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AmazonのAWS-Certified-Database-Specialtyの認定試験は当面いろいろな認証試験で最も価値がある試験の一つです。最近の数十年間で、コンピュータ科学の教育は世界各地の数多くの注目を得られています。AmazonのAWS-Certified-Database-Specialtyの認定試験はIT情報技術領域の欠くことができない一部ですから、IT領域の人々はこの試験認証に合格することを通じて自分自身の知識を増加して、他の分野で突破します。Tech4ExamのAmazonのAWS-Certified-Database-Specialty認定試験の問題と解答はそういう人たちのニーズを答えるために研究した成果です。この試験に合格することがたやすいことではないですから、適切なショートカットを選択するのは成功することの必要です。Tech4Examはあなたの成功を助けるために存在しているのですから、Tech4Examを選ぶということは成功を選ぶのことと等しいです。Tech4Examが提供した問題と解答はIT領域のエリートたちが研究と実践を通じて開発されて、十年間過ぎのIT認証経験を持っています。

Amazon AWS-Certified-Database-Specialty 認定試験の出題範囲:

トピック 出題範囲
トピック 1
  • 特定の種類のデータとワークロードに適したデータベースサービスを選択する
  • データベースのパフォーマンスを最適化する

トピック 2
  • データの保存と転送中の暗号化
  • データ移行の実行と検証
  • 監視とトラブルシューティング

トピック 3
  • データの準備と移行の戦略を決定する
  • データベースソリューションの展開を自動化する

トピック 4
  • 監査ソリューションの評価
  • 導入と移行
  • 管理と運用
  • データベースのセキュリティ

トピック 5
  • データベースソリューションの運用環境を管理するドメイン
  • パフォーマンス、コンプライアンス、およびスケーラビリティのためのデータベースソリューションを設計する

トピック 6
  • アクセス制御と認証メカニズムを決定する
  • ディザスタリカバリと高可用性のための戦略を決定する

トピック 7
  • データベースソリューション
  • ワークロード固有のデータベース設計内の潜在的なセキュリティの脆弱性を認識する


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AWS-Certified-Database-Specialty最新知識 & AWS-Certified-Database-Specialtyテスト問題集

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Amazon AWS Certified Database - Specialty (DBS-C01) Exam 認定 AWS-Certified-Database-Specialty 試験問題 (Q99-Q104):

質問 # 99
A company is planning to use Amazon RDS for SQL Server for one of its critical applications. The company's security team requires that the users of the RDS for SQL Server DB instance are authenticated with on-premises Microsoft Active Directory credentials.
Which combination of steps should a database specialist take to meet this requirement? (Choose three.)

  • A. Create an IAM user that uses the AmazonRDSDirectoryServiceAccess managed IAM policy.
  • B. Create a directory by using AWS Directory Service for Microsoft Active Directory.
  • C. Extend the on-premises Active Directory to AWS by using AD Connector.
  • D. Create an Active Directory domain controller on Amazon EC2.
  • E. Create a one-way forest trust from the AWS Directory Service for Microsoft Active Directory directory to the on-premises Active Directory.
  • F. Create an IAM role that uses the AmazonRDSDirectoryServiceAccess managed IAM policy.

正解:B、E、F
質問 # 100
A company is writing a new survey application to be used with a weekly televised game show. The application will be available for 2 hours each week. The company expects to receive over 500,000 entries every week, with each survey asking 2-3 multiple choice questions of each user. A Database Specialist needs to select a platform that is highly scalable for a large number of concurrent writes to handle he anticipated volume.
Which AWS services should the Database Specialist consider? (Choose two.)

  • A. Amazon DynamoDB
  • B. Amazon Neptune
  • C. Amazon Redshift
  • D. Amazon ElastiCache
  • E. Amazon Elasticsearch Service

正解:A、D
質問 # 101
A Database Specialist is troubleshooting an application connection failure on an Amazon Aurora DB cluster with multiple Aurora Replicas that had been running with no issues for the past 2 months. The connection failure lasted for 5 minutes and corrected itself after that. The Database Specialist reviewed the Amazon RDS events and determined a failover event occurred at that time. The failover process took around 15 seconds to complete.
What is the MOST likely cause of the 5-minute connection outage?

  • A. After a database crash, Aurora needed to replay the redo log from the last database checkpoint
  • B. After failover, the Aurora DB cluster needs time to warm up before accepting client connections
  • C. There were no active Aurora Replicas in the Aurora DB cluster
  • D. The client-side application is caching the DNS data and its TTL is set too high

正解:D 解説:
When your application tries to establish a connection after a failover, the new Aurora PostgreSQL writer will be a previous reader, which can be found using the Aurora read only endpoint before DNS updates have fully propagated. Setting the java DNS TTL to a low value helps cycle between reader nodes on subsequent connection attempts.
Amazon Aurora is designed to recover from a crash almost instantaneously and continue to serve your application data. Unlike other databases, after a crash Amazon Aurora does not need to replay the redo log from the last database checkpoint before making the database available for operations. Amazon Aurora performs crash recovery asynchronously on parallel threads, so your database is open and available immediately after a crash. Because the storage is organized in many small segments, each with its own redo log, the underlying storage can replay redo records on demand in parallel and asynchronously as part of a disk read after a crash. This approach reduces database restart times to less than 60 seconds in most cases
質問 # 102
A database specialist was alerted that a production Amazon RDS MariaDB instance with 100 GB of storage was out of space. In response, the database specialist modified the DB instance and added 50 GB of storage capacity. Three hours later, a new alert is generated due to a lack of free space on the same DB instance. The database specialist decides to modify the instance immediately to increase its storage capacity by 20 GB.
What will happen when the modification is submitted?

  • A. The request will succeed only if CPU utilization is less than 10%.
  • B. The request will fail as the most recent modification was too soon.
  • C. The request will fail because this storage capacity is too large.
  • D. The request will succeed only if the primary instance is in active status.

正解:B 解説:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_PIOPS.StorageTypes.html
質問 # 103
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. Preprovision additional capacity for the known peaks and then reduce the capacity after the event
  • B. Set an AWS Application Auto Scaling policy for the table to handle the increase in traffic
  • C. Allow burst capacity to handle the additional load
  • D. Ensure the table is always provisioned to meet peak needs

正解:A 解説:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-partition-key-design.html#bp-partition-key-throughput-bursting
"DynamoDB provides some flexibility in your per-partition throughput provisioning by providing burst capacity. Whenever you're not fully using a partition's throughput, DynamoDB reserves a portion of that unused capacity for later bursts of throughput to handle usage spikes. DynamoDB currently retains up to 5 minutes (300 seconds) of unused read and write capacity. During an occasional burst of read or write activity, these extra capacity units can be consumed quickly-even faster than the per-second provisioned throughput capacity that you've defined for your table. DynamoDB can also consume burst capacity for background maintenance and other tasks without prior notice. Note that these burst capacity details might change in the future."
質問 # 104
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