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The AWS Certified Database - Specialty (DBS-C01) exam is intended for individuals who have experience with AWS services and hands-on experience with databases. The exam measures an individual's ability to understand and apply best practices for designing, deploying, and managing databases on AWS. It also tests their ability to leverage AWS services to improve database performance and scalability.

The DBS-C01 exam is a certification exam for individuals who want to demonstrate their skills and knowledge of AWS database technologies. This certification is intended for database administrators, data engineers, solutions architects, and anyone interested in working with AWS database services. The exam is designed to test your knowledge of the design, management, and use of database services on the AWS platform.

The AWS Certified Database - Specialty (DBS-C01) exam is recognized as one of the most valuable certifications in the IT industry, especially for those who work on AWS. The certification validates the skills and knowledge of database professionals, which is highly sought after by employers. It also provides an opportunity for professionals to enhance their career prospects and increase their earning potential. With the increasing demand for cloud-based database solutions, the AWS Certified Database - Specialty (DBS-C01) certification has become an essential requirement for database professionals who want to stay relevant in the industry.

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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q155-Q160):

NEW QUESTION # 155
To meet new data compliance requirements, a company needs to keep critical data durably stored and readily accessible for 7 years. Data that is more than 1 year old is considered archival data and must automatically be moved out of the Amazon Aurora MySQL DB cluster every week. On average, around 10 GB of new data is added to the database every month. A database specialist must choose the most operationally efficient solution to migrate the archival data to Amazon S3.
Which solution meets these requirements?

A. Use AWS Database Migration Service (AWS DMS) to continually export the archival data from the DB cluster to Amazon S3. Configure an AWS Data Pipeline process to run weekly that executes a custom SQL script to delete the archival data from the DB cluster.B. Configure an AWS Lambda function that exports archival data from the DB cluster to Amazon S3 using a SELECT INTO OUTFILE S3 statement, then deletes the archival data from the DB cluster. Schedule the Lambda function to run weekly using Amazon EventBridge (Amazon CloudWatch Events).C. Configure two AWS Lambda functions: one that exports archival data from the DB cluster to Amazon S3 using the mysqldump utility, and another that deletes the archival data from the DB cluster. Schedule both Lambda functions to run weekly using Amazon EventBridge (Amazon CloudWatch Events).D. Create a custom script that exports archival data from the DB cluster to Amazon S3 using a SQL view, then deletes the archival data from the DB cluster. Launch an Amazon EC2 instance with a weekly cron job to execute the custom script.

Answer: B

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Integrating.SaveIntoS3.html

NEW QUESTION # 156
A database specialist is working on an Amazon RDS for PostgreSQL DB instance that is experiencing application performance issues due to the addition of new workloads.
The database has SSD of storage space with Provisioned IOPS.
Amazon CloudWatch metrics show that the average disk queue depth is greater than 200 and that the disk I/O response time is significantly higher than usual.
What should the database specialist do to improve the performance of the application immediately?

A. Create a read replica to offload Read IOPS from the DB instance.B. Use General Purpose SSD (gp2) storage with burst credits.C. Increase the Provisioned IOPS rate on the storage.D. Increase the available storage space.

Answer: C

NEW QUESTION # 157
A startup company in the travel industry wants to create an application that includes a personal travel assistant to display information for nearby airports based on user location. The application will use Amazon DynamoDB and must be able to access and display attributes such as airline names, arrival times, and flight numbers. However, the application must not be able to access or display pilot names or passenger counts.
Which solution will meet these requirements MOST cost-effectively?

A. Use DynamoDB resource policies to regulate access to specific tables, items, and attributes.B. Use a proxy tier between the application and DynamoDB to regulate access to specific tables, items, and attributes.C. Configure an AWS Lambda function to extract only allowed attributes from tables based on user profiles.D. Use IAM policies with a combination of IAM conditions and actions to implement fine-grained access control.

Answer: D

Explanation:
https://aws.amazon.com/blogs/aws/fine-grained-access-control-for-amazon-dynamodb/

NEW QUESTION # 158
A company is running an Amazon RDS for MySQL Multi-AZ DB instance for a business-critical workload.
RDS encryption for the DB instance is disabled. A recent security audit concluded that all business-critical applications must encrypt data at rest. The company has asked its database specialist to formulate a plan to accomplish this for the DB instance.
Which process should the database specialist recommend?

A. Create a new RDS for MySQL DB instance with encryption enabled. Restore the unencrypted snapshot to this DB instance.B. Create a snapshot of the unencrypted DB instance. Create an encrypted copy of the snapshot. Restore the DB instance from the encrypted snapshot.C. Create an encrypted snapshot of the unencrypted DB instance. Copy the encrypted snapshot to Amazon S3. Restore the DB instance from the encrypted snapshot using Amazon S3.D. Temporarily shut down the unencrypted DB instance. Enable AWS KMS encryption in the AWS Management Console using an AWS managed CMK. Restart the DB instance in an encrypted state.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Overview.Encryption.html#Overview.Encryption.L

NEW QUESTION # 159
A company is building a new web platform where user requests trigger an AWS Lambda function that performs an insert into an Amazon Aurora MySQL DB cluster. Initial tests with less than 10 users on the new platform yielded successful execution and fast response times. However, upon more extensive tests with the actual target of 3,000 concurrent users, Lambda functions are unable to connect to the DB cluster and receive too many connections errors.
Which of the following will resolve this issue?

A. Change the DB cluster to Multi-AZB. Increase the instance size of the DB clusterC. Edit the my.cnf file for the DB cluster to increase max_connectionsD. Increase the number of Aurora Replicas

Answer: B

Explanation:
Max_connection is a formula in RDS parameter group: GREATEST({log(DBInstanceClassMemory/805306368)*45},{log(DBInstanceClassMemory/8187281408)*1000})
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Managing.Performance.html You can increase the maximum number of connections to your Aurora MySQL DB instance by scaling the instance up to a DB instance class with more memory, or by setting a larger value for the max_connections parameter in the DB parameter group for your instance, up to 16,000. You must change a larger value for the max_connections parameter in the DB parameter group, not edit my.cnf, it is not physical server hosting MySQL.

NEW QUESTION # 160
......

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