AWS Certified Database - Specialty DBS-C01 Study Guide Updated For Good Learning Online

AWS Certified Database – Specialty DBS-C01 Study Guide Updated For Good Learning Online

Regina2022-07-08T01:59:38+00:00

By Regina Amazon, AWS Certified Database - Specialty, Free Questions Online DBS-C01, DBS-C01 free demo questions, DBS-C01 study guide

Earning the AWS Certified Database – Specialty certification can help you validate expertise in recommending, designing, and maintaining optimal AWS database solutions. And every IT student must know that the written exam is DBS-C01. We have updated the DBS-C01 study guide with the practice questions and answers for your good learning. The most updated DBS-C01 study guide was made by the top team, who collected all the matched questions and answers based on the exam objectives. We ensure that you can prepare for the DBS-C01 AWS Certified Database – Specialty exam well with the online DBS-C01 study guide.

You can read DBS-C01 free exam demo questions before choosing the DBS-C01 study guide:

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1. A company has deployed an e-commerce web application in a new AWS account. An Amazon RDS for MySQL Multi-AZ DB instance is part of this deployment with a database-1.xxxxxxxxxxxx.us-east-1.rds.amazonaws.com endpoint listening on port 3306. The company’s Database Specialist is able to log in to MySQL and run queries from the bastion host using these details.

When users try to utilize the application hosted in the AWS account, they are presented with a generic error message. The application servers are logging a “could not connect to server: Connection times out” error message to Amazon CloudWatch Logs.

What is the cause of this error?

The user name and password the application is using are incorrect.

The security group assigned to the application servers does not have the necessary rules to allow inbound connections from the DB instance.

The security group assigned to the DB instance does not have the necessary rules to allow inbound connections from the application servers.

The user name and password are correct, but the user is not authorized to use the DB instance.

2. 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?

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.

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.

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.

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.

3. A company has an Amazon RDS Multi-AZ DB instances that is 200 GB in size with an RPO of 6 hours. To meet the company’s disaster recovery policies, the database backup needs to be copied into another Region. The company requires the solution to be cost-effective and operationally efficient.

What should a Database Specialist do to copy the database backup into a different Region?

Use Amazon RDS automated snapshots and use AWS Lambda to copy the snapshot into another Region

Use Amazon RDS automated snapshots every 6 hours and use Amazon S3 cross-Region replication to copy the snapshot into another Region

Create an AWS Lambda function to take an Amazon RDS snapshot every 6 hours and use a second Lambda function to copy the snapshot into another Region

Create a cross-Region read replica for Amazon RDS in another Region and take an automated snapshot of the read replica

4. A gaming company is designing a mobile gaming app that will be accessed by many users across the globe. The company wants to have replication and full support for multi-master writes. The company also wants to ensure low latency and consistent performance for app users.

Which solution meets these requirements?

Use Amazon DynamoDB global tables for storage and enable DynamoDB automatic scaling

Use Amazon Aurora for storage and enable cross-Region Aurora Replicas

Use Amazon Aurora for storage and cache the user content with Amazon ElastiCache

Use Amazon Neptune for storage

5. After restoring an Amazon RDS snapshot from 3 days ago, a company’s Development team cannot connect to the restored RDS DB instance.

What is the likely cause of this problem?

The restored DB instance does not have Enhanced Monitoring enabled

The production DB instance is using a custom parameter group

The restored DB instance is using the default security group

The production DB instance is using a custom option group

6. A manufacturing company’s website uses an Amazon Aurora PostgreSQL DB cluster.

Which configurations will result in the LEAST application downtime during a failover? (Choose three.)

Use the provided read and write Aurora endpoints to establish a connection to the Aurora DB cluster.

Create an Amazon CloudWatch alert triggering a restore in another Availability Zone when the primary Aurora DB cluster is unreachable.

Edit and enable Aurora DB cluster cache management in parameter groups.

Set TCP keepalive parameters to a high value.

Set JDBC connection string timeout variables to a low value.

Set Java DNS caching timeouts to a high value.

7. An IT consulting company wants to reduce costs when operating its development environment databases. The company’s workflow creates multiple Amazon Aurora MySQL DB clusters for each development group. The Aurora DB clusters are only used for 8 hours a day. The DB clusters can then be deleted at the end of the development cycle, which lasts 2 weeks.

Which of the following provides the MOST cost-effective solution?

Use AWS CloudFormation templates. Deploy a stack with the DB cluster for each development group. Delete the stack at the end of the development cycle.

Use the Aurora DB cloning feature. Deploy a single development and test Aurora DB instance, and create clone instances for the development groups. Delete the clones at the end of the development cycle.

Use Aurora Replicas. From the master automatic pause compute capacity option, create replicas for each development group, and promote each replica to master. Delete the replicas at the end of the development cycle.

Use Aurora Serverless. Restore current Aurora snapshot and deploy to a serverless cluster for each development group. Enable the option to pause the compute capacity on the cluster and set an appropriate timeout.

8. 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?

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.

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.

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.

Create an AWS Lambda function that builds the required objects using an AWS SD

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.

9. A company is looking to migrate a 1 TB Oracle database from on-premises to an Amazon Aurora PostgreSQL DB cluster. The company’s Database Specialist discovered that the Oracle database is storing 100 GB of large binary objects (LOBs) across multiple tables. The Oracle database has a maximum LOB size of 500 MB with an average LOB size of 350 MB. The Database Specialist has chosen AWS DMS to migrate the data with the largest replication instances.

How should the Database Specialist optimize the database migration using AWS DMS?

Create a single task using full LOB mode with a LOB chunk size of 500 MB to migrate the data and LOBs together

Create two tasks: task1 with LOB tables using full LOB mode with a LOB chunk size of 500 MB and task2 without LOBs

Create two tasks: task1 with LOB tables using limited LOB mode with a maximum LOB size of 500 MB and task 2 without LOBs

Create a single task using limited LOB mode with a maximum LOB size of 500 MB to migrate data and LOBs together

10. A company is using an Amazon Aurora PostgreSQL DB cluster with an xlarge primary instance master and two large Aurora Replicas for high availability and read-only workload scaling. A failover event occurs and application performance is poor for several minutes. During this time, application servers in all Availability Zones are healthy and responding normally.

What should the company do to eliminate this application performance issue?

Configure both of the Aurora Replicas to the same instance class as the primary DB instance. Enable cache coherence on the DB cluster, set the primary DB instance failover priority to tier-0, and assign a failover priority of tier-1 to the replicas.

Deploy an AWS Lambda function that calls the DescribeDBInstances action to establish which instance has failed, and then use the PromoteReadReplica operation to promote one Aurora Replica to be the primary DB instance. Configure an Amazon RDS event subscription to send a notification to an Amazon SNS topic to which the Lambda function is subscribed.

Configure one Aurora Replica to have the same instance class as the primary DB instance. Implement Aurora PostgreSQL DB cluster cache management. Set the failover priority to tier-0 for the primary DB instance and one replica with the same instance class. Set the failover priority to tier-1 for the other replicas.

Configure both Aurora Replicas to have the same instance class as the primary DB instance. Implement Aurora PostgreSQL DB cluster cache management. Set the failover priority to tier-0 for the primary DB instance and to tier-1 for the replicas.

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11. A company wants to automate the creation of secure test databases with random credentials to be stored safely for later use. The credentials should have sufficient information about each test database to initiate a connection and perform automated credential rotations. The credentials should not be logged or stored anywhere in an unencrypted form.

Which steps should a Database Specialist take to meet these requirements using an AWS CloudFormation template?

Create the database with the MasterUserName and MasterUserPassword properties set to the default values. Then, create the secret with the user name and password set to the same default values. Add a Secret Target Attachment resource with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database. Finally, update the secret’s password value with a randomly generated string set by the GenerateSecretString property.

Add a Mapping property from the database Amazon Resource Name (ARN) to the secret AR

Then, create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add the database with the MasterUserName and MasterUserPassword properties set to the user name of the secret.

Add a resource of type AWS::SecretsManager::Secret and specify the GenerateSecretString property. Then, define the database user name in the SecureStringTemplate template. Create a resource for the database and reference the secret string for the MasterUserName and MasterUserPassword properties. Then, add a resource of type AWS::SecretsManagerSecretTargetAttachment with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database.

Create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add an SecretTargetAttachment resource with the SecretId property set to the Amazon Resource Name (ARN) of the secret and the TargetId property set to a parameter value matching the desired database AR

Then, create a database with the MasterUserName and MasterUserPassword properties set to the previously created values in the secret.

12. A company maintains several databases using Amazon RDS for MySQL and PostgreSQL. Each RDS database generates log files with retention periods set to their default values. The company has now mandated that database logs be maintained for up to 90 days in a centralized repository to facilitate real-time and after-the-fact analyses.

What should a Database Specialist do to meet these requirements with minimal effort?

Create an AWS Lambda function to pull logs from the RDS databases and consolidate the log files in an Amazon S3 bucket. Set a lifecycle policy to expire the objects after 90 days.

Modify the RDS databases to publish log to Amazon CloudWatch Logs. Change the log retention policy for each log group to expire the events after 90 days.

Write a stored procedure in each RDS database to download the logs and consolidate the log files in an Amazon S3 bucket. Set a lifecycle policy to expire the objects after 90 days.

Create an AWS Lambda function to download the logs from the RDS databases and publish the logs to Amazon CloudWatch Logs. Change the log retention policy for the log group to expire the events after 90 days.

13. A company is concerned about the cost of a large-scale, transactional application using Amazon DynamoDB that only needs to store data for 2 days before it is deleted. In looking at the tables, a Database Specialist notices that much of the data is months old, and goes back to when the application was first deployed.

What can the Database Specialist do to reduce the overall cost?

Create a new attribute in each table to track the expiration time and create an AWS Glue transformation to delete entries more than 2 days old.

Create a new attribute in each table to track the expiration time and enable DynamoDB Streams on each table.

Create a new attribute in each table to track the expiration time and enable time to live (TTL) on each table.

Create an Amazon CloudWatch Events event to export the data to Amazon S3 daily using AWS Data Pipeline and then truncate the Amazon DynamoDB table.

14. A company is looking to move an on-premises IBM Db2 database running AIX on an IBM POWER7 server. Due to escalating support and maintenance costs, the company is exploring the option of moving the workload to an Amazon Aurora PostgreSQL DB cluster.

What is the quickest way for the company to gather data on the migration compatibility?

Perform a logical dump from the Db2 database and restore it to an Aurora DB cluster. Identify the gaps and compatibility of the objects migrated by comparing row counts from source and target tables.

Run AWS DMS from the Db2 database to an Aurora DB cluster. Identify the gaps and compatibility of the objects migrated by comparing the row counts from source and target tables.

Run native PostgreSQL logical replication from the Db2 database to an Aurora DB cluster to evaluate the migration compatibility.

Run the AWS Schema Conversion Tool (AWS SCT) from the Db2 database to an Aurora DB cluster. Create a migration assessment report to evaluate the migration compatibility.

15. 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?

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

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.

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.

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.

16. A user has a non-relational key-value database. The user is looking for a fully managed AWS service that will offload the administrative burdens of operating and scaling distributed databases. The solution must be cost-effective and able to handle unpredictable application traffic.

What should a Database Specialist recommend for this user?

Create an Amazon DynamoDB table with provisioned capacity mode

Create an Amazon DocumentDB cluster

Create an Amazon DynamoDB table with on-demand capacity mode

Create an Amazon Aurora Serverless DB cluster

17. A global digital advertising company captures browsing metadata to contextually display relevant images, pages, and links to targeted users. A single page load can generate multiple events that need to be stored individually. The maximum size of an event is 200 KB and the average size is 10 KB. Each page load must query the user’s browsing history to provide targeting recommendations. The advertising company expects over 1 billion page visits per day from users in the United States, Europe, Hong Kong, and India. The structure of the metadata varies depending on the event. Additionally, the browsing metadata must be written and read with very low latency to ensure a good viewing experience for the users.

Which database solution meets these requirements?

Amazon DocumentDB

Amazon RDS Multi-AZ deployment

Amazon DynamoDB global table

Amazon Aurora Global Database

18. A Database Specialist is designing a new database infrastructure for a ride hailing application. The application data includes a ride tracking system that stores GPS coordinates for all rides. Real-time statistics and metadata lookups must be performed with high throughput and microsecond latency. The database should be fault tolerant with minimal operational overhead and development effort.

Which solution meets these requirements in the MOST efficient way?

Use Amazon RDS for MySQL as the database and use Amazon ElastiCache

Use Amazon DynamoDB as the database and use DynamoDB Accelerator

Use Amazon Aurora MySQL as the database and use Aurora’s buffer cache

Use Amazon DynamoDB as the database and use Amazon API Gateway

19. A company is running an Amazon RDS for PostgeSQL DB instance and wants to migrate it to an Amazon Aurora PostgreSQL DB cluster. The current database is 1 TB in size. The migration needs to have minimal downtime.

What is the FASTEST way to accomplish this?

Create an Aurora PostgreSQL DB cluster. Set up replication from the source RDS for PostgreSQL DB instance using AWS DMS to the target DB cluster.

Use the pg_dump and pg_restore utilities to extract and restore the RDS for PostgreSQL DB instance to the Aurora PostgreSQL DB cluster.

Create a database snapshot of the RDS for PostgreSQL DB instance and use this snapshot to create the Aurora PostgreSQL DB cluster.

Migrate data from the RDS for PostgreSQL DB instance to an Aurora PostgreSQL DB cluster using an Aurora Replica. Promote the replica during the cutover.

20. A gaming company wants to deploy a game in multiple Regions. The company plans to save local high scores in Amazon DynamoDB tables in each Region. A Database Specialist needs to design a solution to automate the deployment of the database with identical configurations in additional Regions, as needed. The solution should also automate configuration changes across all Regions.

Which solution would meet these requirements and deploy the DynamoDB tables?

Create an AWS CLI command to deploy the DynamoDB table to all the Regions and save it for future deployments.

Create an AWS CloudFormation template and deploy the template to all the Regions.

Create an AWS CloudFormation template and use a stack set to deploy the template to all the Regions.

Create DynamoDB tables using the AWS Management Console in all the Regions and create a step-by-step guide for future deployments.

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21. A company is load testing its three-tier production web application deployed with an AWS CloudFormation template on AWS. The Application team is making changes to deploy additional Amazon EC2 and AWS Lambda resources to expand the load testing capacity. A Database Specialist wants to ensure that the changes made by the Application team will not change the Amazon RDS database resources already deployed.

Which combination of steps would allow the Database Specialist to accomplish this? (Choose two.)

Review the stack drift before modifying the template

Create and review a change set before applying it

Export the database resources as stack outputs

Define the database resources in a nested stack

Set a stack policy for the database resources

22. A company has a database monitoring solution that uses Amazon CloudWatch for its Amazon RDS for SQL Server environment. The cause of a recent spike in CPU utilization was not determined using the standard metrics that were collected. The CPU spike caused the application to perform poorly, impacting users. A Database Specialist needs to determine what caused the CPU spike.

Which combination of steps should be taken to provide more visibility into the processes and queries running during an increase in CPU load? (Choose two.)

Enable Amazon CloudWatch Events and view the incoming T-SQL statements causing the CPU to spike.

Enable Enhanced Monitoring metrics to view CPU utilization at the RDS SQL Server DB instance level.

Implement a caching layer to help with repeated queries on the RDS SQL Server DB instance.

Use Amazon QuickSight to view the SQL statement being run.

Enable Amazon RDS Performance Insights to view the database load and filter the load by waits, SQL statements, hosts, or users.

23. A company is going to use an Amazon Aurora PostgreSQL DB cluster for an application backend. The DB cluster contains some tables with sensitive data. A Database Specialist needs to control the access privileges at the table level.

How can the Database Specialist meet these requirements?

Use AWS IAM database authentication and restrict access to the tables using an IAM policy.

Configure the rules in a NACL to restrict outbound traffic from the Aurora DB cluster.

Execute GRANT and REVOKE commands that restrict access to the tables containing sensitive data.

Define access privileges to the tables containing sensitive data in the pg_hba.conf file.

24. A Database Specialist is planning to create a read replica of an existing Amazon RDS for MySQL Multi-AZ DB instance. When using the AWS Management Console to conduct this task, the Database Specialist discovers that the source RDS DB instance does not appear in the read replica source selection box, so the read replica cannot be created.

What is the most likely reason for this?

The source DB instance has to be converted to Single-AZ first to create a read replica from it.

Enhanced Monitoring is not enabled on the source DB instance.

The minor MySQL version in the source DB instance does not support read replicas.

Automated backups are not enabled on the source DB instance.

25. A company is about to launch a new product, and test databases must be re-created from production data. 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?

Restore a snapshot from the production cluster into test clusters

Create logical dumps of the production cluster and restore them into new test clusters

Use database cloning to create clones of the production cluster

Add an additional read replica to the production cluster and use that node for testing

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AWS Certified Database – Specialty DBS-C01 Study Guide Updated For Good Learning Online

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