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Amazon AWS Certified Database - Specialty Exam

The AWS Certified Database - Specialty (DBS-C01) is designed for people who play a role based on the database. This exam measures the candidate's complete understanding of databases, including the concepts of design, migration, implementation, access, maintenance, automation, monitoring, security, and troubleshooting. Validate a candidate's ability to: Understand and differentiate the main features of AWS database services. Analyze the needs and requirements to design and recommend appropriate database solutions using AWS services.

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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q113-Q118):

NEW QUESTION # 113
A company is running its customer feedback application on Amazon Aurora MySQL. The company runs a report every day to extract customer feedback, and a team reads the feedback to determine if the customer comments are positive or negative. It sometimes takes days before the company can contact unhappy customers and take corrective measures. The company wants to use machine learning to automate this workflow.
Which solution meets this requirement with the LEAST amount of effort?

• A. Export the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service (AWS DMS). Use Amazon SageMaker to run sentiment analysis on the exported files.
• B. Export the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service (AWS DMS). Use Amazon Comprehend to run sentiment analysis on the exported files.
• C. Set up Aurora native integration with Amazon SageMaker. Use SQL functions to extract sentiment analysis.
• D. Set up Aurora native integration with Amazon Comprehend. Use SQL functions to extract sentiment analysis.

Answer: D

Explanation:
For details about using Aurora and Amazon Comprehend together, see Using Amazon Comprehend for sentiment detection. Aurora machine learning uses a highly optimized integration between the Aurora database and the AWS machine learning (ML) services SageMaker and Amazon Comprehend.
https://www.stackovercloud.com/2019/11/27/new-for-amazon-aurora-use-machine-learning-directly-from-your-databases/

NEW QUESTION # 114
A company has an AWS CloudFormation stack that defines an Amazon RDS DB instance. The company accidentally deletes the stack and loses recent data from the DB instance. A database specialist must change the CloudFormation template for the RDS resource to reduce the chance of accidental data loss from the DB instance in the future.
Which combination of actions should the database specialist take to meet this requirement? (Choose three.)

• A. Set the MultiAZ property to True.
• B. Set the DeletionPolicy attribute to Retain.
• C. Set the DeleteAutomatedBackups property to False.
• D. Set the DeletionPolicy attribute to No.
• E. Set the TerminationProtection property to True.
• F. Set the DeletionProtection property to True.

Answer: B,C,F

NEW QUESTION # 115
A single MySQL database was moved to Amazon Aurora by a business. The production data is stored in a database cluster in VPC PROD, whereas 12 testing environments are hosted in VPC TEST with the same AWS account. Testing has a negligible effect on the test data. The development team requires that each environment be updated nightly to ensure that each test database has daily production data.
Which migration strategy will be the quickest and least expensive to implement?

• A. Run the master in Amazon Aurora MySQL. Create 12 Aurora Replicas in VPC_TEST, and script the replicas to be deleted and re-created nightly.
• B. Run the master in Amazon Aurora MySQL. Create 12 clones in VPC_TEST, and script the clones to be deleted and re-created nightly.
• C. Run the master in Amazon Aurora MySQL. Take a nightly snapshot, and restore it into 12 databases in VPC_TEST using Aurora Serverless.
• D. Run the master in Amazon Aurora MySQL using Aurora Serverless. Create 12 clones in VPC_TEST, and script the clones to be deleted and re-created nightly.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Clone.html

NEW QUESTION # 116
A company uses Amazon Aurora for secure financial transactions. The data must always be encrypted at rest and in transit to meet compliance requirements.
Which combination of actions should a database specialist take to meet these requirements? (Choose two.)

• A. Use AWS Key Management Service (AWS KMS) to secure the in-transit connection between the financial application and the Aurora DB cluster.
• B. Take a snapshot of the Aurora DB cluster and encrypt the snapshot using an AWS Key Management Service (AWS KMS) encryption key. Restore the snapshot to a new DB cluster and update the financial application database endpoints.
• C. Create an Aurora Replica with encryption enabled using AWS Key Management Service (AWS KMS). Then promote the replica to master.
• D. Use SSL/TLS to secure the in-transit connection between the financial application and the Aurora DB cluster.
• E. Modify the existing Aurora DB cluster and enable encryption using an AWS Key Management Service (AWS KMS) encryption key. Apply the changes immediately.

Answer: D,E

NEW QUESTION # 117
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?

• A. 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.
• 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 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.
• D. 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.

Answer: B

Explanation:
"AWS Lambda function to capture changes" capture changes to what? ElastiCache? The main use of ElastiCache is to cache frequently read data. Also "the company expects a tenfold increase in the user base" and "correspond to simultaneous requests from users"

NEW QUESTION # 118
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