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DBS-C01: AWS Certified Database - Specialty

AWS Certified Database - Specialty
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AWS Certified Database - Specialty Exam Questions: 321
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The AWS Certified Database – Specialty (DBS-C01) exam is a crucial certification for anyone aiming to advance their career in database management on AWS. Our topic is your ultimate resource for DBS-C01 practice test shared by individuals who have successfully passed the exam. These practice tests provide real-world scenarios and invaluable insights to help you ace your preparation.

Why Use DBS-C01 Practice Test?

  • Real Exam Experience: Our practice test accurately replicates the format and difficulty of the actual AWS DBS-C01 exam, providing you with a realistic preparation experience.

  • Identify Knowledge Gaps: Practicing with these tests helps you identify areas where you need more study, allowing you to focus your efforts effectively.

  • Boost Confidence: Regular practice with exam-like questions builds your confidence and reduces test anxiety.

  • Track Your Progress: Monitor your performance over time to see your improvement and adjust your study plan accordingly.

Key Features of DBS-C01 Practice Test:

  • Up-to-Date Content: Our community ensures that the questions are regularly updated to reflect the latest exam objectives and technology trends.

  • Detailed Explanations: Each question comes with detailed explanations, helping you understand the correct answers and learn from any mistakes.

  • Comprehensive Coverage: The practice test covers all key topics of the AWS DBS-C01 exam, including database design, management, security, and migration strategies.

  • Customizable Practice: Create your own practice sessions based on specific topics or difficulty levels to tailor your study experience to your needs.

Exam number: DBS-C01

Exam name: AWS Certified Database – Specialty

Length of test: 180 minutes

Exam format: Multiple-choice and multiple-response questions.

Exam language: English

Number of questions in the actual exam: Maximum of 65 questions

Passing score: 750/1000

Use the member-shared AWS DBS-C01 Practice Test to ensure you’re fully prepared for your certification exam. Start practicing today and take a significant step towards achieving your certification goals!

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A company has a production Amazon Aurora Db cluster that serves both online transaction processing (OLTP) transactions and compute-intensive reports. The reports run for 10% of the total cluster uptime while the OLTP transactions run all the time. The company has benchmarked its workload and determined that a six-node Aurora DB cluster is appropriate for the peak workload.

The company is now looking at cutting costs for this DB cluster, but needs to have a sufficient number of nodes in the cluster to support the workload at different times. The workload has not changed since the previous benchmarking exercise.

How can a Database Specialist address these requirements with minimal user involvement?

A.
Split up the DB cluster into two different clusters: one for OLTP and the other for reporting. Monitor and set up replication between the two clusters to keep data consistent.
A.
Split up the DB cluster into two different clusters: one for OLTP and the other for reporting. Monitor and set up replication between the two clusters to keep data consistent.
Answers
B.
Review all evaluate the peak combined workload. Ensure that utilization of the DB cluster node is at an acceptable level. Adjust the number of instances, if necessary.
B.
Review all evaluate the peak combined workload. Ensure that utilization of the DB cluster node is at an acceptable level. Adjust the number of instances, if necessary.
Answers
C.
Use the stop cluster functionality to stop all the nodes of the DB cluster during times of minimal workload. The cluster can be restarted again depending on the workload at the time.
C.
Use the stop cluster functionality to stop all the nodes of the DB cluster during times of minimal workload. The cluster can be restarted again depending on the workload at the time.
Answers
D.
Set up automatic scaling on the DB cluster. This will allow the number of reader nodes to adjust automatically to the reporting workload, when needed.
D.
Set up automatic scaling on the DB cluster. This will allow the number of reader nodes to adjust automatically to the reporting workload, when needed.
Answers
Suggested answer: D

Explanation:


asked 16/09/2024
Elliott Fields
34 questions

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A company has an on-premises system that tracks various database operations that occur over the lifetime of a database, including database shutdown, deletion, creation, and backup.

The company recently moved two databases to Amazon RDS and is looking at a solution that would satisfy these requirements. The data could be used by other systems within the company.

Which solution will meet these requirements with minimal effort?

A.
Create an Amazon Cloudwatch Events rule with the operations that need to be tracked on Amazon RDS. Create an AWS Lambda function to act on these rules and write the output to the tracking systems.
A.
Create an Amazon Cloudwatch Events rule with the operations that need to be tracked on Amazon RDS. Create an AWS Lambda function to act on these rules and write the output to the tracking systems.
Answers
B.
Create an AWS Lambda function to trigger on AWS CloudTrail API calls. Filter on specific RDS API calls and write the output to the tracking systems.
B.
Create an AWS Lambda function to trigger on AWS CloudTrail API calls. Filter on specific RDS API calls and write the output to the tracking systems.
Answers
C.
Create RDS event subscriptions. Have the tracking systems subscribe to specific RDS event system notifications.
C.
Create RDS event subscriptions. Have the tracking systems subscribe to specific RDS event system notifications.
Answers
D.
Write RDS logs to Amazon Kinesis Data Firehose. Create an AWS Lambda function to act on these rules and write the output to the tracking systems.
D.
Write RDS logs to Amazon Kinesis Data Firehose. Create an AWS Lambda function to act on these rules and write the output to the tracking systems.
Answers
Suggested answer: C

Explanation:


asked 16/09/2024
Arno Rodenhuis
49 questions

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A Database Specialist is creating Amazon DynamoDB tables, Amazon CloudWatch alarms, and associated infrastructure for an Application team using a development AWS account. The team wants a deployment method that will standardize the core solution components while managing environment-specific settings separately, and wants to minimize rework due to configuration errors.

Which process should the Database Specialist recommend to meet these requirements?

A.
Organize common and environmental-specific parameters hierarchically in the AWS Systems Manager Parameter Store, then reference the parameters dynamically from an AWS CloudFormation template. Deploy the CloudFormation stack using the environment name as a parameter.
A.
Organize common and environmental-specific parameters hierarchically in the AWS Systems Manager Parameter Store, then reference the parameters dynamically from an AWS CloudFormation template. Deploy the CloudFormation stack using the environment name as a parameter.
Answers
B.
Create a parameterized AWS CloudFormation template that builds the required objects. Keep separate environment parameter files in separate Amazon S3 buckets. Provide an AWS CLI command that deploys the CloudFormation stack directly referencing the appropriate parameter bucket.
B.
Create a parameterized AWS CloudFormation template that builds the required objects. Keep separate environment parameter files in separate Amazon S3 buckets. Provide an AWS CLI command that deploys the CloudFormation stack directly referencing the appropriate parameter bucket.
Answers
C.
Create a parameterized AWS CloudFormation template that builds the required objects. Import the template into the CloudFormation interface in the AWS Management Console. Make the required changes to the parameters and deploy the CloudFormation stack.
C.
Create a parameterized AWS CloudFormation template that builds the required objects. Import the template into the CloudFormation interface in the AWS Management Console. Make the required changes to the parameters and deploy the CloudFormation stack.
Answers
D.
Create an AWS Lambda function that builds the required objects using an AWS SDK. Set the required parameter values in a test event in the Lambda console for each environment that the Application team can modify, as needed. Deploy the infrastructure by triggering the test event in the console.
D.
Create an AWS Lambda function that builds the required objects using an AWS SDK. Set the required parameter values in a test event in the Lambda console for each environment that the Application team can modify, as needed. Deploy the infrastructure by triggering the test event in the console.
Answers
Suggested answer: A

Explanation:


https://aws.amazon.com/blogs/mt/integrating-aws-cloudformation-with-aws-systems-manager-parameter-store/

asked 16/09/2024
Heng Tan
30 questions

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A large financial services company uses Amazon ElastiCache for Redis for its new application that has a global user base. A database administrator must develop a caching solution that will be available across AWS Regions and include low-latency replication and failover capabilities for disaster recovery (DR). The company's security team requires the encryption of cross-Region data transfers.

Which solution meets these requirements with the LEAST amount of operational effort?

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An ecommerce company uses Amazon DynamoDB as the backend for its payments system. A new regulation requires the company to log all data access requests for financial audits. For this purpose, the company plans to use AWS logging and save logs to Amazon S3 How can a database specialist activate logging on the database?

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A company needs to migrate Oracle Database Standard Edition running on an Amazon EC2 instance to an Amazon RDS for Oracle DB instance with Multi-AZ. The database supports an ecommerce website that runs continuously. The company can only provide a maintenance window of up to 5 minutes.

Which solution will meet these requirements?

A.
Configure Oracle Real Application Clusters (RAC) on the EC2 instance and the RDS DB instance. Update the connection string to point to the RAC cluster. Once the EC2 instance and RDS DB instance are in sync, fail over from Amazon EC2 to Amazon RDS.
A.
Configure Oracle Real Application Clusters (RAC) on the EC2 instance and the RDS DB instance. Update the connection string to point to the RAC cluster. Once the EC2 instance and RDS DB instance are in sync, fail over from Amazon EC2 to Amazon RDS.
Answers
B.
Export the Oracle database from the EC2 instance using Oracle Data Pump and perform an import into Amazon RDS. Stop the application for the entire process. When the import is complete, change the database connection string and then restart the application.
B.
Export the Oracle database from the EC2 instance using Oracle Data Pump and perform an import into Amazon RDS. Stop the application for the entire process. When the import is complete, change the database connection string and then restart the application.
Answers
C.
Configure AWS DMS with the EC2 instance as the source and the RDS DB instance as the destination. Stop the application when the replication is in sync, change the database connection string, and then restart the application.
C.
Configure AWS DMS with the EC2 instance as the source and the RDS DB instance as the destination. Stop the application when the replication is in sync, change the database connection string, and then restart the application.
Answers
D.
Configure AWS DataSync with the EC2 instance as the source and the RDS DB instance as the destination. Stop the application when the replication is in sync, change the database connection string, and then restart the application.
D.
Configure AWS DataSync with the EC2 instance as the source and the RDS DB instance as the destination. Stop the application when the replication is in sync, change the database connection string, and then restart the application.
Answers
Suggested answer: C

Explanation:


Reference: https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_UpgradeDBInstance.Oracle.html

asked 16/09/2024
Martin Mannsbarth
32 questions

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A company wants to migrate its existing on-premises Oracle database to Amazon Aurora PostgreSQL.

The migration must be completed with minimal downtime using AWS DMS. A Database Specialist must validate that the data was migrated accurately from the source to the target before the cutover.

The migration must have minimal impact on the performance of the source database.

Which approach will MOST effectively meet these requirements?

A.
Use the AWS Schema Conversion Tool (AWS SCT) to convert source Oracle database schemas to the target Aurora DB cluster. Verify the datatype of the columns.
A.
Use the AWS Schema Conversion Tool (AWS SCT) to convert source Oracle database schemas to the target Aurora DB cluster. Verify the datatype of the columns.
Answers
B.
Use the table metrics of the AWS DMS task created for migrating the data to verify the statistics for the tables being migrated and to verify that the data definition language (DDL) statements are completed.
B.
Use the table metrics of the AWS DMS task created for migrating the data to verify the statistics for the tables being migrated and to verify that the data definition language (DDL) statements are completed.
Answers
C.
Enable the AWS Schema Conversion Tool (AWS SCT) premigration validation and review the premigration checklist to make sure there are no issues with the conversion.
C.
Enable the AWS Schema Conversion Tool (AWS SCT) premigration validation and review the premigration checklist to make sure there are no issues with the conversion.
Answers
D.
Enable AWS DMS data validation on the task so the AWS DMS task compares the source and target records, and reports any mismatches.
D.
Enable AWS DMS data validation on the task so the AWS DMS task compares the source and target records, and reports any mismatches.
Answers
Suggested answer: D

Explanation:


"To ensure that your data was migrated accurately from the source to the target, we highly recommend that you use data validation."

https://docs.aws.amazon.com/dms/latest/userguide/CHAP_BestPractices.html

Reference: https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Validating.html

asked 16/09/2024
Jason Coleman
39 questions

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A company is about to launch a new product, and test databases must be re-created from production dat a. The company runs its production databases on an Amazon Aurora MySQL DB cluster. A Database Specialist needs to deploy a solution to create these test databases as quickly as possible with the least amount of administrative effort.

What should the Database Specialist do to meet these requirements?

A.
Restore a snapshot from the production cluster into test clusters
A.
Restore a snapshot from the production cluster into test clusters
Answers
B.
Create logical dumps of the production cluster and restore them into new test clusters
B.
Create logical dumps of the production cluster and restore them into new test clusters
Answers
C.
Use database cloning to create clones of the production cluster
C.
Use database cloning to create clones of the production cluster
Answers
D.
Add an additional read replica to the production cluster and use that node for testing
D.
Add an additional read replica to the production cluster and use that node for testing
Answers
Suggested answer: C

Explanation:


https://aws.amazon.com/getting-started/hands-on/aurora-cloning-backtracking/

"Cloning an Aurora cluster is extremely useful if you want to assess the impact of changes to your database, or if you need to perform workload-intensive operations—such as exporting data or running analytical queries, or simply if you want to use a copy of your production database in a development or testing environment. You can make multiple clones of your Aurora DB cluster. You can even create additional clones from other clones, with the constraint that the clone databases must be created in the same region as the source databases.

asked 16/09/2024
Mareah Allawi
31 questions

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A company is due for renewing its database license. The company wants to migrate its 80 TB transactional database system from on-premises to the AWS Cloud. The migration should incur the least possible downtime on the downstream database applications. The company’s network infrastructure has limited network bandwidth that is shared with other applications.

Which solution should a database specialist use for a timely migration?

A.
Perform a full backup of the source database to AWS Snowball Edge appliances and ship them to be loaded to Amazon S3. Use AWS DMS to migrate change data capture (CDC) data from the source database to Amazon S3. Use a second AWS DMS task to migrate all the S3 data to the target database.
A.
Perform a full backup of the source database to AWS Snowball Edge appliances and ship them to be loaded to Amazon S3. Use AWS DMS to migrate change data capture (CDC) data from the source database to Amazon S3. Use a second AWS DMS task to migrate all the S3 data to the target database.
Answers
B.
Perform a full backup of the source database to AWS Snowball Edge appliances and ship them to be loaded to Amazon S3. Periodically perform incremental backups of the source database to be shipped in another Snowball Edge appliance to handle syncing change data capture (CDC) data from the source to the target database.
B.
Perform a full backup of the source database to AWS Snowball Edge appliances and ship them to be loaded to Amazon S3. Periodically perform incremental backups of the source database to be shipped in another Snowball Edge appliance to handle syncing change data capture (CDC) data from the source to the target database.
Answers
C.
Use AWS DMS to migrate the full load of the source database over a VPN tunnel using the internet for its primary connection. Allow AWS DMS to handle syncing change data capture (CDC) data from the source to the target database.
C.
Use AWS DMS to migrate the full load of the source database over a VPN tunnel using the internet for its primary connection. Allow AWS DMS to handle syncing change data capture (CDC) data from the source to the target database.
Answers
D.
Use the AWS Schema Conversion Tool (AWS SCT) to migrate the full load of the source database over a VPN tunnel using the internet for its primary connection. Allow AWS SCT to handle syncing change data capture (CDC) data from the source to the target database.
D.
Use the AWS Schema Conversion Tool (AWS SCT) to migrate the full load of the source database over a VPN tunnel using the internet for its primary connection. Allow AWS SCT to handle syncing change data capture (CDC) data from the source to the target database.
Answers
Suggested answer: A

Explanation:


https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Target.S3.html Using Amazon S3 as atarget for AWS Database Migration Service

asked 16/09/2024
Sivagami Narayanan
49 questions

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A Database Specialist modified an existing parameter group currently associated with a production Amazon RDS for SQL Server Multi-AZ DB instance. The change is associated with a static parameter type, which controls the number of user connections allowed on the most critical RDS SQL Server DB instance for the company. This change has been approved for a specific maintenance window to help minimize the impact on users. How should the Database Specialist apply the parameter group change for the DB instance?

A.
Select the option to apply the change immediately
A.
Select the option to apply the change immediately
Answers
B.
Allow the preconfigured RDS maintenance window for the given DB instance to control when the change is applied
B.
Allow the preconfigured RDS maintenance window for the given DB instance to control when the change is applied
Answers
C.
Apply the change manually by rebooting the DB instance during the approved maintenance window
C.
Apply the change manually by rebooting the DB instance during the approved maintenance window
Answers
D.
Reboot the secondary Multi-AZ DB instance
D.
Reboot the secondary Multi-AZ DB instance
Answers
Suggested answer: C

Explanation:


https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_WorkingWithParamGroups.html#USER_WorkingWithParamGroups.Modifying

asked 16/09/2024
Troy Borders
31 questions
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