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NEW QUESTION: 1
You have a Microsoft 365 subscription that uses a default domain named contoso.com.
Three files were created on February 1, 2019, as shown in the following table.

On March 1, 2019, you create two retention labels named Label1 and Label2.
The settings for Lable1 are configured as shown in the Label1 exhibit. (Click the Label1 tab.)

The settings for Lable2 are configured as shown in the Label2 exhibit. (Click the Label2 tab.)

You apply the retention labels to Exchange email, SharePoint sites, and OneDrive accounts.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: No
Retention overrides deletion.
Box 2: No
Content in a document library will be moved to the first-stage Recycle Bin within 7 days of disposition, and then permanently deleted another 93 days after that. Thus 100 days in total.
Box 3: No
Items in an Exchange mailbox will be permanently deleted within 14 days of disposition.
References:
https://docs.microsoft.com/en-us/office365/securitycompliance/labels
https://docs.microsoft.com/en-us/office365/securitycompliance/disposition-reviews

NEW QUESTION: 2
A newborn has been delivered. An Apgar score is given. What does this scoring system indicate?
A. bleeding, reflex, edema
B. heart rate, respiratory effort, color, muscle tone, reflex irritability
C. respiratory effort, heart rate, seizures
D. heart rate, bleeding, cyanosis, edema
Answer: B
Explanation:
The Apgar scoring system was put into place by Virginia Apgar, an anesthesiologist in New York, for the purpose of assessing newborns in the areas of heart rate, respiratory effort, color, muscle tone, and reflex irritability at 1, 5, and sometimes 10 minutes after birth.
Safety and Infection Control

NEW QUESTION: 3
You want to upgrade a cluster with two members to R76. The Security Management Server and both members are version NGX R65, with the latest Hot fix Accumulator. What is the correct upgrade procedure?
1. Change the version in the General Properties of the Gateway-cluster object.
2. Upgrade the Security Management Server, and reboot.
3. Run cpstop on one member, while leaving the other member running. Upgrade one member at a time and reboot after upgrade.
4. Reinstall the Security Policy.
A. 3,2,1,4
B. 2,3,1,4
C. 1, 3,2,4
D. 2,4,3,1
Answer: B

NEW QUESTION: 4
あなたの会社は顧客向けの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層アーキテクチャで構築されています。アプリケーションは通常の運用に6つのWeb層サーバーと6つのアプリケーション層サーバーを必要としますが、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）がある地域に展開する場合、どのアーキテクチャ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）インスタンスがある3つのAZに展開されたWeb層と、それぞれ2つのEC2インスタンスを持つ3つのAZに展開されたアプリケーション層ELBの背後のAuto Scaling Group内のAZと、他の2つのAZにリードレプリカでデプロイされた1つのRDS（リレーショナルデータベースサービス）インスタンス。
B. 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3つのEC2（Elastic Compute Cloud）インスタンスを持つ2つのAZに展開されたWeb層、および3つのEC2インスタンスを持つ2つのAZに展開されたアプリケーション層ELBの背後にあるAuto Scaling Group内の各AZと、もう一方のAZにリードレプリカでデプロイされた1つのRDS（リレーショナルデータベースサービス）インスタンス。
C. ELB（エラスティックロードバランサー）の背後の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に展開されたWeb層。また、ELB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 Group内の各AZに2つのEC2インスタンスを持つ3つのAZに展開されたアプリケーション層。
D. 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3つのEC2（Elastic Compute Cloud）インスタンスを持つ2つのAZに展開されるWeb層と、それぞれ3つのEC2インスタンスを持つ2つのAZに展開されるアプリケーション層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 Group内のAZ。
Answer: C
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.