the snapshot in the
ap-southeast-1 Region. Reconfigure the ap-southeast-1 front-end dashboard to access this instance.


B.

Create an RDS read replica in the ap-southeast-1 Region from the primary RDS DB instance in the
uswest- 2 Region. Reconfigure the ap-southeast-1 front-end dashboard to access this instance


C.

Create a new RDS instance in the ap-southeast-1 Region. Use AWS DMS and change data capture
(CDC) to update the new instance in the ap-southeast-1 Region. Reconfigure the ap-southeast-1
front-end dashboard to access this instance


D.

Create an RDS read replica in the us-west-2 Region where the primary instance resides. Create a read
replica in the ap-southeast-1 Region from the read replica located on the us-west-2 Region. Reconfigure
the ap-southeast-1 front-end dashboard to access this instance.





A.
  

Take a snapshot of the instance in the us-west-2 Region. Create a new instance from the snapshot in the
ap-southeast-1 Region. Reconfigure the ap-southeast-1 front-end dashboard to access this instance.



A company has a production Amazon Aurora Db cluster that serves both online transaction processing (OLTP)
transactions and compute-intensive reports. The reports run for 10% of the total cluster uptime while the
OLTP transactions run all the time. The company has benchmarked its workload and determined that a
six-node Aurora DB cluster is appropriate for the peak workload.
The company is now looking at cutting costs for this DB cluster, but needs to have a sufficient number of
nodes in the cluster to support the workload at different times. The workload has not changed since the
previous benchmarking exercise.
How can a Database Specialist address these requirements with minimal user involvement?


A.

Split up the DB cluster into two different clusters: one for OLTP and the other for reporting. Monitor
and set up replication between the two clusters to keep data consistent.


B.

Review all evaluate the peak combined workload. Ensure that utilization of the DB cluster node is at an
acceptable level. Adjust the number of instances, if necessary.


C.

Use the stop cluster functionality to stop all the nodes of the DB cluster during times of minimal
workload. The cluster can be restarted again depending on the workload at the time.


D.

Set up automatic scaling on the DB cluster. This will allow the number of reader nodes to adjust
automatically to the reporting workload, when needed.





D.
  

Set up automatic scaling on the DB cluster. This will allow the number of reader nodes to adjust
automatically to the reporting workload, when needed.




Page 7 out of 40 Pages
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