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Amazon Web Services DBS-C01 Exam Sample Questions


Question # 1

The Development team recently executed a database script containing several data definition language (DDL)
and data manipulation language (DML) statements on an Amazon Aurora MySQL DB cluster. The release
accidentally deleted thousands of rows from an important table and broke some application functionality. This
was discovered 4 hours after the release. Upon investigation, a Database Specialist tracked the issue to a
DELETE command in the script with an incorrect WHERE clause filtering the wrong set of rows.
The Aurora DB cluster has Backtrack enabled with an 8-hour backtrack window. The Database Administrator
also took a manual snapshot of the DB cluster before the release started. The database needs to be returned to
the correct state as quickly as possible to resume full application functionality. Data loss must be minimal.
How can the Database Specialist accomplish this?

A.

Quickly rewind the DB cluster to a point in time before the release using Backtrack.

B.

Perform a point-in-time recovery (PITR) of the DB cluster to a time before the release and copy the deleted rows from the restored database to the original database.

C.

Restore the DB cluster using the manual backup snapshot created before the release and change the application configuration settings to point to the new DB cluster

D.

Create a clone of the DB cluster with Backtrack enabled. Rewind the cloned cluster to a point in time before the release. Copy deleted rows from the clone to the original database



D.

Create a clone of the DB cluster with Backtrack enabled. Rewind the cloned cluster to a point in time before the release. Copy deleted rows from the clone to the original database






Question # 2

A company has an ecommerce web application with an Amazon RDS for MySQL DB
instance. The marketing team has noticed some unexpected updates to the product and
pricing information on the website, which is impacting sales targets. The marketing team
wants a database specialist to audit future database activity to help identify how and when
the changes are being made.
What should the database specialist do to meet these requirements? (Choose two.)

A.

Create an RDS event subscription to the audit event type

B.

Enable auditing of CONNECT and QUERY_DML events

C.

SSH to the DB instance and review the database logs

D.

Publish the database logs to Amazon CloudWatch Logs.

E.

Enable Enhanced Monitoring on the DB instance.



B.

Enable auditing of CONNECT and QUERY_DML events


D.

Publish the database logs to Amazon CloudWatch Logs.


Explanation: https://aws.amazon.com/blogs/database/configuring-an-audit-log-to-capturedatabase-
activities-for-amazon-rds-for-mysql-and-amazon-aurora-with-mysql-compatibility/





Question # 3

A company wants to migrate its Microsoft SQL Server Enterprise Edition database instance
from on-premises to AWS. A deep review is performed and the AWS Schema Conversion
Tool (AWS SCT) provides options for running this workload on Amazon RDS for SQL
Server Enterprise Edition, Amazon RDS for SQL Server Standard Edition, Amazon Aurora
MySQL, and Amazon Aurora PostgreSQL. The company does not want to use its own SQL
server license and does not want to change from Microsoft SQL Server.
What is the MOST cost-effective and operationally efficient solution?

A.

Run SQL Server Enterprise Edition on Amazon EC2

B.

Run SQL Server Standard Edition on Amazon RDS.

C.

Run SQL Server Enterprise Edition on Amazon RDS.

D.

Run Amazon Aurora MySQL leveraging SQL Server on Linux compatibility libraries



B.

Run SQL Server Standard Edition on Amazon RDS.


Explanation: This link seems to indicate that more information is required to determine if
the Enterprise instance is a candidate for downgrading to Standard.
https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/determine-whetheryour-
microsoft-sql-server-database-can-be-downgraded-from-enterprise-to-standardedition.
html
https://calculator.aws/#/createCalculator/RDSSQLServer





Question # 4

A Database Specialist is setting up a new Amazon Aurora DB cluster with one primary instance and three
Aurora Replicas for a highly intensive, business-critical application. The Aurora DB cluster has one
mediumsized primary instance, one large-sized replica, and two medium sized replicas. The Database
Specialist did not assign a promotion tier to the replicas.
In the event of a primary failure, what will occur?

A.

Aurora will promote an Aurora Replica that is of the same size as the primary instance

B.

Aurora will promote an arbitrary Aurora Replica

C.

Aurora will promote the largest-sized Aurora Replica

D.

Aurora will not promote an Aurora Replica



A.

Aurora will promote an Aurora Replica that is of the same size as the primary instance






Question # 5

A business need a data warehouse system that stores data consistently and in a highly
organized fashion. The organization demands rapid response times for end-user inquiries
including current-year data, and users must have access to the whole 15-year dataset
when necessary. Additionally, this solution must be able to manage a variable volume of
incoming inquiries. Costs associated with storing the 100 TB of data must be maintained to
a minimum.
Which solution satisfies these criteria?

A.

Leverage an Amazon Redshift data warehouse solution using a dense storage instance
type while keeping all the data on local Amazon Redshift storage. Provision enough
instances to support high demand

B.

Leverage an Amazon Redshift data warehouse solution using a dense storage instance
to store the most recent data. Keep historical data on Amazon S3 and access it using the
Amazon Redshift Spectrum layer. Provision enough instances to support high demand

C.

Leverage an Amazon Redshift data warehouse solution using a dense storage instance
to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Enable Amazon Redshift Concurrency Scaling.

D.

Leverage an Amazon Redshift data warehouse solution using a dense storage instance
to store the most recent data. Keep historical data on Amazon S3 and access it using the
Amazon Redshift Spectrum layer. Leverage Amazon Redshift elastic resize.



C.

Leverage an Amazon Redshift data warehouse solution using a dense storage instance
to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Enable Amazon Redshift Concurrency Scaling.


Explanation: https://docs.aws.amazon.com/redshift/latest/dg/concurrency-scaling.html
"With the Concurrency Scaling feature, you can support virtually unlimited concurrent users
and concurrent queries, with consistently fast query performance. When concurrency
scaling is enabled, Amazon Redshift automatically adds additional cluster capacity when
you need it to process an increase in concurrent read queries. Write operations continue as
normal on your main cluster. Users always see the most current data, whether the queries
run on the main cluster or on a concurrency scaling cluster. You're charged for concurrency
scaling clusters only for the time they're in use. For more information about pricing, see
Amazon Redshift pricing. You manage which queries are sent to the concurrency scaling
cluster by configuring WLM queues. When you enable concurrency scaling for a queue,
eligible queries are sent to the concurrency scaling cluster instead of waiting in line."




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