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NEW QUESTION: 1
単一のAWSアカウントを持つマルチメディア企業がグローバルユーザーベースのアプリケーションを起動していますアプリケーションのストレージと帯域幅の要件は予測できませんアプリケーションはWeb層としてApplication Load Balancerの背後にあるAmazon EC2インスタンスを使用し、データベース層としてAmazon DynamoDBを使用しますアプリケーションの環境は、次の要件を満たしている必要があります
*世界のどこからでもアクセスできる低レイテンシ
* WebSocketサポート
*エンドツーエンドの暗号化
*最新のセキュリティ脅威に対する保護
*マネージドレイヤー7 DDoS保護
これらの要件を満たすために、ソリューションアーキテクトはどのようなアクションを実行する必要がありますか？ （2つ選択）
A. AWS Shield AdvancedでAWS WAFを使用してアプリケーションを保護する
B. Amazon Route 53とAmazon CloudFront torのコンテンツ配信を使用するAmazon S3を使用して静的コンテンツを保存する
C. Amazon Route 53およびAWS Transit Gateway torコンテンツ配信を使用するAmazon Elastic Block Store（Amazon EBS）ボリュームを使用して静的コンテンツを保存する
D. AWSシールド標準を使用してアプリケーションを保護します
E. AWS WAFとAmazon Detectiveを使用してアプリケーションを保護します
Answer: A,B

NEW QUESTION: 2
You have a strict-high queue configured. You notice that under bursty traffic conditions, there are tail drops on the strict-high queue.
Which action would solve this problem?
A. Assign a policer on egress to assign a low packet loss priority to the strict-high queue.
B. Assign a policer on ingress to assign a low packet loss priority to the strict-high queue.
C. Decrease the buffer size of the strict-high queue.
D. Increase the buffer size of the strict-high queue.
Answer: D
Explanation:
Explanation/Reference:
A queue with strict-high priority is assured unlimited transmission bandwidth but is not actually assigned a large delay buffer. Not configuring a transmit-rate or an explicit buffer-size on a strict-high priority queue only ensures that the queue gets assigned a default minimum delay buffer, making it possible, under bursty conditions, to see tail-drops on strict-high priority queues. Assigning a small transmit-rate or an explicit temporal or percentage buffer-size to the queue ensures that the queue has a large enough buffer to hold bursts and protect against tail-drops.
References: http://www.juniper.net/documentation/en_US/junos15.1/topics/usage-guidelines/cos- configuring-schedulers-for-priority-scheduling.html

NEW QUESTION: 3
A storage administrator discovers vSAN is rebalancing components across a cluster randomly and faces degraded performance on the applications.
What should be done to avoid these issues?
A. Keep total storage consumption <70 percent
B. Size at least two disk groups on each node
C. Maintain a minimum of 10 percent unused capacity
D. Ensure there is sufficient queue depth on the I/O Controller
Answer: A
Explanation:
https://docs.vmware.com/en/VMware-vSphere/6.7/com.vmware.vsphere.vsan-planning.doc/GUID-581D2D5C-A88F-4318-A8B3-5A5F343F1247.html According to VMware documentation, "Keep at least 30 percent unused space to prevent vSAN from rebalancing the storage load. vSAN rebalances the components across the cluster whenever the consumption on a single capacity device reaches 80 percent or more. The rebalance operation might impact the performance of applications. To avoid these issues, keep storage consumption to less than 70 percent. "