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NEW QUESTION: 1
Monitoring alarms should be set based on:
A. Ahigh point for every performance counter in the system.
B. The point of application installation.
C. Acceptable application performance criteria.
D. Support availability.
Answer: C

NEW QUESTION: 2
회사는 Azure Service Bus를 사용하여 게시 - 구독 (Pub / Sub) 메시징 구성 요소를 구현합니다. 첫 번째 구독 응용 프로그램을 개발 중입니다.
Azure 포털에서는 메시지가 각 주제에 대한 구독으로 보내지는 것을 볼 수 있습니다. 올바른 세부 정보를 제공하여 구독 클라이언트 개체를 만들고 초기화하지만 구독 응용 프로그램은 여전히 ​​메시지를 소비하지 않습니다.
구독 클라이언트의 소스 코드를 완성해야합니다.
당신은 무엇을해야합니까?
A. await subscriptionClient.AddRuleAsync (새 RuleDescription (RuleDescription.DefaultRuleName, 새 TrueFilter ()));
B. await subscriptionClient.CloseAsync ();
C. subscriptionClient = 새 SubscriptionClient (ServiceBusConnectionString, TopicName, SubscriptionName);
D. subscriptionClient.RegisterMessageHandler (ProcessMessagesAsync, messageHandlerOptions);
Answer: D
Explanation:
Explanation
Using topic client, call RegisterMessageHandler which is used to receive messages continuously from the entity. It registers a message handler and begins a new thread to receive messages. This handler is waited on every time a new message is received by the receiver.
subscriptionClient.RegisterMessageHandler(ReceiveMessagesAsync, messageHandlerOptions); References:
https://www.c-sharpcorner.com/article/azure-service-bus-topic-and-subscription-pub-sub/

NEW QUESTION: 3
A company has a large on-premises Apache Hadoop cluster with a 20 PB HDFS database. The cluster is growing every quarter by roughly 200 instances and 1 PB. The company's goals are to enable resiliency for its Hadoop data, limit the impact of losing cluster nodes, and significantly reduce costs. The current cluster runs
24/7 and supports a variety of analysis workloads, including interactive queries and batch processing.
Which solution would meet these requirements with the LEAST expense and down time?
A. Use AWS Direct Connect to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
B. Use AWS Snowball to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workloads based on historical data from the on-premises cluster. Store the on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
C. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
D. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster of similar size and configuration to the current cluster. Store the data on EMRFS.
Minimize costs by using Reserved Instances. As the workload grows each quarter, purchase additional Reserved Instances and add to the cluster.
Answer: C
Explanation:
Explanation
Q: How should I choose between Snowmobile and Snowball?
To migrate large datasets of 10PB or more in a single location, you should use Snowmobile. For datasets less than 10PB or distributed in multiple locations, you should use Snowball. In addition, you should evaluate the amount of available bandwidth in your network backbone. If you have a high speed backbone with hundreds of Gb/s of spare throughput, then you can use Snowmobile to migrate the large datasets all at once. If you have limited bandwidth on your backbone, you should consider using multiple Snowballs to migrate the data incrementally.