[2024年09月04日] AWS-Certified-Database-Specialtyテストエンジンお試しセット、AWS-Certified-Database-Specialty問題集PDF
最新のAmazon AWS-Certified-Database-SpecialtyのPDFと問題集で(2024)無料試験問題解答
認定試験では、データベースの設計、データモデリング、ストレージ、セキュリティ、スケーラビリティ、可用性など、さまざまなトピックをカバーしています。この試験では、Amazon RDS、Amazon Dynamodb、Amazon Aurora、Amazon DocumentDB、Amazon Neptune、Amazon ElasticacheなどのAWSデータベースサービスに関する候補者の知識もテストしています。この試験では、これらのサービスを操作し、AWSにデータベースソリューションを設計および展開する候補者の能力の評価に焦点を当てています。
Amazon AWS-Certified-Database-Specialty 認定試験の出題範囲:
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Amazon DBS-C01(AWS認定データベース-Specialty(DBS-C01))試験は、AWSプラットフォーム上のデータベーステクノロジーの分野でのスキルと知識を検証しようとしている人向けに設計されています。この試験では、AWSデータベースを設計、展開、維持する候補者の能力、およびデータモデリング、ストレージ、セキュリティなどの概念の理解をテストします。この認定は、データベース管理と管理でのキャリアを促進しようとする専門家にとって貴重な資産となる可能性があります。
質問 # 39
A business's production databases are housed on a 3 TB Amazon Aurora MySQL DB cluster. The database cluster is installed in the region us-east-1. For disaster recovery (DR) requirements, the company's database expert needs to fast deploy the DB cluster in another AWS Region to handle the production load with an RTO of less than two hours.
Which approach is the MOST OPERATIONALLY EFFECTIVE in meeting these requirements?
- A. Add a cross-Region read replica in the DR Region with the same instance type as the current primary instance. If the read replica in the DR Region needs to be used for production, promote the read replica to become a standalone DB cluster.
- B. Create a smaller DB cluster in the DR Region. Configure an AWS Database Migration Service (AWS DMS) task with change data capture (CDC) enabled to replicate data from the current production DB cluster to the DB cluster in the DR Region.
- C. Implement an AWS Lambda function to take a snapshot of the production DB cluster every 2 hours, and copy that snapshot to an Amazon S3 bucket in the DR Region. Restore the snapshot to an appropriately sized DB cluster in the DR Region.
- D. Create an Aurora global database that spans two Regions. Use AWS Database Migration Service (AWS DMS) to migrate the existing database to the new global database.
正解:A
解説:
RTO is 2 hours. With 3 TB database, cross-region replica is a better option
質問 # 40
A Database Specialist has migrated an on-premises Oracle database to Amazon Aurora PostgreSQL. The schema and the data have been migrated successfully. The on-premises database server was also being used to run database maintenance cron jobs written in Python to perform tasks including data purging and generating data exports. The logs for these jobs show that, most of the time, the jobs completed within 5 minutes, but a few jobs took up to 10 minutes to complete. These maintenance jobs need to be set up for Aurora PostgreSQL.
How can the Database Specialist schedule these jobs so the setup requires minimal maintenance and provides high availability?
- A. Create cron jobs on an Amazon EC2 instance to run the maintenance jobs following the required schedule.
- B. Create AWS Lambda functions to run the maintenance jobs and schedule them with Amazon CloudWatchEvents.
- C. Create the maintenance job using the Amazon CloudWatch job scheduling plugin.
- D. Connect to the Aurora host and create cron jobs to run the maintenance jobs following the requiredschedule.
正解:C
質問 # 41
A company runs an ecommerce application on premises on Microsoft SQL Server. The company is planning to migrate the application to the AWS Cloud. The application code contains complex T-SQL queries and stored procedures.
The company wants to minimize database server maintenance and operating costs after the migration is completed. The company also wants to minimize the need to rewrite code as part of the migration effort.
Which solution will meet these requirements?
- A. Migrate the database to Amazon S3. Use Amazon Redshift Spectrum for query processing.
- B. Migrate the database to Amazon RDS for SQL Server. Turn on Kerberos authentication.
- C. Migrate the database to an Amazon EMR cluster that includes multiple primary nodes.
- D. Migrate the database to Amazon Aurora PostgreSQL. Turn on Babelfish.
正解:D
解説:
Explanation from Amazon documents:
Amazon Aurora PostgreSQL is a fully managed relational database service that is compatible with PostgreSQL. Aurora PostgreSQL offers up to three times better performance than standard PostgreSQL, as well as high availability, scalability, security, and durability. Aurora PostgreSQL also supports Babelfish, which is a new feature that enables Aurora to understand queries from applications written for Microsoft SQL Server. Babelfish allows you to migrate your SQL Server databases to Aurora PostgreSQL with minimal or no code changes, and run complex T-SQL queries and stored procedures on Aurora PostgreSQL.
Migrating the database to Amazon Aurora PostgreSQL and turning on Babelfish will meet the requirements of minimizing database server maintenance and operating costs, and minimizing the need to rewrite code as part of the migration effort. This solution will allow the company to benefit from the performance, reliability, and cost-efficiency of Aurora PostgreSQL, while preserving the compatibility and functionality of SQL Server.
The company will also avoid the hassle and expense of managing and licensing SQL Server on premises or on AWS.
Therefore, option A is the correct solution to meet the requirements. Option B is not suitable because Amazon S3 is an object storage service that is not designed for OLTP workloads. Amazon Redshift Spectrum is a feature that allows you to query data in S3 using Amazon Redshift, but it is not compatible with SQL Server or T-SQL. Option C is not optimal because Amazon RDS for SQL Server is a managed relational database service that supports SQL Server, but it does not offer the same performance, scalability, or cost savings as Aurora PostgreSQL. Kerberos authentication is a security feature that does not affect the migration effort or the operating costs. Option D is not suitable because Amazon EMR is a big data processing service that runs Apache Hadoop and Spark clusters, not relational databases. EMR does not support SQL Server or T-SQL, and it is not optimized for OLTP workloads.
質問 # 42
A database specialist is managing an application in the us-west-1 Region and wants to set up disaster recovery in the us-east-1 Region. The Amazon Aurora MySQL DB cluster needs an RPO of 1 minute and an RTO of 2 minutes.
Which approach meets these requirements with no negative performance impact?
- A. Copy Aurora incremental snapshots to the us-east-1 Region.
- B. Enable synchronous replication.
- C. Create an Aurora Global Database.
- D. Enable asynchronous binlog replication.
正解:C
解説:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-global-database-disaster-recovery.html
質問 # 43
A company is going through a security audit. The audit team has identified cleartext master user password in the AWS CloudFormation templates for Amazon RDS for MySQL DB instances. The audit team has flagged this as a security risk to the database team.
What should a database specialist do to mitigate this risk?
- A. Remove the passwords from the CloudFormation templates so Amazon RDS prompts for the password when the database is being created.
- B. Use an AWS Secrets Manager resource to generate a random password and reference the secret in the CloudFormation template.
- C. Remove the passwords from the CloudFormation template and store them in a separate file. Replace the passwords by running CloudFormation using a sed command.
- D. Change all the databases to use AWS IAM for authentication and remove all the cleartext passwords in CloudFormation templates.
正解:B
質問 # 44
A database specialist is building a system that uses a static vendor dataset of postal codes and related territory information that is less than 1 GB in size. The dataset is loaded into the application's cache at start up. The company needs to store this data in a way that provides the lowest cost with a low application startup time.
Which approach will meet these requirements?
- A. Use Amazon S3 and load the data from flat files.
- B. Use Amazon DynamoDB in on-demand capacity mode.
- C. Use Amazon Aurora Serverless. Allow the service to spin resources up and down, as needed.
- D. Use an Amazon RDS DB instance. Shut down the instance once the data has been read.
正解:A
解説:
https://www.sumologic.com/insight/s3-cost-optimization/
For example, for 1 GB file stored on S3 with 1 TB of storage provisioned, you are billed for 1 GB only. In a lot of other services such as Amazon EC2, Amazon Elastic Block Storage (Amazon EBS) and Amazon DynamoDB you pay for provisioned capacity. For example, in the case of Amazon EBS disk you pay for the size of 1 TB of disk even if you just save 1 GB file. This makes managing S3 cost easier than many other services including Amazon EBS and Amazon EC2. On S3 there is no risk of over-provisioning and no need to manage disk utilization.
質問 # 45
A company is running a two-tier ecommerce application in one AWS account. The web server is deployed using an Amazon RDS for MySQL Multi-AZ DB instance. A Developer mistakenly deleted the database in the production environment. The database has been restored, but this resulted in hours of downtime and lost revenue.
Which combination of changes in existing IAM policies should a Database Specialist make to prevent an error like this from happening in the future? (Choose three.)
- A. Use AccessList Controls policy type to restrict users for database instance deletion
- B. Enable AWS CloudTrail logging and Enhanced Monitoring
- C. Enable multi-factor authentication for sensitive operations to access sensitive resources and API operations
- D. Grant least privilege to groups, users, and roles
- E. Use policy conditions to restrict access to selective IP addresses
- F. Allow all users to restore a database from a backup that will reduce the overall downtime to restore the database
正解:C、D、E
解説:
https://aws.amazon.com/blogs/database/using-iam-multifactor-authentication-with-amazon-rds/
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/security_iam_id-based-policy-htmlhttps://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/DataDurability.html
質問 # 46
A company uses an Amazon RDS for PostgreSQL DB instance for its customer relationship management (CRM) system. New compliance requirements specify that the database must be encrypted at rest.
Which action will meet these requirements?
- A. Restore a DB instance from the most recent automated snapshot and enable encryption.
- B. Modify the DB instance and enable encryption.
- C. Create an encrypted copy of manual snapshot of the DB instance. Restore a new DB instance from the encrypted snapshot.
- D. Create an encrypted read replica of the DB instance. Promote the read replica to a standalone instance.
正解:A
質問 # 47
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. 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.
- 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. 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.
正解:B
質問 # 48
Amazon Neptune is being used by a corporation as the graph database for one of its products. During an ETL procedure, the company's data science team produced enormous volumes of temporary data by unintentionally. The Neptune DB cluster extended its storage capacity automatically to handle the added data, but the data science team erased the superfluous data.
What should a database professional do to prevent incurring extra expenditures for cluster volume space that is not being used?
- A. Export the cluster data into a new Neptune DB cluster.
- B. Use the AWS CLI to turn on automatic resizing of the cluster volume.
- C. Add a Neptune read replica to the cluster. Promote this replica as a new primary DB instance. Reset the storage space of the cluster.
- D. Take a snapshot of the cluster volume. Restore the snapshot in another cluster with a smaller volume size.
正解:A
解説:
The only way to shrink the storage space used by your DB cluster when you have a large amount of unused allocated space is to export all the data in your graph and then reload it into a new DB cluster. Creating and restoring a snapshot does not reduce the amount of storage allocated for your DB cluster, because a snapshot retains the original image of the cluster's underlying storage.
質問 # 49
A company is going through a security audit. The audit team has identified cleartext master user password in the AWS CloudFormation templates for Amazon RDS for MySQL DB instances. The audit team has flagged this as a security risk to the database team.
What should a database specialist do to mitigate this risk?
- A. Remove the passwords from the CloudFormation templates so Amazon RDS prompts for the password when the database is being created.
- B. Use an AWS Secrets Manager resource to generate a random password and reference the secret in the CloudFormation template.
- C. Remove the passwords from the CloudFormation template and store them in a separate file. Replace the passwords by running CloudFormation using a sed command.
- D. Change all the databases to use AWS IAM for authentication and remove all the cleartext passwords in CloudFormation templates.
正解:B
解説:
https://aws.amazon.com/blogs/infrastructure-and-automation/securing-passwords-in-aws-quick-starts-using-aws-secrets-manager/
質問 # 50
A company hosts a 2 TB Oracle database in its on-premises data center. A database specialist is migrating the database from on premises to an Amazon Aurora PostgreSQL database on AWS.
The database specialist identifies a problem that relates to compatibility Oracle stores metadata in its data dictionary in uppercase, but PostgreSQL stores the metadata in lowercase. The database specialist must resolve this problem to complete the migration.
What is the MOST operationally efficient solution that meets these requirements?
- A. Use an AWS Glue job that is attached to an AWS Database Migration Service (AWS DMS) replication task to convert the metadata from uppercase to lowercase.
- B. Use AWS Database Migration Service (AWS DMS) mapping rules with rule-action as convert-lowercase.
- C. Override the default uppercase format of Oracle schema by encasing object names in quotation marks during creation.
- D. Use the AWS Schema Conversion Tool conversion agent to convert the metadata from uppercase to lowercase.
正解:B
解説:
https://aws.amazon.com/premiumsupport/knowledge-center/dms-mapping-oracle-postgresql/
質問 # 51
An ecommerce company uses Amazon DynamoDB as the backend for its payments system. A new regulation requires the company to log all data access requests for financial audits. For this purpose, the company plans to use AWS logging and save logs to Amazon S3 How can a database specialist activate logging on the database?
- A. Use AWS CloudTrail to monitor DynamoDB control-plane operations. Create a DynamoDB stream to monitor data-plane operations. Pass the stream to Amazon Kinesis Data Streams. Use that stream as a source for Amazon Kinesis Data Firehose to store the data in an Amazon S3 bucket.
- B. Create two trails in AWS CloudTrail. Use Trail1 to monitor DynamoDB control-plane operations. Use Trail2 to monitor DynamoDB data-plane operations.
- C. Use AWS CloudTrail to monitor DynamoDB data-plane operations. Create a DynamoDB stream to monitor control-plane operations. Pass the stream to Amazon Kinesis Data Streams. Use that stream as a source for Amazon Kinesis Data Firehose to store the data in an Amazon S3 bucket.
- D. Use AWS CloudTrail to monitor DynamoDB data-plane and control-plane operations.
正解:D
解説:
https://aws.amazon.com/about-aws/whats-new/2021/04/you-now-can-use-aws-cloudtrail-to-log-amazon-dynamodb-streams-da/
質問 # 52
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 DynamoDB global table in the us-east-1 Region with replication into the ap-northeast-1 Region. Use Amazon QuickSight for displaying dashboard results.
- B. Use an Amazon RDS DB instance deployed in the us-east-1 Region with a read replica instance in the ap- northeast-1 Region. Create an Amazon ElastiCache cluster in the ap-northeast-1 Region to cache application data from the replica to generate the dashboards.
- C. Use an Amazon Aurora global database. Deploy the writer instance in the us-east-1 Region and the replica in the ap-northeast-1 Region. Have the dashboard application read from the replica ap-northeast-1 Region.
- D. Use an Amazon RDS for MySQL DB instance deployed in the us-east-1 Region with a read replica instance in the ap-northeast-1 Region. Have the dashboard application read from the read replica.
正解:C
解説:
Explanation
https://aws.amazon.com/blogs/database/aurora-postgresql-disaster-recovery-solutions-using-amazon-aurora-glob
質問 # 53
A company is developing an application that performs intensive in-memory operations on advanced data structures such as sorted sets. The application requires sub-millisecond latency for reads and writes. The application occasionally must run a group of commands as an ACID-compliant operation. A database specialist is setting up the database for this application. The database specialist needs the ability to create a new database cluster from the latest backup of the production cluster.
Which type of cluster should the database specialist create to meet these requirements?
- A. Amazon ElastiCache for Memcached
- B. Amazon ElastiCache for Redis
- C. Amazon DynamoDB Accelerator (DAX)
- D. Amazon Neptune
正解:B
解説:
Explanation
https://aws.amazon.com/elasticache/redis-vs-memcached/
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/elasticache-use-cases.html#elasticache-for-redis-
質問 # 54
A company is using an Amazon ElastiCache for Redis cluster to host its online shopping website. Shoppers receive the following error when the website's application queries the cluster:
Which solutions will resolve this memory issues with the LEAST amount of effort? (Choose three.)
- A. Choose a larger node type.
- B. Test different values in the parameter group for the maxmemory-policy parameter to find the ideal value to use.
- C. Monitor the EngineCPUUtilization Amazon CloudWatch metric. Create an AWS Lambda function to delete keys on nodes when a threshold is reached.
- D. Reduce the TTL value for keys on the node.
- E. Increase the number of nodes.
- F. Increase the TTL value for keys on the node.
正解:A、B、D
解説:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/oom-command-not-allowed-redis/
質問 # 55
A financial company wants to store sensitive user data in an Amazon Aurora PostgreSQL DB cluster. The database will be accessed by multiple applications across the company. The company has mandated that all communications to the database be encrypted and the server identity must be validated. Any non-SSL-based connections should be disallowed access to the database.
Which solution addresses these requirements?
- A. Set the rds.force_ssl=0 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=verify-ca.
- B. Set the rds.force_ssl=0 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=allow.
- C. Set the rds.force_ssl=1 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=verify-full.
- D. Set the rds.force_ssl=1 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=disable.
正解:C
解説:
PostgreSQL: sslrootcert=rds-cert.pem sslmode=[verify-ca | verify-full]
質問 # 56
A company has two separate AWS accounts: one for the business unit and another for corporate analytics. The company wants to replicate the business unit data stored in Amazon RDS for MySQL in us-east-1 to its corporate analytics Amazon Redshift environment in us-west-1. The company wants to use AWS DMS with Amazon RDS as the source endpoint and Amazon Redshift as the target endpoint.
Which action will allow AVS DMS to perform the replication?
- A. Configure the AWS DMS replication instance in its own account and in the same Region as Amazon Redshift.
- B. Configure the AWS DMS replication instance in the same account and Region as Amazon Redshift.
- C. Configure the AWS DMS replication instance in the same account and Region as Amazon RDS.
- D. Configure the AWS DMS replication instance in the same account as Amazon Redshift and in the same Region as Amazon RDS.
正解:A
質問 # 57
A business is transferring a database from one AWS Region to another using an Amazon RDS for SQL Server DB instance. The organization wishes to keep database downtime to a minimum throughout the transfer.
Which migration strategy should the organization use for this cross-regional move?
- A. Back up the source database using native backup to an Amazon S3 bucket in the same Region. Use Amazon S3 Cross-Region Replication to copy the backup to an S3 bucket in the target Region. Then restore the backup in the target Region.
- B. Configure AWS Database Migration Service (AWS DMS) to replicate data between the source and the target databases. Once the replication is in sync, terminate the DMS task.
- C. Add an RDS for SQL Server cross-Region read replica in the target Region. Once the replication is in sync, promote the read replica to master.
- D. Back up the source database using native backup to an Amazon S3 bucket in the same Region. Then restore the backup in the target Region.
正解:B
解説:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.XRgn.html With Amazon RDS, you can create a MariaDB, MySQL, Oracle, or PostgreSQL read replica in a different AWS Region from the source DB instance. Creating a cross-Region read replica isn't supported for SQL Server on Amazon RDS.
質問 # 58
A company runs hundreds of Microsoft SQL Server databases on Windows servers in its on-premises data center. A database specialist needs to migrate these databases to Linux on AWS.
Which combination of steps should the database specialist take to meet this requirement? (Choose three.)
- A. Install AWS Systems Manager Agent on the on-premises servers. Use Systems Manager Run Command to install the Windows to Linux replatforming assistant for Microsoft SQL Server Databases.
- B. Use AWS Systems Manager Run Command to install and configure the AWS Schema Conversion Tool on the on-premises servers.
- C. On the Amazon EC2 console, launch EC2 instances and select a Linux AMI that includes SQL Server.
Install and configure AWS Systems Manager Agent on the EC2 instances. - D. On the AWS Management Console, set up Amazon RDS for SQL Server DB instances with Linux as the operating system. Install AWS Systems Manager Agent on the DB instances by using an options group.
- E. Open the Windows to Linux replatforming assistant tool. Enter configuration details of the source and destination databases. Start migration.
- F. On the AWS Management Console, set up AWS Database Migration Service (AWS DMS) by entering details of the source SQL Server database and the destination SQL Server database on AWS. Start migration.
正解:A、C、E
解説:
Explanation
https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/replatform-sql-server.html
https://d1.awsstatic.com/events/reinvent/2019/REPEAT_1_Leverage_automation_to_re-platform_SQL_Server_t
質問 # 59
A corporation intends to migrate a 500-GB Oracle database to Amazon Aurora PostgreSQL utilizing the AWS Schema Conversion Tool (AWS SCT) and AWS Data Management Service (AWS DMS). The database does not have any stored procedures, but does contain several huge or partitioned tables. Because the program is vital to the company, it is preferable to migrate with little downtime.
Which measures should a database professional perform in combination to expedite the transfer process?
(Select three.)
- A. For the large tables, change the setting for the maximum number of tables to load in parallel and perform a full load using AWS DMS.
- B. Use AWS DMS to convert the schema from Oracle to Aurora PostgreSQL and for continuous replication.
- C. Use AWS SCT to convert the schema from Oracle to Aurora PostgreSQL.
- D. Use AWS DMS to set up change data capture (CDC) for continuous replication until the cutover date.
- E. Use the AWS SCT data extraction agent to migrate the schema from Oracle to Aurora PostgreSQL.
- F. For the large tables, create a table settings rule with a parallel load option in AWS DMS, then perform a full load using DMS.
正解:C、D、F
質問 # 60
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. Applying minor version upgrades requires sufficient free space.
- B. The AWS CLI command did not include an apply-immediately parameter.
- C. Aurora has detected a breaking change in the new minor version and has automatically rejected the upgrade.
- D. The new minor version has not yet been designated as preferred and requires a manual upgrade.
- E. Configuring automatic upgrades using the AWS CLI is not supported. This must be enabled expressly using the AWS Management Console.
正解:B、D
解説:
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#
質問 # 61
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. 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.
- B. 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.
- C. 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.
- D. 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.
正解:B
解説:
Explanation
https://aws.amazon.com/blogs/database/migrating-oracle-databases-with-near-zero-downtime-using-aws-dms/
質問 # 62
A company is using an Amazon RDS for MySQL DB instance for its internal applications. A security audit shows that the DB instance is not encrypted at rest. The company's application team needs to encrypt the DB instance.
What should the team do to meet this requirement?
- A. Create an encrypted read replica of the DB instance. Promote the read replica to master. Delete the original DB instance, and update the applications to point to the new encrypted DB instance.
- B. Stop the DB instance and create a snapshot. Copy the snapshot into another encrypted snapshot. Restore the encrypted snapshot to a new encrypted DB instance. Delete the original DB instance, and update the applications to point to the new encrypted DB instance.
- C. Stop the DB instance and create an encrypted snapshot. Restore the encrypted snapshot to a new encrypted DB instance. Delete the original DB instance, and update the applications to point to the new encrypted DB instance.
- D. Stop the DB instance and modify it to enable encryption. Apply this setting immediately without waiting for the next scheduled RDS maintenance window.
正解:D
質問 # 63
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