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The AWS Certified Database - Specialty (DBS-C01) exam is designed to test the candidate's knowledge and expertise in a variety of areas related to database management, including database design, deployment, migration, security, monitoring, and troubleshooting. Candidates are expected to have experience with a variety of AWS services, including Amazon RDS, Amazon DynamoDB, Amazon Redshift, Amazon Aurora, and Amazon DocumentDB.
Amazon DBS-C01 Exam Syllabus Topics:
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NEW QUESTION # 172
An ecommerce company uses a backend application that stores data in an Amazon DynamoDB table. The backend application runs in a private subnet in a VPC and must connect to this table.
The company must minimize any network latency that results from network connectivity issues, even during periods of heavy application usage. A database administrator also needs the ability to use a private connection to connect to the DynamoDB table from the application.
Which solution will meet these requirements?
- A. Use a VPN to route all communication to DynamoDB through the company's own corporate network infrastructure.
- B. Create a VPC endpoint for DynamoDB in the application's VPC. Use the VPC endpoint to access the table.
- C. Use network ACLs to ensure that any outgoing or incoming connections to any port except DynamoDB are deactivated. Encrypt API calls by using TLS.
- D. Create an AWS Lambda function that has access to DynamoDB. Restrict outgoing access only to this Lambda function from the application.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/vpc-endpoints-dynamodb.html
NEW QUESTION # 173
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. Publish the database logs to Amazon CloudWatch Logs.
- B. Create an RDS event subscription to the audit event type.
- C. Enable auditing of CONNECT and QUERY_DML events.
- D. Enable Enhanced Monitoring on the DB instance.
- E. SSH to the DB instance and review the database logs.
Answer: A,B
NEW QUESTION # 174
A database specialist needs to configure an Amazon RDS for MySQL DB instance to close non-interactive connections that are inactive after 900 seconds.
What should the database specialist do to accomplish this task?
- A. Create a custom DB parameter group and set the wait_timeout parameter value to 900. Associate the DB instance with the custom parameter group.
- B. Connect to the MySQL database and run the SET SESSION wait_timeout=900 command.
- C. Modify the default DB parameter group and set the wait_timeout parameter value to 900.
- D. Edit the my.cnf file and set the wait_timeout parameter value to 900. Restart the DB instance.
Answer: A
Explanation:
https://aws.amazon.com/fr/blogs/database/best-practices-for-configuring-parameters-for-amazon-rds-for-mysql-part-3-parameters-related-to-security-operational-manageability-and-connectivity-timeout/
"You can set parameters globally using a parameter group. Alternatively, you can set them for a particular session using the SET command." https://aws.amazon.com/blogs/database/best-practices-for-configuring-parameters-for-amazon-rds-for-mysql-part-1-parameters-related-to-performance/
NEW QUESTION # 175
A Database Specialist is creating a new Amazon Neptune DB cluster, and is attempting to load fata from Amazon S3 into the Neptune DB cluster using the Neptune bulk loader API. The Database Specialist receives the following error:
"Unable to connect to s3 endpoint. Provided source = s3://mybucket/graphdata/ and region = us-east-1. Please verify your S3 configuration." Which combination of actions should the Database Specialist take to troubleshoot the problem? (Choose two.)
- A. Check that a Neptune VPC endpoint exists
- B. Check that Neptune has an IAM role granting read access to Amazon S3
- C. Check that Amazon EC2 has an IAM role granting read access to Amazon S3
- D. Check that Amazon S3 has an IAM role granting read access to Neptune
- E. Check that an Amazon S3 VPC endpoint exists
Answer: C,E
NEW QUESTION # 176
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 enable Aurora storage scaling.
- B. The local storage used to store temporary tables is full. The Database Specialist needs to enable local storage scaling.
- C. 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.
- D. The local storage used to store temporary tables is full. The Database Specialist needs to scale up the instance.
Answer: D
Explanation:
Reference:
/how-can-i-tune-postgres-to-avoid-this-error
NEW QUESTION # 177
A company developed an AWS CloudFormation template used to create all new Amazon DynamoDB tables in its AWS account. The template configures provisioned throughput capacity using hard-coded values. The company wants to change the template so that the tables it creates in the future have independently configurable read and write capacity units assigned.
Which solution will enable this change?
- A. Add values for the rcuCount and wcuCount parameters as outputs of the template. Configure DynamoDBto provision throughput capacity using the stack outputs.
- B. Add values for the rcuCount and wcuCount parameters to the Mappings section of the template.
Replacethe hard-coded values with calls to the Ref intrinsic function, referencing the new parameters. - C. Add values for the rcuCount and wcuCount parameters to the Mappings section of the template.
ConfigureDynamoDB to provision throughput capacity using the stack's mappings. - D. Add values for two Number parameters, rcuCount and wcuCount, to the template. Replace the hard-codedvalues with calls to the Ref intrinsic function, referencing the new parameters.
Answer: D
NEW QUESTION # 178
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 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.
- B. 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.
- C. 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.
- D. 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.
Answer: A
NEW QUESTION # 179
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 executes the command on a nightly basis.
- B. Configure DynamoDB backup and restore for an on-demand backup frequency of every 24 hours.
- C. Create an AWS Lambda function that creates a backup of the DynamoDB table. Create an Amazon CloudWatch Events rule that executes the Lambda function on a nightly basis.
- D. Create a backup plan using AWS Backup, specify a backup frequency of every 24 hours, and give the plan a nightly backup window.
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/CreateBackup.html#:~:text=If%20you%2
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/backuprestore_HowItWorks.html
NEW QUESTION # 180
A financial company has allocated an Amazon RDS MariaDB DB instance with large storage capacity to accommodate migration efforts. Post-migration, the company purged unwanted data from the instance. The company now want to downsize storage to save money. The solution must have the least impact on production and near-zero downtime.
Which solution would meet these requirements?
- A. Create a new RDS DB instance with the required storage and move the databases from the old instances to the new instance using AWS DMS
- B. Create a new database using native backup and restore
- C. Create a new read replica and make it the primary by terminating the existing primary
- D. Create a snapshot of the old databases and restore the snapshot with the required storage
Answer: A
Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/rds-db-storage-size/ Use AWS Database Migration Service (AWS DMS) for minimal downtime.
NEW QUESTION # 181
A database specialist wants to ensure that an Amazon Aurora DB cluster is always automatically upgraded to the most recent minor version available. Noticing that there is a new minor version available, the database specialist has issues an AWS CLI command to enable automatic minor version updates. The command runs successfully, but checking the Aurora DB cluster indicates that no update to the Aurora version has been made.
What might account for this? (Choose two.)
- A. The new minor version has not yet been designated as preferred and requires a manual upgrade.
- B. The AWS CLI command did not include an apply-immediately parameter.
- C. Applying minor version upgrades requires sufficient free space.
- D. Aurora has detected a breaking change in the new minor version and has automatically rejected the upgrade.
- E. Configuring automatic upgrades using the AWS CLI is not supported. This must be enabled expressly using the AWS Management Console.
Answer: A,B
Explanation:
Explanation
"When Amazon RDS designates a minor engine version as the preferred minor engine version, each database that meets both of the following conditions is upgraded to the minor engine version automatically"
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_UpgradeDBInstance.Upgrading.html Call the modify-db-instance Amazon CLI command. Specify the name of your DB instance for the
--db-instance-identifier option and true for the --auto-minor-version-upgrade option. Optionally, specify the
--apply-immediately option to immediately enable this setting for your DB instance. Run a separate modify-db-instance command for each DB instance in the cluster.
https://docs.amazonaws.cn/en_us/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Updates.Patching.html#
NEW QUESTION # 182
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 time to live (TTL) on each table.
- C. Create a new attribute in each table to track the expiration time and enable DynamoDB Streams 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.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/TTL.html
NEW QUESTION # 183
The website of a manufacturing firm makes use of an Amazon Aurora PostgreSQL database cluster.
Which settings will result in the LEAST amount of downtime for the application during failover? (Select three.)
- A. Set TCP keepalive parameters to a high value.
- B. Create an Amazon CloudWatch alert triggering a restore in another Availability Zone when the primary Aurora DB cluster is unreachable.
- C. Set Java DNS caching timeouts to a high value.
- D. Edit and enable Aurora DB cluster cache management in parameter groups.
- E. Set JDBC connection string timeout variables to a low value.
- F. Use the provided read and write Aurora endpoints to establish a connection to the Aurora DB cluster.
Answer: D,E,F
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.BestPractices.html
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.cluster-cache-mgmt.htm
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.BestPractices.html#Auro
NEW QUESTION # 184
A company is launching a new Amazon RDS for MySQL Multi-AZ DB instance to be used as a data store for a custom-built application. After a series of tests with point-in-time recovery disabled, the company decides that it must have point-in-time recovery reenabled before using the DB instance to store production data.
What should a database specialist do so that point-in-time recovery can be successful?
- A. Set up a scheduled job to create manual DB instance snapshots.
- B. Modify the DB instance and configure a backup retention period
- C. Enable binary logging in the DB parameter group used by the DB instance.
- D. Modify the DB instance and enable audit logs to be pushed to Amazon CloudWatch Logs.
Answer: B
Explanation:
You can restore a DB instance to a specific point in time (PITR), creating a new DB instance. To support PITR, your DB instances must have backup retention set to a nonzero value. https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/custom-backup-sqlserver.html
https://aws.amazon.com/blogs/database/setting-up-a-binlog-server-for-amazon-rds-mysql-and-mariadb-using-mariadb-maxscale/
"After you run the command, it's okay to enable backup retention on the RDS instance by using the AWS CLI or the console. Enabling backup retention also enables binary logging."
https://aws.amazon.com/blogs/storage/point-in-time-recovery-and-continuous-backup-for-amazon-rds-with-aws-backup/
NEW QUESTION # 185
A financial services company is developing a shared data service that supports different applications from throughout the company. A Database Specialist designed a solution to leverage Amazon ElastiCache for Redis with cluster mode enabled to enhance performance and scalability. The cluster is configured to listen on port 6379.
Which combination of steps should the Database Specialist take to secure the cache data and protect it from unauthorized access? (Choose three.)
- A. Enable in-transit and at-rest encryption on the ElastiCache cluster.
- B. Create an IAM policy to allow the application service roles to access all ElastiCache API actions.
- C. Ensure the cluster is created with the auth-token parameter and that the parameter is used in all subsequent commands.
- D. Ensure the security group for the ElastiCache clients authorize inbound TCP port 6379 and port 22 traffic from the trusted ElastiCache cluster's security group.
- E. Ensure that Amazon CloudWatch metrics are configured in the ElastiCache cluster.
- F. Ensure the security group for the ElastiCache cluster allows all inbound traffic from itself and inbound traffic on TCP port 6379 from trusted clients only.
Answer: A,C,F
Explanation:
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/encryption.html
NEW QUESTION # 186
A financial services company is developing a shared data service that supports different applications from throughout the company. A Database Specialist designed a solution to leverage Amazon ElastiCache for Redis with cluster mode enabled to enhance performance and scalability. The cluster is configured to listen on port
6379.
Which combination of steps should the Database Specialist take to secure the cache data and protect it from unauthorized access? (Choose three.)
- A. Enable in-transit and at-rest encryption on the ElastiCache cluster.
- B. Create an IAM policy to allow the application service roles to access all ElastiCache API actions.
- C. Ensure the cluster is created with the auth-token parameter and that the parameter is used in all subsequent commands.
- D. Ensure the security group for the ElastiCache clients authorize inbound TCP port 6379 and port 22 traffic from the trusted ElastiCache cluster's security group.
- E. Ensure that Amazon CloudWatch metrics are configured in the ElastiCache cluster.
- F. Ensure the security group for the ElastiCache cluster allows all inbound traffic from itself and inbound traffic on TCP port 6379 from trusted clients only.
Answer: A,C,F
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/encryption.html
NEW QUESTION # 187
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 storedindividually. The maximum size of an event is 200 KB and the average size is 10 KB. Each page load mustquery the user's browsing history to provide targeting recommendations. The advertising company expectsover 1 billion page visits per day from users in the United States, Europe, Hong Kong, and India. The structureof the metadata varies depending on the event. Additionally, the browsing metadata must be written and readwith very low latency to ensure a good viewing experience for the users.
Which database solution meets these requirements?
- A. Amazon DocumentDB
- B. Amazon Aurora Global Database
- C. Amazon DynamoDB global table
- D. Amazon RDS Multi-AZ deployment
Answer: C
NEW QUESTION # 188
A Database Specialist must create a read replica to isolate read-only queries for an Amazon RDS for MySQLDB instance. Immediately after creating the read replica, users that query it report slow response times.
What could be causing these slow response times?
- A. Long-running statements on the master
- B. Overload of a single replication thread by excessive writes on the master
- C. New volumes created from snapshots load lazily in the background
- D. Insufficient resources on the master
Answer: A
NEW QUESTION # 189
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 AWS CloudTrail to audit the DB cluster and the Security team will get data from Amazon S3.
- B. Use pg_audit to generate audit logs and send the logs to the Security team.
- C. Turn on verbose logging and set up a schedule for the logs to be dumped out for the Security team.
- D. Set up database activity streams and connect the data stream from Amazon Kinesis to consumer applications.
Answer: D
Explanation:
https://aws.amazon.com/about-aws/whats-new/2019/05/amazon-aurora-with-postgresql-compatibility-supports-database-activity-streams/
"Database Activity Streams for Amazon Aurora with PostgreSQL compatibility provides a near real-time data stream of the database activity in your relational database to help you monitor activity. When integrated with third party database activity monitoring tools, Database Activity Streams can monitor and audit database activity to provide safeguards for your database and help meet compliance and regulatory requirements."
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Overview.LoggingAndMonitoring.html
NEW QUESTION # 190
An Amazon RDS EBS-optimized instance with Provisioned IOPS (PIOPS) storage is using less than half of its allocated IOPS over the course of several hours under constant load. The RDS instance exhibits multi-second read and write latency, and uses all of its maximum bandwidth for read throughput, yet the instance uses less than half of its CPU and RAM resources.
What should a Database Specialist do in this situation to increase performance and return latency to sub- second levels?
- A. Disable EBS optimization on the DB instance
- B. Increase the size of the DB instance storage
- C. Change the DB instance to an instance class with a higher maximum bandwidth
- D. Change the underlying EBS storage type to General Purpose SSD (gp2)
Answer: C
Explanation:
https://docs.amazonaws.cn/en_us/AmazonRDS/latest/UserGuide/CHAP_BestPractices.html
NEW QUESTION # 191
A software company is conducting a security audit of its three-node Amazon Aurora MySQL DB cluster.
Which finding is a security concern that needs to be addressed?
- A. Each Aurora DB cluster node is not in a separate private VPC with restricted access.
- B. The IAM credentials used by the application are not rotated regularly.
- C. Encryption in transit is not configured for all Aurora native backup processes.
- D. The AWS account root user does not have the minimum privileges required for client applications.
Answer: B
Explanation:
Rotate your IAM credentials regularly.
NEW QUESTION # 192
A retail company with its main office in New York and another office in Tokyo plans to build a database solution on AWS. The company's main workload consists of a mission-critical application that updates its application data in a data store. The team at the Tokyo office is building dashboards with complex analytical queries using the application data. The dashboards will be used to make buying decisions, so they need to have access to the application data in less than 1 second.
Which solution meets these requirements?
- A. Use an Amazon Aurora global database. Deploy the writer instance in the us-east-1 Region and the replicain the ap-northeast-1 Region. Have the dashboard application read from the replica ap-northeast-1 Region.
- B. Use an Amazon DynamoDB global table in the us-east-1 Region with replication into the ap-northeast-1Region. Use Amazon QuickSight for displaying dashboard results.
- C. Use an Amazon RDS for MySQL DB instance deployed in the us-east-1 Region with a read replicainstance in the ap-northeast-1 Region. Have the dashboard application read from the read replica.
- D. Use an Amazon RDS DB instance deployed in the us-east-1 Region with a read replica instance in the apnortheast-1 Region. Create an Amazon ElastiCache cluster in the ap-northeast-1 Region to cacheapplication data from the replica to generate the dashboards.
Answer: A
NEW QUESTION # 193
A large retail company recently migrated its three-tier ecommerce applications to AWS. The company's backend database is hosted on Amazon Aurora PostgreSQL. During peak times, users complain about longer page load times. A database specialist reviewed Amazon RDS Performance Insights and found a spike in IO:XactSync wait events. The SQL attached to the wait events are all single INSERT statements.
How should this issue be resolved?
- A. Add a new Aurora Replica to the Aurora DB cluster.
- B. Modify the application to commit transactions in batches
- C. Add an Amazon ElastiCache for Redis cluster and change the application to write through.
- D. Change the Aurora DB cluster storage to Provisioned IOPS (PIOPS).
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.Reference.html
"This wait most often arises when there is a very high rate of commit activity on the system. You can sometimes alleviate this wait by modifying applications to commit transactions in batches. "
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/apg-waits.xactsync.html
NEW QUESTION # 194
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.
- B. 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 AWS DMS data validation on the task so the AWS DMS task compares the source and target records, and reports any mismatches.
- D. 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.
Answer: C
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
NEW QUESTION # 195
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. Increase the number of Aurora Replicas
- D. Change the DB cluster to Multi-AZ
Answer: B
Explanation:
Explanation
Max_connection is a formula in RDS parameter group:
GREATEST({log(DBInstanceClassMemory/805306368)*45},{log(DBInstanceClassMemory/8187281408)*100
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Managing.Performance.htm You can increase the maximum number of connections to your Aurora MySQL DB instance by scaling the instance up to a DB instance class with more memory, or by setting a larger value for the max_connections parameter in the DB parameter group for your instance, up to 16,000. You must change a larger value for the max_connections parameter in the DB parameter group, not edit my.cnf, it is not physical server hosting MySQL.
NEW QUESTION # 196
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Taking the AWS Certified Database - Specialty exam requires a deep understanding of AWS database technologies, including Amazon RDS, Amazon DynamoDB, Amazon Aurora, and Amazon Redshift. DBS-C01 exam also covers data migration, backup and recovery, security, and performance optimization on AWS database services. Passing DBS-C01 exam demonstrates that the candidate has the skills and knowledge needed to design and manage databases on AWS, which can open up new career opportunities and increase job prospects.
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