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NEW QUESTION: 1
The DLP solution has been showing some unidentified encrypted data being sent using FTP to a remote server. A vulnerability scan found a collection of Linux servers that are missing OS level patches. Upon further investigation, a technician notices that there are a few unidentified processes running on a number of the servers. What would be a key FIRST step for the data security team to undertake at this point?
A. Capture process ID data and submit to anti-virus vendor for review.
B. Conduct a bit level image, including RAM, of one or more of the Linux servers.
C. Reboot the Linux servers, check running processes, and install needed patches.
D. Remove a single Linux server from production and place in quarantine.
E. Notify upper management of a security breach.
Answer: B

NEW QUESTION: 2
All services of Oracle Applications R12 (application tier and database tier) are down. On which tier would the preclone finish successfully?
A. none of the tiers
B. database tier only
C. application tier only
D. both application and database tiers
Answer: C

NEW QUESTION: 3
あなたの会社は、顧客向けイベント登録サイトを運営しています。このサイトは、Webおよびアプリケーション層サーバーとMySQLデータベースを備えた3層アーキテクチャーで構築されています。最小65％のサーバー容量と単一のMySQLデータベース。
このアプリケーションを3つのアベイラビリティーゾーン（AZ）がある地域にデプロイする場合、どのアーキテクチャーが高可用性を提供しますか？
A. ELB（エラスティックロードバランサ）の背後にあるAuto Scalingグループ内の各AZに3つのEC2（Elastic Compute Cloud）インスタンスを持つ2つのAZにまたがってデプロイされたWeb層、および各AZに3つのEC2インスタンスを持つ2つのAZにまたがってデプロイされるアプリケーション層ELBの背後にあるAuto Scaling Group内、および他のAZにリードレプリカを配置した1つのRDS（Relational Database Service）インスタンス。
B. ELB（エラスティックロードバランサ）の背後にあるAuto Scalingグループ内の各AZに3つのEC2（Elastic Compute Cloud）インスタンスを持つ2つのAZにまたがってデプロイされたWeb層ELSおよびMulti-AZ RDS（リレーショナルデータベースサービス）展開の背後にあるAuto Scalingグループ。
C. ELB（エラスティックロードバランサー）の背後にあるAuto Scaling Group内の各AZに2つのEC2（Elastic Compute Cloud）インスタンスを持つ3つのAZにまたがってデプロイされたWeb層ELBの背後にあるAuto Scaling Groupと、他の2つのAZにリードレプリカを配置した1つのRDS（Relational Database Service）インスタンス。
D. ELB（エラスティックロードバランサ）の背後にあるAuto Scalingグループ内の各AZに2つのEC2（Elastic Compute Cloud）インスタンスを持つ3つのAZにまたがってデプロイされたWeb層。また、1つのアプリケーション層が3つのAZにまたがって配置され、ELBおよびマルチAZ RDS（リレーショナルデータベースサービス）配置の背後にあるAuto Scalingグループ内の各AZに2つのEC2インスタンスが配置されました。
Answer: D
Explanation:
Explanation
Amazon RDS Multi-AZ Deployments
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure (for example, instance hardware failure, storage failure, or network disruption), Amazon RDS performs an automatic failover to the standby, so that you can resume database operations as soon as the failover is complete. Since the endpoint for your DB Instance remains the same after a failover, your application can resume database operation without the need for manual administrative intervention.
Enhanced Durability
Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines utilize synchronous physical replication to keep data on the standby up-to-date with the primary. Multi-AZ deployments for the SQL Server engine use synchronous logical replication to achieve the same result, employing SQL Server-native Mirroring technology. Both approaches safeguard your data in the event of a DB Instance failure or loss of an Availability Zone.
If a storage volume on your primary fails in a Multi-AZ deployment, Amazon RDS automatically initiates a failover to the up-to-date standby. Compare this to a Single-AZ deployment: in case of a Single-AZ database failure, a user-initiated point-in-time-restore operation will be required. This operation can take several hours to complete, and any data updates that occurred after the latest restorable time (typically within the last five minutes) will not be available.
Amazon Aurora employs a highly durable, SSD-backed virtualized storage layer purpose-built for database workloads. Amazon Aurora automatically replicates your volume six ways, across three Availability Zones.
Amazon Aurora storage is fault-tolerant, transparently handling the loss of up to two copies of data without affecting database write availability and up to three copies without affecting read availability. Amazon Aurora storage is also self-healing. Data blocks and disks are continuously scanned for errors and replaced automatically.
Increased Availability
You also benefit from enhanced database availability when running Multi-AZ deployments. If an Availability Zone failure or DB Instance failure occurs, your availability impact is limited to the time automatic failover takes to complete: typically under one minute for Amazon Aurora and one to two minutes for other database engines (see the RDS FAQ for details).
The availability benefits of Multi-AZ deployments also extend to planned maintenance and backups. In the case of system upgrades like OS patching or DB Instance scaling, these operations are applied first on the standby, prior to the automatic failover. As a result, your availability impact is, again, only the time required for automatic failover to complete.
Unlike Single-AZ deployments, I/O activity is not suspended on your primary during backup for Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines, because the backup is taken from the standby.
However, note that you may still experience elevated latencies for a few minutes during backups for Multi-AZ deployments.
On instance failure in Amazon Aurora deployments, Amazon RDS uses RDS Multi-AZ technology to automate failover to one of up to 15 Amazon Aurora Replicas you have created in any of three Availability Zones. If no Amazon Aurora Replicas have been provisioned, in the case of a failure, Amazon RDS will attempt to create a new Amazon Aurora DB instance for you automatically.

NEW QUESTION: 4
勤務スケジュールルールには、金曜日と半日の祝日の通常勤務時間の半分を含める必要があります。欠席と割り当ての控除は日数で計算されます。これらの日の1日の欠勤に比例して、1日の割り当て量をどのように比例的に削減しますか。
この質問には3つの正しい答えがあります。
応答：
A. 日数の50％クォータ乗数を含めるようにカウントルールを設定します。
B. 当日のさまざまな条件を照会するためのカウント規則を設定します。
C. 数時間に50％の割り当て乗数を含めるようにカウントルールを設定します。
D. さまざまな休日クラスを照会するための控除規則を設定します。
E. さまざまな休日クラスを照会するためのカウント規則を設定します。
Answer: A,B,E

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