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?

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

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

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

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

A large company is using an Amazon RDS for Oracle Multi-AZ DB instance with a Java application. As a part of its disaster recovery annual testing, the company would like to simulate an Availability Zone failure and record how the application reacts during the DB instance failover activity. The company does not want to make any code changes for this activity.
What should the company do to achieve this in the shortest amount of time?

A. Use a blue-green deployment with a complete application-level failover test

B. Use the RDS console to reboot the DB instance by choosing the option to reboot with failover

C. Use RDS fault injection queries to simulate the primary node failure

D. Add a rule to the NACL to deny all traffic on the subnets associated with a single Availability Zone

A Database Specialist is setting up a new Amazon Aurora DB cluster with one primary instance and three Aurora Replicas for a highly intensive, business-critical application. The Aurora DB cluster has one medium-sized primary instance, one large-sized replica, and two medium sized replicas. The Database Specialist did not assign a promotion tier to the replicas.
In the event of a primary failure, what will occur?

A. Aurora will promote an Aurora Replica that is of the same size as the primary instance

B. Aurora will promote an arbitrary Aurora Replica

C. Aurora will promote the largest-sized Aurora Replica

D. Aurora will not promote an Aurora Replica

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.)

A. Review the stack drift before modifying the template

B. Create and review a change set before applying it

C. Export the database resources as stack outputs

D. Define the database resources in a nested stack

E. Set a stack policy for the database resources

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.)

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

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

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

D. Set TCP keepalive parameters to a high value.

E. Set JDBC connection string timeout variables to a low value.

F. Set Java DNS caching timeouts to a high value.

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.

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.

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.

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.

A clothing company uses a custom ecommerce application and a PostgreSQL database to sell clothes to thousands of users from multiple countries. The company is migrating its application and database from its on-premises data center to the AWS Cloud. The company has selected Amazon EC2 for the application and Amazon RDS for PostgreSQL for the database. The company requires database passwords to be changed every 60 days. A Database Specialist needs to ensure that the credentials used by the web application to connect to the database are managed securely.
Which approach should the Database Specialist take to securely manage the database credentials?

A. Store the credentials in a text file in an Amazon S3 bucket. Restrict permissions on the bucket to the IAM role associated with the instance profile only. Modify the application to download the text file and retrieve the credentials on start up. Update the text file every 60 days.

B. Configure IAM database authentication for the application to connect to the database. Create an IAM user and map it to a separate database user for each ecommerce user. Require users to update their passwords every 60 days.

C. Store the credentials in AWS Secrets Manager. Restrict permissions on the secret to only the IAM role associated with the instance profile. Modify the application to retrieve the credentials from Secrets Manager on start up. Configure the rotation interval to 60 days.

D. Store the credentials in an encrypted text file in the application AMI. Use AWS KMS to store the key for decrypting the text file. Modify the application to decrypt the text file and retrieve the credentials on start up. Update the text file and publish a new AMI every 60 days.

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?

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

B. 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.

C. 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.

D. 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.

An AWS CloudFormation stack that included an Amazon RDS DB instance was accidentally deleted and recent data was lost. A Database Specialist needs to add
RDS settings to the CloudFormation template to reduce the chance of accidental instance data loss in the future.
Which settings will meet this requirement? (Choose three.)

A. Set DeletionProtection to True

B. Set MultiAZ to True

C. Set TerminationProtection to True

D. Set DeleteAutomatedBackups to False

E. Set DeletionPolicy to Delete

F. Set DeletionPolicy to Retain

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?

A. 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.

B. 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.

C. 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.

D. 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.

A company is deploying a solution in Amazon Aurora by migrating from an on-premises system. The IT department has established an AWS Direct Connect link from the company's data center. The company's Database Specialist has selected the option to require SSL/TLS for connectivity to prevent plaintext data from being set over the network. The migration appears to be working successfully, and the data can be queried from a desktop machine.
Two Data Analysts have been asked to query and validate the data in the new Aurora DB cluster. Both Analysts are unable to connect to Aurora. Their user names and passwords have been verified as valid and the Database Specialist can connect to the DB cluster using their accounts. The Database Specialist also verified that the security group configuration allows network from all corporate IP addresses.
What should the Database Specialist do to correct the Data Analysts' inability to connect?

A. Restart the DB cluster to apply the SSL change.

B. Instruct the Data Analysts to download the root certificate and use the SSL certificate on the connection string to connect.

C. Add explicit mappings between the Data Analysts’ IP addresses and the instance in the security group assigned to the DB cluster.

D. Modify the Data Analysts’ local client firewall to allow network traffic to AWS.

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?

A. Amazon DocumentDB

B. Amazon RDS Multi-AZ deployment

C. Amazon DynamoDB global table

D. Amazon Aurora Global Database

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?

A. 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.

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

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

D. 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.

A company is planning to close for several days. A Database Specialist needs to stop all applications along with the DB instances to ensure employees do not have access to the systems during this time. All databases are running on Amazon RDS for MySQL.
The Database Specialist wrote and ran a script to stop all the DB instances. When reviewing the logs, the Database Specialist found that Amazon RDS DB instances with read replicas did not stop.
How should the Database Specialist edit the script to fix this issue?

A. Stop the source instances before stopping their read replicas

B. Delete each read replica before stopping its corresponding source instance

C. Stop the read replicas before stopping their source instances

D. Use the AWS CLI to stop each read replica and source instance at the same time

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?

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

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

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

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

The Security team for a finance company was notified of an internal security breach that happened 3 weeks ago. A Database Specialist must start producing audit logs out of the production Amazon Aurora PostgreSQL cluster for the Security team to use for monitoring and alerting. The Security team is required to perform real-time alerting and monitoring outside the Aurora DB cluster and wants to have the cluster push encrypted files to the chosen solution.
Which approach will meet these requirements?

A. Use pg_audit to generate audit logs and send the logs to the Security team.

B. Use AWS CloudTrail to audit the DB cluster and the Security team will get data from Amazon S3.

C. Set up database activity streams and connect the data stream from Amazon Kinesis to consumer applications.

D. Turn on verbose logging and set up a schedule for the logs to be dumped out for the Security team.

A company with branch offices in Portland, New York, and Singapore has a three-tier web application that leverages a shared database. The database runs on
Amazon RDS for MySQL and is hosted in the us-west-2 Region. The application has a distributed front end deployed in the us-west-2, ap-southheast-1, and us- east-2 Regions.
This front end is used as a dashboard for Sales Managers in each branch office to see current sales statistics. There are complaints that the dashboard performs more slowly in the Singapore location than it does in Portland or New York. A solution is needed to provide consistent performance for all users in each location.
Which set of actions will meet these requirements?

A. Take a snapshot of the instance in the us-west-2 Region. Create a new instance from the snapshot in the ap-southeast-1 Region. Reconfigure the ap- southeast-1 front-end dashboard to access this instance.

B. Create an RDS read replica in the ap-southeast-1 Region from the primary RDS DB instance in the us-west-2 Region. Reconfigure the ap-southeast-1 front- end dashboard to access this instance.

C. Create a new RDS instance in the ap-southeast-1 Region. Use AWS DMS and change data capture (CDC) to update the new instance in the ap-southeast-1 Region. Reconfigure the ap-southeast-1 front-end dashboard to access this instance.

D. Create an RDS read replica in the us-west-2 Region where the primary instance resides. Create a read replica in the ap-southeast-1 Region from the read replica located on the us-west-2 Region. Reconfigure the ap-southeast-1 front-end dashboard to access this instance.

A company is running its line of business application on AWS, which uses Amazon RDS for MySQL at the persistent data store. The company wants to minimize downtime when it migrates the database to Amazon Aurora.
Which migration method should a Database Specialist use?

A. Take a snapshot of the RDS for MySQL DB instance and create a new Aurora DB cluster with the option to migrate snapshots.

B. Make a backup of the RDS for MySQL DB instance using the mysqldump utility, create a new Aurora DB cluster, and restore the backup.

C. Create an Aurora Replica from the RDS for MySQL DB instance and promote the Aurora DB cluster.

D. Create a clone of the RDS for MySQL DB instance and promote the Aurora DB cluster.

A company needs a data warehouse solution that keeps data in a consistent, highly structured format. The company requires fast responses for end-user queries when looking at data from the current year, and users must have access to the full 15-year dataset, when needed. This solution also needs to handle a fluctuating number incoming queries. Storage costs for the 100 TB of data must be kept low.
Which solution meets these requirements?

A. Leverage an Amazon Redshift data warehouse solution using a dense storage instance type while keeping all the data on local Amazon Redshift storage. Provision enough instances to support high demand.

B. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Provision enough instances to support high demand.

C. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Enable Amazon Redshift Concurrency Scaling.

D. Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum layer. Leverage Amazon Redshift elastic resize.

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?

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

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

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

D. Use Amazon Neptune for storage

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?

A. Create an Amazon DynamoDB table with provisioned capacity mode

B. Create an Amazon DocumentDB cluster

C. Create an Amazon DynamoDB table with on-demand capacity mode

D. Create an Amazon Aurora Serverless DB cluster

A Database Specialist is designing a disaster recovery strategy for a production Amazon DynamoDB table. The table uses provisioned read/write capacity mode, global secondary indexes, and time to live (TTL). The Database Specialist has restored the latest backup to a new table.
To prepare the new table with identical settings, which steps should be performed? (Choose two.)

A. Re-create global secondary indexes in the new table

B. Define IAM policies for access to the new table

C. Define the TTL settings

D. Encrypt the table from the AWS Management Console or use the update-table command

E. Set the provisioned read and write capacity

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?

A. The restored DB instance does not have Enhanced Monitoring enabled

B. The production DB instance is using a custom parameter group

C. The restored DB instance is using the default security group

D. The production DB instance is using a custom option group

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?

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

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

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

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

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?

A. 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.

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

C. 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.

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

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?

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

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

C. 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

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

A large ecommerce company uses Amazon DynamoDB to handle the transactions on its web portal. Traffic patterns throughout the year are usually stable; however, a large event is planned. The company knows that traffic will increase by up to 10 times the normal load over the 3-day event. When sale prices are published during the event, traffic will spike rapidly.
How should a Database Specialist ensure DynamoDB can handle the increased traffic?

A. Ensure the table is always provisioned to meet peak needs

B. Allow burst capacity to handle the additional load

C. Set an AWS Application Auto Scaling policy for the table to handle the increase in traffic

D. Preprovision additional capacity for the known peaks and then reduce the capacity after the event

A Database Specialist migrated an existing production MySQL database from on-premises to an Amazon RDS for MySQL DB instance. However, after the migration, the database needed to be encrypted at rest using AWS KMS. Due to the size of the database, reloading, the data into an encrypted database would be too time-consuming, so it is not an option.
How should the Database Specialist satisfy this new requirement?

A. Create a snapshot of the unencrypted RDS DB instance. Create an encrypted copy of the unencrypted snapshot. Restore the encrypted snapshot copy.

B. Modify the RDS DB instance. Enable the AWS KMS encryption option that leverages the AWS CLI.

C. Restore an unencrypted snapshot into a MySQL RDS DB instance that is encrypted.

D. Create an encrypted read replica of the RDS DB instance. Promote it the master.

A company's Security department established new requirements that state internal users must connect to an existing Amazon RDS for SQL Server DB instance using their corporate Active Directory (AD) credentials. A Database Specialist must make the modifications needed to fulfill this requirement.
Which combination of actions should the Database Specialist take? (Choose three.)

A. Disable Transparent Data Encryption (TDE) on the RDS SQL Server DB instance.

B. Modify the RDS SQL Server DB instance to use the directory for Windows authentication. Create appropriate new logins.

C. Use the AWS Management Console to create an AWS Managed Microsoft AD. Create a trust relationship with the corporate AD.

D. Stop the RDS SQL Server DB instance, modify it to use the directory for Windows authentication, and start it again. Create appropriate new logins.

E. Use the AWS Management Console to create an AD Connector. Create a trust relationship with the corporate AD.

F. Configure the AWS Managed Microsoft AD domain controller Security Group.

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?

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

B. Enhanced Monitoring is not enabled on the source DB instance.

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

D. Automated backups are not enabled on the source DB instance.

A company is using 5 TB Amazon RDS DB instances and needs to maintain 5 years of monthly database backups for compliance purposes. A Database
Administrator must provide Auditors with data within 24 hours.
Which solution will meet these requirements and is the MOST operationally efficient?

A. Create an AWS Lambda function to run on the first day of every month to take a manual RDS snapshot. Move the snapshot to the company’s Amazon S3 bucket.

B. Create an AWS Lambda function to run on the first day of every month to take a manual RDS snapshot.

C. Create an RDS snapshot schedule from the AWS Management Console to take a snapshot every 30 days.

D. Create an AWS Lambda function to run on the first day of every month to create an automated RDS snapshot.

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

B. Allow the preconfigured RDS maintenance window for the given DB instance to control when the change is applied

C. Apply the change manually by rebooting the DB instance during the approved maintenance window

D. Reboot the secondary Multi-AZ DB instance

A Database Specialist is performing a proof of concept with Amazon Aurora using a small instance to confirm a simple database behavior. When loading a large dataset and creating the index, the Database Specialist encounters the following error message from Aurora:
ERROR: cloud not write block 7507718 of temporary file: No space left on device
What is the cause of this error and what should the Database Specialist do to resolve this issue?

A. The scaling of Aurora storage cannot catch up with the data loading. The Database Specialist needs to modify the workload to load the data slowly.

B. The scaling of Aurora storage cannot catch up with the data loading. The Database Specialist needs to enable Aurora storage scaling.

C. The local storage used to store temporary tables is full. The Database Specialist needs to scale up the instance.

D. The local storage used to store temporary tables is full. The Database Specialist needs to enable local storage scaling.

A gaming company has recently acquired a successful iOS game, which is particularly popular during the holiday season. The company has decided to add a leaderboard to the game that uses Amazon DynamoDB. The application load is expected to ramp up over the holiday season.
Which solution will meet these requirements at the lowest cost?

A. DynamoDB Streams

B. DynamoDB with DynamoDB Accelerator

C. DynamoDB with on-demand capacity mode

D. DynamoDB with provisioned capacity mode with Auto Scaling

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?

A. 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.

B. 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.

C. 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.

D. 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.

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?

A. 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.

B. 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.

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

D. 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.

A marketing company is using Amazon DocumentDB and requires that database audit logs be enabled. A Database Specialist needs to configure monitoring so that all data definition language (DDL) statements performed are visible to the Administrator. The Database Specialist has set the audit_logs parameter to enabled in the cluster parameter group.
What should the Database Specialist do to automatically collect the database logs for the Administrator?

A. Enable DocumentDB to export the logs to Amazon CloudWatch Logs

B. Enable DocumentDB to export the logs to AWS CloudTrail

C. Enable DocumentDB Events to export the logs to Amazon CloudWatch Logs

D. Configure an AWS Lambda function to download the logs using the download-db-log-file-portion operation and store the logs in Amazon S3

A Database Specialist needs to define a database migration strategy to migrate an on-premises Oracle database to an Amazon Aurora MySQL DB cluster. The company requires near-zero downtime for the data migration. The solution must also be cost-effective.
Which approach should the Database Specialist take?

A. Dump all the tables from the Oracle database into an Amazon S3 bucket using datapump (expdp). Run data transformations in AWS Glue. Load the data from the S3 bucket to the Aurora DB cluster.

B. Order an AWS Snowball appliance and copy the Oracle backup to the Snowball appliance. Once the Snowball data is delivered to Amazon S3, create a new Aurora DB cluster. Enable the S3 integration to migrate the data directly from Amazon S3 to Amazon RDS.

C. Use the AWS Schema Conversion Tool (AWS SCT) to help rewrite database objects to MySQL during the schema migration. Use AWS DMS to perform the full load and change data capture (CDC) tasks.

D. Use AWS Server Migration Service (AWS SMS) to import the Oracle virtual machine image as an Amazon EC2 instance. Use the Oracle Logical Dump utility to migrate the Oracle data from Amazon EC2 to an Aurora DB cluster.

A Database Specialist needs to speed up any failover that might occur on an Amazon Aurora PostgreSQL DB cluster. The Aurora DB cluster currently includes the primary instance and three Aurora Replicas.
How can the Database Specialist ensure that failovers occur with the least amount of downtime for the application?

A. Set the TCP keepalive parameters low

B. Call the AWS CLI failover-db-cluster command

C. Enable Enhanced Monitoring on the DB cluster

D. Start a database activity stream on the DB cluster

A company is running Amazon RDS for MySQL for its workloads. There is downtime when AWS operating system patches are applied during the Amazon RDS- specified maintenance window.
What is the MOST cost-effective action that should be taken to avoid downtime?

A. Migrate the workloads from Amazon RDS for MySQL to Amazon DynamoDB

B. Enable cross-Region read replicas and direct read traffic to them when Amazon RDS is down

C. Enable a read replica and direct read traffic to it when Amazon RDS is down

D. Enable an Amazon RDS for MySQL Multi-AZ configuration

An online shopping company has a large inflow of shopping requests daily. As a result, there is a consistent load on the company's Amazon RDS database. A database specialist needs to ensure the database is up and running at all times. The database specialist wants an automatic notification system for issues that may cause database downtime or for configuration changes made to the database.
What should the database specialist do to achieve this? (Choose two.)

A. Create an Amazon CloudWatch Events event to send a notification using Amazon SNS on every API call logged in AWS CloudTrail.

B. Subscribe to an RDS event subscription and configure it to use an Amazon SNS topic to send notifications.

C. Use Amazon SES to send notifications based on configured Amazon CloudWatch Events events.

D. Configure Amazon CloudWatch alarms on various metrics, such as FreeStorageSpace for the RDS instance.

E. Enable email notifications for AWS Trusted Advisor.

A database specialist is responsible for an Amazon RDS for MySQL DB instance with one read replica. The DB instance and the read replica are assigned to the default parameter group. The database team currently runs test queries against a read replica. The database team wants to create additional tables in the read replica that will only be accessible from the read replica to benefit the tests.
Which should the database specialist do to allow the database team to create the test tables?

A. Contact AWS Support to disable read-only mode on the read replica. Reboot the read replica. Connect to the read replica and create the tables.

B. Change the read_only parameter to false (read_only=0) in the default parameter group of the read replica. Perform a reboot without failover. Connect to the read replica and create the tables using the local_only MySQL option.

C. Change the read_only parameter to false (read_only=0) in the default parameter group. Reboot the read replica. Connect to the read replica and create the tables.

D. Create a new DB parameter group. Change the read_only parameter to false (read_only=0). Associate the read replica with the new group. Reboot the read replica. Connect to the read replica and create the tables.

A company is building a software as a service application. As part of the new user sign-on workflow, a Python script invokes the CreateTable operation using the
Amazon DynamoDB API. After the call returns, the script attempts to call PutItem.
Occasionally, the PutItem request fails with a ResourceNotFoundException error, which causes the workflow to fail. The development team has confirmed that the same table name is used in the two API calls.
How should a database specialist fix this issue?

A. Add an allow statement for the dynamodb:PutItem action in a policy attached to the role used by the application creating the table.

B. Set the StreamEnabled property of the StreamSpecification parameter to true, then call PutItem.

C. Change the application to call DescribeTable periodically until the TableStatus is ACTIVE, then call PutItem.

D. Add a ConditionExpression parameter in the PutItem request.

A company has migrated a single MySQL database to Amazon Aurora. The production data is hosted in a DB cluster in VPC_PROD, and 12 testing environments are hosted in VPC_TEST using the same AWS account. Testing results in minimal changes to the test data. The Development team wants each environment refreshed nightly so each test database contains fresh production data every day.
Which migration approach will be the fastest and most cost-effective to implement?

A. Run the master in Amazon Aurora MySQL. Create 12 clones in VPC_TEST, and script the clones to be deleted and re-created nightly.

B. Run the master in Amazon Aurora MySQL. Take a nightly snapshot, and restore it into 12 databases in VPC_TEST using Aurora Serverless.

C. 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.

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.

A company has an ecommerce web application with an Amazon RDS for MySQL DB instance. The marketing team has noticed some unexpected updates to the product and pricing information on the website, which is impacting sales targets. The marketing team wants a database specialist to audit future database activity to help identify how and when the changes are being made.
What should the database specialist do to meet these requirements? (Choose two.)

A. Create an RDS event subscription to the audit event type.

B. Enable auditing of CONNECT and QUERY_DML events.

C. SSH to the DB instance and review the database logs.

D. Publish the database logs to Amazon CloudWatch Logs.

E. Enable Enhanced Monitoring on the DB instance.

A large financial services company requires that all data be encrypted in transit. A Developer is attempting to connect to an Amazon RDS DB instance using the company VPC for the first time with credentials provided by a Database Specialist. Other members of the Development team can connect, but this user is consistently receiving an error indicating a communications link failure. The Developer asked the Database Specialist to reset the password a number of times, but the error persists.
Which step should be taken to troubleshoot this issue?

A. Ensure that the database option group for the RDS DB instance allows ingress from the Developer machine’s IP address

B. Ensure that the RDS DB instance’s subnet group includes a public subnet to allow the Developer to connect

C. Ensure that the RDS DB instance has not reached its maximum connections limit

D. Ensure that the connection is using SSL and is addressing the port where the RDS DB instance is listening for encrypted connections

A database specialist must create nightly backups of an Amazon DynamoDB table in a mission-critical workload as part of a disaster recovery strategy.
Which backup methodology should the database specialist use to MINIMIZE management overhead?

A. Install the AWS CLI on an Amazon EC2 instance. Write a CLI command that creates a backup of the DynamoDB table. Create a scheduled job or task that runs the command on a nightly basis.

B. Create an AWS Lambda function that creates a backup of the DynamoDB table. Create an Amazon CloudWatch Events rule that runs the Lambda function on a nightly basis.

C. Create a backup plan using AWS Backup, specify a backup frequency of every 24 hours, and give the plan a nightly backup window.

D. Configure DynamoDB backup and restore for an on-demand backup frequency of every 24 hours.

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. Edit the my.cnf file for the DB cluster to increase max_connections

B. Increase the instance size of the DB cluster

C. Change the DB cluster to Multi-AZ

D. Increase the number of Aurora Replicas

A company has applications running on Amazon EC2 instances in a private subnet with no internet connectivity. The company deployed a new application that uses Amazon DynamoDB, but the application cannot connect to the DynamoDB tables. A developer already checked that all permissions are set correctly.
What should a database specialist do to resolve this issue while minimizing access to external resources?

A. Add a route to an internet gateway in the subnet’s route table.

B. Add a route to a NAT gateway in the subnet’s route table.

C. Assign a new security group to the EC2 instances with an outbound rule to ports 80 and 443.

D. Create a VPC endpoint for DynamoDB and add a route to the endpoint in the subnet’s route table.

A retail company manages a web application that stores data in an Amazon DynamoDB table. The company is undergoing account consolidation efforts. A database engineer needs to migrate the DynamoDB table from the current AWS account to a new AWS account.
Which strategy meets these requirements with the LEAST amount of administrative work?

A. Use AWS Glue to crawl the data in the DynamoDB table. Create a job using an available blueprint to export the data to Amazon S3. Import the data from the S3 file to a DynamoDB table in the new account.

B. Create an AWS Lambda function to scan the items of the DynamoDB table in the current account and write to a file in Amazon S3. Create another Lambda function to read the S3 file and restore the items of a DynamoDB table in the new account.

C. Use AWS Data Pipeline in the current account to export the data from the DynamoDB table to a file in Amazon S3. Use Data Pipeline to import the data from the S3 file to a DynamoDB table in the new account.

D. Configure Amazon DynamoDB Streams for the DynamoDB table in the current account. Create an AWS Lambda function to read from the stream and write to a file in Amazon S3. Create another Lambda function to read the S3 file and restore the items to a DynamoDB table in the new account.