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The following information is for technical support purposes only:
Lab Instance: 11024416
You need to ensure that a copy of all the phishing email messages sent to a user named Allan Deyoung are delivered to [email protected].
To complete this task, sign in to the Microsoft 365 admin center.
Answer:
Explanation:
See explanation below
Explanation
You need to configure an ATP (Advanced Threat Protection) phishing policy.
1. Go to the Office 365 Security & Compliance Center.
2. Expand Threat Management and select Policy.
3. Click on ATP Anti-Phishing.
4. Click the +Create button to create a new anti-phishing policy.
5. Enter a name such as "Allan Deyoung policy" and click Next.
6. In the 'Applied to' page, click the 'Add a condition' button.
7. Under 'Applied if', select 'The recipient is'.
8. Enter the name Allan Deyoung then click Next.
9. On the 'Review your settings' page, click the 'Create this policy' button to create the policy.
10. Select the policy to open the policy settings.
11. Click the Edit link to edit the policy.
12. In the Actions section, select 'Deliver the message and add other addresses to the Bcc line'.
13. Enter [email protected] for the BCC address.
14. Click Save to save the changes.
Reference:
https://docs.microsoft.com/en-us/microsoft-365/security/office-365-security/set-up-anti-phishing-policies?view=

NEW QUESTION: 2
Examine the following partial output from a sniffer command; then answer the question below.
# diagnose sniff packet any 'icmp' 4
interfaces=[any]
filters=[icmp]
2 .101199 wan2 in 192.168.1.110 -> 4.2.2.2: icmp: echo request
2 .1011400 wan1 out 172.17.87.16 -> 4.2.2.2: icmp: echo request
. ....
2 .123500 wan2 out 4.2.2.2 -> 192.168.1.110: icmp: echo reply
2 44 packets received by filter
5 packets dropped by kernel
What is the meaning of the packets droppedcounter at the end of the sniffer?
A. Number of packets that matched the sniffer filter but could not be captured by the sniffer.
B. Number of packets that didn't match the sniffer filter.
C. Number of total packets dropped by the FortiGate.
D. Number of packets that matched the sniffer filter and were dropped by the FortiGate.
Answer: D

NEW QUESTION: 3
3層EコマースWebアプリケーションは現在オンプレミスにデプロイされており、スケーラビリティと弾力性を高めるためにAWSに移行されます。 Webサーバーは現在、ネットワーク分散ファイルシステムを使用して読み取り専用データを共有しています。アプリケーションサーバー層は、IPマルチキャストに依存する検出と共有セッション状態にクラスタリングメカニズムを使用します。データベース層は、データベースのフォールオーバー機能を提供するために共有ストレージクラスタリングを使用し、スケーリングのために複数の読み取りスレーブを使用します。すべてのサーバーと分散ファイルシステムディレクトリのデータは、毎週オフサイトテープにバックアップされます。
どのAWSストレージおよびデータベースアーキテクチャがアプリケーションの要件を満たしていますか？
A. Webサーバー：読み取り専用データをS3に格納し、起動時にS3からルートボリュームにコピーします。アプリサーバー：
DynamoDBとIPユニキャストの組み合わせを使用して状態を共有します。データベース：マルチAZ配置と1つ以上のリードレプリカでRDSを使用します。バックアップ：スナップショットを使用してGlacierに毎週バックアップされたWebサーバー、アプリケーションサーバー、およびデータベース。
B. Webサーバー：読み取り専用データをEC2 NFSサーバーに格納します。起動時に各Webサーバーにマウントします。アプリケーションサーバー：DynamoDBとIPマルチキャストの組み合わせを使用して状態を共有します。データベース：マルチAZ配置と1つ以上のリードレプリカでRDSを使用します。バックアップ：WebおよびアプリケーションサーバーはAMIを介して毎週バックアップされ、データベースはDBスナップショットを介してバックアップされます。
C. Webサーバー：S3に読み取り専用データを保存し、起動時にS3からルートボリュームにコピーします。アプリサーバー：
DynamoDBとIPユニキャストの組み合わせを使用して状態を共有します。データベース：マルチAZ配置と1つ以上のリードレプリカでRDSを使用します。バックアップ：WebおよびアプリケーションサーバーはAMIを介して毎週バックアップされ、データベースはDBスナップショットを介してバックアップされます。
D. Webサーバー：読み取り専用データをS3に格納し、起動時にS3からルートボリュームにコピーします。アプリサーバー：
DynamoDBとIPユニキャストの組み合わせを使用して状態を共有します。データベース：マルチAZ配置でRDSを使用します。バックアップ：WebおよびアプリケーションサーバーはAMIを介して毎週バックアップされ、データベースはDBスナップショットを介してバックアップされます。
Answer: C
Explanation:
Explanation
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.
Benefits
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.
No Administrative Intervention
DB Instance failover is fully automatic and requires no administrative intervention. Amazon RDS monitors the health of your primary and standbys, and initiates a failover automatically in response to a variety of failure conditions.
Failover conditions
Amazon RDS detects and automatically recovers from the most common failure scenarios for Multi-AZ deployments so that you can resume database operations as quickly as possible without administrative intervention. Amazon RDS automatically performs a failover in the event of any of the following:
Loss of availability in primary Availability Zone
Loss of network connectivity to primary
Compute unit failure on primary
Storage failure on primary
Note: When operations such as DB Instance scaling or system upgrades like OS patching are initiated for Multi-AZ deployments, for enhanced availability, they are applied first on the standby prior to an automatic failover. As a result, your availability impact is limited only to the time required for automatic failover to complete. Note that Amazon RDS Multi-AZ deployments do not failover automatically in response to database operations such as long running queries, deadlocks or database corruption errors.