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Amazon Web Services DBS-C01 Exam With Confidence Using Practice Dumps

Exam Code:
DBS-C01
Exam Name:
AWS Certified Database - Specialty
Certification:
AWS Certified Database
Vendor:
Amazon Web Services
Questions:
324
Last Updated:
Apr 30, 2025
Exam Status:
Stable
Amazon Web Services DBS-C01

DBS-C01: AWS Certified Database Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Database - Specialty Questions and Answers

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Question 1

A ride-hailing application stores bookings in a persistent Amazon RDS for MySQL DB instance. This program is very popular, and the corporation anticipates a tenfold rise in the application's user base over the next several months. The application receives a higher volume of traffic in the morning and evening.

This application is divided into two sections:

✑ An internal booking component that takes online reservations in response to concurrent user queries.

✑ A component of a third-party customer relationship management (CRM) system that customer service professionals utilize. Booking data is accessed using queries in the CRM.

To manage this workload effectively, a database professional must create a cost-effective database system.

Which solution satisfies these criteria?

Options:

A.

Use Amazon ElastiCache for Redis to accept the bookings. Associate an AWS Lambda function to capture changes and push the booking data to the RDS for MySQL DB instance used by the CRM.

B.

Use Amazon DynamoDB to accept the bookings. Enable DynamoDB Streams and associate an AWS Lambda function to capture changes and push the booking data to an Amazon SQS queue. This triggers another Lambda function that pulls data from Amazon SQS and writes it to the RDS for MySQL DB instance used by the CRM.

C.

Use Amazon ElastiCache for Redis to accept the bookings. Associate an AWS Lambda function to capture changes and push the booking data to an Amazon Redshift database used by the CRM.

D.

Use Amazon DynamoDB to accept the bookings. Enable DynamoDB Streams and associate an AWS Lambda function to capture changes and push the booking data to Amazon Athena, which is used by the CRM.

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Question 2

A manufacturing company has an. inventory system that stores information in an Amazon Aurora MySQL DB cluster. The database tables are partitioned. The database size has grown to 3 TB. Users run one-time queries by using a SQL client. Queries that use an equijoin to join large tables are taking a long time to run.

Which action will improve query performance with the LEAST operational effort?

Options:

A.

Migrate the database to a new Amazon Redshift data warehouse.

B.

Enable hash joins on the database by setting the variable optimizer_switch to hash_join=on.

C.

Take a snapshot of the DB cluster. Create a new DB instance by using the snapshot, and enable parallel query mode.

D.

Add an Aurora read replica.

Question 3

For the first time, a database professional is establishing a test graph database on Amazon Neptune. The database expert must input millions of rows of test observations from an Amazon S3.csv file. The database professional uploaded the data to the Neptune DB instance through a series of API calls.

Which sequence of actions enables the database professional to upload the data most quickly? (Select three.)

Options:

A.

Ensure Amazon Cognito returns the proper AWS STS tokens to authenticate the Neptune DB instance to the S3 bucket hosting the CSV file.

B.

Ensure the vertices and edges are specified in different .csv files with proper header column formatting.

C.

Use AWS DMS to move data from Amazon S3 to the Neptune Loader.

D.

Curl the S3 URI while inside the Neptune DB instance and then run the addVertex or addEdge commands.

E.

Ensure an IAM role for the Neptune DB instance is configured with the appropriate permissions to allow access to the file in the S3 bucket.

F.

Create an S3 VPC endpoint and issue an HTTP POST to the databaseג€™s loader endpoint.

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