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NEW QUESTION: 1
You have an Azure Cosmos DB database that uses the SQL API. The database contains a collection. The collection contains multiple documents. The documents use several different ISON schemas.
Two common queries are performed as shown in the following table.

Which index kind will provide the fastest execution of each query? To answer, drag the appropriate index kinds to the correct queries. Each index kind 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.

Answer:
Explanation:


NEW QUESTION: 2
How does Amazon SQS allow multiple readers to access the same message queue without losing messages or processing them many times?
A. By using unique cryptography
B. Multiple readers can't access the same message queue
C. Amazon SQS queue has a configurable visibility timeout.
D. By identifying a user by his unique id
Answer: C
Explanation:
Every Amazon SQS queue has a configurable visibility timeout. For the designated amount of time after a message is read from a queue, it will not be visible to any other reader. As long as the amount of time that it takes to process the message is less than the visibility timeout, every message will be processed and deleted. In the event that the component processing the message fails or becomes unavailable, the message will again become visible to any component reading the queue once the visibility timeout ends. This allows you to have many components all reading messages from the same queue, with each working to process different messages.
https://aws.amazon.com/sqs/faqs/

NEW QUESTION: 3
Note This question is part of a series of questions that use the same scenario. For your convenience, the
scenario is repeated in each question. Each question presents a different goal and answer choices, but the text
of the scenario is exactly the same in each question in this series.
Start of Repeated Scenario:
A company named Contoso, ltd. has several servers that run Windows Server 2016 Contoso has a Hyper V
environment that uses failover clustering and Windows Server Update Services (WSUS). The environment
contains several Windows containers and several virtual machines.
The WSUS deployment contains one upstream server that is located on the company's perimeter network and
several downstream servers located on the internal network, A firewall separates the upstream server from the
downstream servers.
You plan to deploy a human resources application to a new server named HRServer5. HRServer5 contains a
FAT32-formatted data volume.
The CIO of Contoso identifies the following requirements for the company's IT department:
* Deploy failover cluster to two new virtual machines.
* Store all application databases by using Encrypted File System (EFS).
* Ensure that each Windows container has a dedicated IP address assigned by a DHCP server
* Produce a report that lists the processor time used by all of the processes on a server named Server 1 for five
hour.
Encrypt all communication between the internal network and the perimeter network, including all WSUS
communications.
* Automatically load balance the virtual machines hosted in the Hyper-V cluster when processor utilization
exceeds 70 percent.
End of Repeated Scenario.
You need to modify the Hyper V cluster to meet the load balancing requirement for the virtual machine.
Which command should you run?
A. I2bridge
B. I2tunnel
C. transparent
D. network address translation (NAT)
Answer: D

NEW QUESTION: 4
A company in the process of analyzing inventory safety stock levels is having difficulty because demand varies widely from one week to the next. However, it has been discovered that demand occurs according to a probability distribution. Which of the following is a stochastic model that the company could use in this situation?
A. Linear programming.
B. Markov process.
C. Critical path network analysis
D. Regression analysis.
Answer: B
Explanation:
A stochastic model is probabilistic. Markov processes quantify the likelihood of a future event based on the current state of the process.

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