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NEW QUESTION: 1
A developer is tasked with building an application to process shipping requests. The developer is consulting the vSphere team to determine failover options and performance best practices.
* The development team is providing three physical ESXi hosts with 8 CPU cores and 256G8 of RAM per host.
* The developer does NOT know how many virtual machines they will require.
Which virtual machine (VM) sizing strategy will provide the highest level of uptime, individual VM performance, and failover capacity?
A. A few large 8 vCPU VMs per host protected by vSphere HA.
B. Many small l vCPU VMs participating in an OS level clustered application protected by vSphere Fault Tolerance.
C. A few large 8 vCPU VMs per host protected by vSphere Fault Tolerance.
D. Many small 1 vCPU VMs participating in an OS level clustered application protected by vSphere HA.
Answer: C
NEW QUESTION: 2
You are analyzing a packet capture from your network running OSPF. You see a Type 2 LSA.
Which type of router originated the packet?
A. DR
B. ABR
C. BDR
D. ASBR
Answer: A
NEW QUESTION: 3
A company purchases IoT devices to monitor manufacturing machinery. The company uses an IoT appliance to communicate with the IoT devices.
The company must be able to monitor the devices in real-time.
You need to design the solution.
What should you recommend?
A. Azure Data Factory instance using Azure Portal
B. Azure Analysis Services using Microsoft Visual Studio
C. Azure Stream Analytics cloud job using Azure Portal
D. Azure Data Factory instance using Azure Portal
Answer: C
Explanation:
The Stream Analytics query language allows to perform CEP (Complex Event Processing) by offering a wide array of functions for analyzing streaming data. This query language supports simple data manipulation, aggregation and analytics functions, geospatial functions, pattern matching and anomaly detection. You can edit queries in the portal or using our development tools, and test them using sample data that is extracted from a live stream.
Note: Stream Analytics is a cost-effective event processing engine that helps uncover real-time insights from devices, sensors, infrastructure, applications and data quickly and easily.
Monitor and manage Stream Analytics resources with Azure PowerShell cmdlets and powershell scripting that execute basic Stream Analytics tasks.
Reference:
https://cloudblogs.microsoft.com/sqlserver/2014/10/29/microsoft-adds-iot-streaming-analytics-data-production-and-workflow-services-to-azure/
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-introduction