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Amazon Web Services DBS-C01 Exam Sample Questions


Question # 1

A retail company with its main office in New York and another office in Tokyo plans to build a database
solution on AWS. The company’s main workload consists of a mission-critical application that updates its
application data in a data store. The team at the Tokyo office is building dashboards with complex analytical
queries using the application data. The dashboards will be used to make buying decisions, so they need to have
access to the application data in less than 1 second.
Which solution meets these requirements?

A.

Use an Amazon RDS DB instance deployed in the us-east-1 Region with a read replica instance in the
apnortheast-1 Region. Create an Amazon ElastiCache cluster in the ap-northeast-1 Region to
cacheapplication data from the replica to generate the dashboards.

B.

Use an Amazon DynamoDB global table in the us-east-1 Region with replication into the
ap-northeast-1Region. Use Amazon QuickSight for displaying dashboard results.

C.

Use an Amazon RDS for MySQL DB instance deployed in the us-east-1 Region with a read
replicainstance in the ap-northeast-1 Region. Have the dashboard application read from the read replica.

D.

Use an Amazon Aurora global database. Deploy the writer instance in the us-east-1 Region and the
replicain the ap-northeast-1 Region. Have the dashboard application read from the replica ap-northeast-1
Region.



D.

Use an Amazon Aurora global database. Deploy the writer instance in the us-east-1 Region and the
replicain the ap-northeast-1 Region. Have the dashboard application read from the replica ap-northeast-1
Region.





Question # 2

A Database Specialist has migrated an on-premises Oracle database to Amazon Aurora PostgreSQL. Theschema and the data have been migrated successfully. The on-premises database server was also being used to
run database maintenance cron jobs written in Python to perform tasks including data purging and generating
data exports. The logs for these jobs show that, most of the time, the jobs completed within 5 minutes, but a
few jobs took up to 10 minutes to complete. These maintenance jobs need to be set up for Aurora PostgreSQL.
How can the Database Specialist schedule these jobs so the setup requires minimal maintenance and provides
high availability?

A.

Create cron jobs on an Amazon EC2 instance to run the maintenance jobs following the required
schedule.

B.

Connect to the Aurora host and create cron jobs to run the maintenance jobs following the
requiredschedule

C.

Create AWS Lambda functions to run the maintenance jobs and schedule them with Amazon
CloudWatchEvents.

D.

Create the maintenance job using the Amazon CloudWatch job scheduling plugin



D.

Create the maintenance job using the Amazon CloudWatch job scheduling plugin





Question # 3

A company’s Security department established new requirements that state internal users must connect to an
existing Amazon RDS for SQL Server DB instance using their corporate Active Directory (AD) credentials. A
Database Specialist must make the modifications needed to fulfill this requirement.
Which combination of actions should the Database Specialist take? (Choose three.)

A.

Disable Transparent Data Encryption (TDE) on the RDS SQL Server DB instance.

B.

Modify the RDS SQL Server DB instance to use the directory for Windows authentication. Createappropriate new logins.

C.

Use the AWS Management Console to create an AWS Managed Microsoft AD. Create a trust
relationshipwith the corporate AD.

D.

Stop the RDS SQL Server DB instance, modify it to use the directory for Windows authentication, and
startit again. Create appropriate new logins.

E.

Use the AWS Management Console to create an AD Connector. Create a trust relationship with
thecorporate AD.



C.

Use the AWS Management Console to create an AWS Managed Microsoft AD. Create a trust
relationshipwith the corporate AD.


D.

Stop the RDS SQL Server DB instance, modify it to use the directory for Windows authentication, and
startit again. Create appropriate new logins.


E.

Use the AWS Management Console to create an AD Connector. Create a trust relationship with
thecorporate AD.





Question # 4

A company is developing a multi-tier web application hosted on AWS using Amazon Aurora as the database.
The application needs to be deployed to production and other non-production environments. A Database
Specialist needs to specify different MasterUsername and MasterUserPassword properties in the AWS
CloudFormation templates used for automated deployment. The CloudFormation templates are version
controlled in the company’s code repository. The company also needs to meet compliance requirement by
routinely rotating its database master password for production.
What is most secure solution to store the master password?

A.

Store the master password in a parameter file in each environment. Reference the environment-specific
parameter file in the CloudFormation template

B.

Encrypt the master password using an AWS KMS key. Store the encrypted master password in
theCloudFormation template

C.

Use the secretsmanager dynamic reference to retrieve the master password stored in AWS
SecretsManager and enable automatic rotation.

D.

Use the ssm dynamic reference to retrieve the master password stored in the AWS Systems
ManagerParameter Store and enable automatic rotation.



C.

Use the secretsmanager dynamic reference to retrieve the master password stored in AWS
SecretsManager and enable automatic rotation.





Question # 5

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?

A.

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

B.

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

C.

Create additional readers to cater to the different scenarios

D.

Use custom endpoints to satisfy the different workloads.



D.

Use custom endpoints to satisfy the different workloads.


Explanation:
https://aws.amazon.com/about-aws/whats-new/2018/11/amazon-aurora-simplifiesworkload-
management-with-custom-endpoints/
You can now create custom endpoints for Amazon Aurora databases. This allows you to
distribute and load balance workloads across different sets of database instances in your
Aurora cluster. For example, you may provision a set of Aurora Replicas to use an instance
type with higher memory capacity in order to run an analytics workload. A custom endpoint
can then help you route the analytics workload to these appropriately-configured instances,
while keeping other instances in your cluster isolated from this workload. As you add or
remove instances from the custom endpoint to match your workload, the endpoint helps
spread the load around.



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