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NEW QUESTION: 1
You create an App Service plan named App1 and an Azure web app named webapp1. You discover that the option to create a staging slot is unavailable. You need to create a staging slot for App1.
What should you do first?
A. From App1, scale up the App Service plan.
B. From webapp1, add a custom domain.
C. From webapp1, modify the Application settings.
D. From App1, scale out the App Service plan.
Answer: A
Explanation:
Scale up: Get more CPU, memory, disk space, and extra features like dedicated virtual machines (VMs), custom domains and certificates, staging slots, autoscaling, and more.
You scale up by changing the pricing tier of the App Service plan that your app belongs to.
Reference:
https://docs.microsoft.com/en-us/azure/app-service/manage-scale-up

NEW QUESTION: 2



A. User3 to Contributor
B. User5 to Administrator
C. User4 to Contributor
D. User1 to Reader
E. User2 to Reader
Answer: D,E
Explanation:
Topic 1, RelecloudGeneral Overview
Relecloud is a social media company that processes hundreds of millions of social media posts per day and sells advertisements to several hundred companies.
Relecloud has a Microsoft SQL Server database named DB1 that stores information about the advertisers.
DB1 is hosted on a Microsoft Azure virtual machine.
Physical locations
Relecloud has two main offices. The offices we located in San Francisco and New York City.
The offices connected to each other by using a site-to-site VPN. Each office connects directly to the Internet.
Business model
Relecloud modifies the pricing of its advertisements based on trending topics. Topics are considered to be trending if they generate many mentions in a specific country during a 15-minute time frame. The highest trending topics generate the highest advertising revenue.
CTO statement
Relecloud wants to deliver reports lo the advertisers by using Microsoft Power BI. The reports will provide real-time data on trending topics, current advertising rates, and advertising costs for a given month.
Relecloud will analyze the trending topics data, and then store the data in a new data warehouse for ad-hoc analysis. The data warehouse is expected to grow at a rate of 1 GB per hour or 8.7 terabytes (TB) per year. The data will be retained for five years for the purpose of long term trending.
Requirements
Business goals
Management at Relecloud must be able to view which topics are trending to adjust advertising rates in near real-time.
Planned changes
Relecloud plans to implement a new streaming analytics platform that will report on trending topics.
Relecloud plans to implement a data warehouse named DB2.
General technical requirements
Relecloud identifies the following technical requirements:
* Social media data must be analyzed to identify trending topics in real time.
* The use of Infrastructure as a Service (IaaS) platforms must minimized, whenever possible.
* The real-time solution used to analyze the social media data must support selling up and down without service interruption.
Technical requirements for advertisers
Relecloud identifies the following technical requirements for the advertisers
* The advertisers must be able to see only their own data in the Power BI reports.
* The advertisers must authenticate to Power BI by using Azure Active Directory (Azure AD) credentials.
* The advertisers must be able to leverage existing Transact-SQL language knowledge when developing the real-time streaming solution.
* Members of the internal advertising sales team at Relecloud must be able to see only the sales data of the advertisers to which they are assigned.
* The Internal Relecloud advertising sales team must be prevented from inserting, updating, and deleting rows for the advertisers to which they are not assigned.
* The internal Relecloud advertising sales team must be able to use a text file to update the list of advertisers, and then to upload the file to Azure Blob storage.
DB1 requirements
Relecloud identifies the following requirements for DB1:
* Data generated by the streaming analytics platform must be stored in DB1.
* The user names of the advertisers must be mapped to CustomerID in a table named Table2.
* The advertisers in DB1 must be stored in a table named Table1 and must be refreshed nightly.
* The user names of the employees at Relecloud must be mapped to EmployeeID in a table named Table3.
DB2 requirements
Relecloud identifies the following requirements for DB2:
* DB2 must have minimal storage costs.
* DB2 must run load processes in parallel.
* DB2 must support massive parallel processing.
* DB2 must be able to store more than 40 TB of data.
* DB2 must support scaling up and down, as required.
* Data from DB1 must be archived in DB2 for long-term storage.
* All of the reports that are executed from DB2 must use aggregation.
* Users must be able to pause DB2 when the data warehouse is not in use.
* Users must be able to view previous versions of the data in DB2 by using aggregates.
ETL requirements
Relecloud identifies the following requirements for extract, transformation, and load (ETL):
* Data movement between DB1 and DB2 must occur each hour.
* An email alert must be generated when a failure of any type occurs during ETL processing.
rls_table1
You execute the following code for a table named rls_table1.

dbo.table1
You use the following code to create Table1.

Streaming data
The following is a sample of the Streaming data.

NEW QUESTION: 3
An administrator has created a resource pool named Marketing HTTP with a Memory Limit of 24 GB and a CPU Limit of 10,000 MHz.
The Marketing HTTP resource pool contains three virtual machines:
Mktg-SQL has a memory reservation of 16 GB.

Mktg-App has a memory reservation of 6 GB.

Mktg-Web has a memory reservation of 4 GB.

What would happen if all three virtual machines are powered on?
A. Only one of the virtual machines can power on.
B. All three virtual machines can power on without memory contention.
C. Only two of the three virtual machines can power on.
D. All three virtual machines can power on, but will have memory contention.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Applying a limit on a vCPU and memory will slow your VM down no matter what because of distribution of resources. Even if there are no other VMs running on that 4 socket quad core host. Powering on all the virtual machine will enables 100% resources to be used by VM hence, only few required VM's will powered
"On" which requires the maximum utilization from the available resources.
Example: When a single (or two) VM has a limit of 5000MHz and 16GB, 6 GB Memory = 22gb utilization will be high and is the only VM running on a host than it will run it full speed as it will be constantly rescheduled for 5000MHz and maximum memory (22-24 GB) Check:
https://kb.vmware.com/selfservice/microsites/search.do?
language=en_US&cmd=displayKC&externalId=2032906
Or Resource Pool Metrics:
https://pubs.vmware.com/.../GUID-6F436275-169F-4DE5-B393-3B771623C0F8.htm.

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