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NEW QUESTION: 1
Fill in the blank: The R80 utility fw monitor is used to troubleshoot ________.
A. Traffic issues
B. LDAP conflicts
C. Phase two key negotiations
D. User data base corruption
Answer: A
Explanation:
Explanation
Check Point's FW Monitor is a powerful built-in tool for capturing network traffic at the packet level. The FW Monitor utility captures network packets at multiple capture points along the FireWall inspection chains.
These captured packets can be inspected later using the WireShark

NEW QUESTION: 2
You have a hybrid Microsoft Azure Active Directory (Azure AD) tenant, a Microsoft System Center Configuration Manager (Current Branch) environment, and a Microsoft 365 subscription.
You have computers that run Windows 10 as shown in the following table.

You plan to use Microsoft 365 Device Management.
Which computers support co-management by Configuration Manager and Device Management?
A. Computer1 and Computer2 only
B. Computer1, Computer2, and Computer3
C. Computer2 only
D. Computer3 only
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/mem/configmgr/comanage/overview

NEW QUESTION: 3
서버리스 애플리케이션은 API 게이트웨이와 AWS 람다를 사용합니다. Lambda 함수는 어디에서 함수 호출을 통해 세션 정보를 저장해야 합니까?
A. Amazon DynamoDB 테이블에서
B. 로컬 파일 시스템에서
C. -DSQLITE_ENABLE_SESSION을 사용하는 SQLite 세션 테이블
D. Amazon SQS 대기열에서
Answer: A

NEW QUESTION: 4

クラウドウォッチがジョブリクエスト（キューに入れられたメッセージ）とAuto Scalingグループの数を監視するバッチプロセッサとして使用されるEC2インスタンス間にメッセージキューを設定するために、Simple Queue Service（SQS）を使用するバッチ処理ソリューションの上記のアーキテクチャ図を参照してくださいCloud Watchアラームで設定されたパラメーターに基づいて、バッチサーバーを自動的に追加または削除します。
このアーキテクチャを使用して、次の機能のどれを費用対効果の高い効率的な方法で実装できますか？
A. EC2インスタンスの数とジョブ要求の数を自動的に調整するため、費用対効果が向上します。
B. 優先度メタデータフィールドをSQSメッセージに割り当てることにより、優先度の低いジョブの前に優先度の高いジョブを処理します。
C. EC2インスタンスの障害に対するフォールトトレランスを実装します。メッセージはSQSに残り、EC2インスタンスの回復を続行できるため、メッセージをS3にバックアップすることでSQS障害に対するフォールトトレランスを実装できます。
D. メッセージを受信するビジーなEC2インスタンスがデイジーチェーン設定で次のインスタンスにメッセージを渡すことを許可することにより、並列処理によるジョブ実行の全体的な時間を短縮します。
E. SQSを介してメッセージを交換することにより、バッチ内のEC2インスタンス間でメッセージの受け渡しを実装します。
Answer: A
Explanation:
Explanation
There are cases where a large number of batch jobs may need processing, and where the jobs may need to be re-prioritized.
For example, one such case is one where there are differences between different levels of services for unpaid users versus subscriber users (such as the time until publication) in services enabling, for example, presentation files to be uploaded for publication from a web browser. When the user uploads a presentation file, the conversion processes, for example, for publication are performed as batch processes on the system side, and the file is published after the conversion. Is it then necessary to be able to assign the level of priority to the batch processes for each type of subscriber?
Explanation of the Cloud Solution/Pattern
A queue is used in controlling batch jobs. The queue need only be provided with priority numbers. Job requests are controlled by the queue, and the job requests in the queue are processed by a batch server. In Cloud computing, a highly reliable queue is provided as a service, which you can use to structure a highly reliable batch system with ease. You may prepare multiple queues depending on priority levels, with job requests put into the queues depending on their priority levels, to apply prioritization to batch processes. The performance (number) of batch servers corresponding to a queue must be in accordance with the priority level thereof.
Implementation
In AWS, the queue service is the Simple Queue Service (SQS). Multiple SQS queues may be prepared to prepare queues for individual priority levels (with a priority queue and a secondary queue). Moreover, you may also use the message Delayed Send function to delay process execution.
Use SQS to prepare multiple queues for the individual priority levels.
Place those processes to be executed immediately (job requests) in the high priority queue.
Prepare numbers of batch servers, for processing the job requests of the queues, depending on the priority levels.
Queues have a message "Delayed Send" function. You can use this to delay the time for starting a process.
Configuration

Benefits
You can increase or decrease the number of servers for processing jobs to change automatically the processing speeds of the priority queues and secondary queues.
You can handle performance and service requirements through merely increasing or decreasing the number of EC2 instances used in job processing.
Even if an EC2 were to fail, the messages (jobs) would remain in the queue service, enabling processing to be continued immediately upon recovery of the EC2 instance, producing a system that is robust to failure.
Cautions
Depending on the balance between the number of EC2 instances for performing the processes and the number of messages that are queued, there may be cases where processing in the secondary queue may be completed first, so you need to monitor the processing speeds in the primary queue and the secondary queue.