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NEW QUESTION: 1
Drag and Drop - STP Timer Delay (Concepts Only)
Answer:
Explanation:
NEW QUESTION: 2
クラウド内のIoTデータのリアルタイム分析を実行するソリューションを開発しています。
ソリューションは、Azureサービスの更新中も引き続き利用可能である必要があります。
ソリューションを推奨する必要があります。
推奨する2つのアクションはどれですか？それぞれの正解はソリューションの一部を示しています。
注：それぞれの正しい選択には1ポイントの価値があります。
A. Azure Stream Analyticsジョブをペアリージョンの1つのリージョンにデプロイします。
B. Azure Stream Analyticsジョブを、ペアになっていない2つの別個のリージョンにデプロイします。
C. 両方の地域のジョブの障害を監視します。
D. Azure Stream Analyticsジョブをペアのリージョンの各リージョンにデプロイします。
E. プライマリリージョンのジョブの障害を監視します。
Answer: C,D
Explanation:
Explanation
Stream Analytics guarantees jobs in paired regions are updated in separate batches. As a result there is a sufficient time gap between the updates to identify potential breaking bugs and remediate them.
Customers are advised to deploy identical jobs to both paired regions.
In addition to Stream Analytics internal monitoring capabilities, customers are also advised to monitor the jobs as if both are production jobs. If a break is identified to be a result of the Stream Analytics service update, escalate appropriately and fail over any downstream consumers to the healthy job output. Escalation to support will prevent the paired region from being affected by the new deployment and maintain the integrity of the paired jobs.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-job-reliability
NEW QUESTION: 3
A. Option D
B. Option A
C. Option C
D. Option E
E. Option B
Answer: A,B
NEW QUESTION: 4
A company runs an application on Amazon EC2 instances behind an Application Load Balancer.
The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones in us- east1. The application stores data in an Amazon RDS MySQL Multi-AZ DB instance. A DevOps Engineer wants to modify the current solution and create a hot standby of the environment in another region to minimize downtime if a problem occurs in us-east-1. Which combination of steps should the DevOps Engineer take to meet these requirements? (Select THREE.)
A. Deploy a read replica of the RDS instance in the disaster recovery region.
B. Create an AWS Lambda function to evaluate the health of the primary region. If it fails, modify the Amazon Route 53 record to point at the disaster recovery region and elect the RDS master.
C. Extend the current Auto Scaling group to the subnets in the disaster recovery region.
D. Add a health check to the Amazon Route 53 alias record to evaluate the health of the primary region.
Use AWS Lambda, configured with an Amazon CloudWatch Events trigger, to elect the Amazon RDS master in the disaster recovery region.
E. Enable multi-region failover for the RDS configuration for the database instance.
F. Create a new Application Load Balancer and Auto Scaling group in the disaster recovery region.
Answer: A,C,F