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NEW QUESTION: 1
Which of the following allows multiple operating systems (guests) to run concurrently on a host computer?
A. CP/CMS
B. Hypervisor
C. Emulator
D. Grid computing
Answer: B
Explanation:
Explanation/Reference:
Explanation: A hypervisor is a virtualization technique that allows multiple operating systems (guests) to run concurrently on a host computer. It is also called the virtual machine monitor (VMM). The hypervisor provides a virtual operating platform to the guest operating systems and checks their execution process. It provides isolation to the host's resources. The hypervisor is installed on server hardware. AnswerA is incorrect. Emulator duplicates the functions of one system using a different system, so that the second system behaves like the first system. Answer D is incorrect. CP/CMS is a time-sharing operating system of the late 60s and early 70s, and it is known for its excellent performance and advanced features. Answer:
C is incorrect. Grid computing refers to the combination of computer resources from multiple administrative domains to achieve a common goal.

NEW QUESTION: 2
A client has a Content Server, a Connection Broker, and a database server behind the firewall.
There is an application server in front of the firewall. At a minimum, which port(s) need to be configured on the firewall to facilitate successful repository browsing and content retrieval?
A. Content Server service port(s), Connection Broker port, and Database Server port
B. Connection Broker port and Database Server port
C. Connection Broker port
D. Content Server service port(s) and Connection Broker port
Answer: D

NEW QUESTION: 3
DRAG DROP
You plan to deploy an application by using three Azure virtual machines (VMs). The application has a web- based component that uses TCP port 443 and a custom component that uses UDP port 2020.
The application must be available during planned and unplanned Azure maintenance events. Incoming client requests must be distributed across the three VMs. Clients must be connected to a VM only if both application components are running.
You need to configure the VM environment.
For each requirement, what should you implement? To answer, drag the appropriate configuration type to the correct target. Each configuration type may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

Answer:
Explanation:

Explanation/Reference:
Box 1:
availability set.
Box 2:
backend pool.
Box 3:
health probe.
References:
https://docs.microsoft.com/en-us/azure/guidance/guidance-compute-multi-vm

NEW QUESTION: 4
You have the following Azure Stream Analytics query.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:
Explanation

Box 1: Yes
You can now use a new extension of Azure Stream Analytics SQL to specify the number of partitions of a stream when reshuffling the data.
The outcome is a stream that has the same partition scheme. Please see below for an example:
WITH step1 AS (SELECT * FROM [input1] PARTITION BY DeviceID INTO 10),
step2 AS (SELECT * FROM [input2] PARTITION BY DeviceID INTO 10)
SELECT * INTO [output] FROM step1 PARTITION BY DeviceID UNION step2 PARTITION BY DeviceID Note: The new extension of Azure Stream Analytics SQL includes a keyword INTO that allows you to specify the number of partitions for a stream when performing reshuffling using a PARTITION BY statement.
Box 2: Yes
When joining two streams of data explicitly repartitioned, these streams must have the same partition key and partition count.
Box 3: Yes
10 partitions x six SUs = 60 SUs is fine.
Note: Remember, Streaming Unit (SU) count, which is the unit of scale for Azure Stream Analytics, must be adjusted so the number of physical resources available to the job can fit the partitioned flow. In general, six SUs is a good number to assign to each partition. In case there are insufficient resources assigned to the job, the system will only apply the repartition if it benefits the job.
Reference:
https://azure.microsoft.com/en-in/blog/maximize-throughput-with-repartitioning-in-azure-stream-analytics/