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Question 1:

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets stated goals.

Your company plans to use Microsoft Azure Resource Manager templates for all future deployments of SQL Server on Azure virtual machines.

You need to create the templates.

Solution: You create the desired SQL Server configuration in an Azure Resource Group, then export the Resource Group template and save it to the Templates Library.

Does the solution meet the goal?

A. Yes

B. No

Correct Answer: B

Azure Resource Manager template consists of JSON, and expressions that you can use to construct values for your deployment.

A good JSON editor, not a Resource Group template, can simplify the task of creating templates.

Note: In its simplest structure, a Azure Resource Manager template contains the following elements:

{

“$schema”: “http://schema.management.azure.com/schemas/2015-0101/deploymentTemplate.json#”,

“contentVersion”: “”,

“parameters”: { },

“variables”: { },

“resources”: [ ],

“outputs”: { }

}

References:https://docs.microsoft.com/en-us/azure/azure-resource-manager/resourcegroup-authoring-templates


Question 2:

You plan to deploy 20 Microsoft Azure SQL Database instances to an elastic pool in Azure to support a batch processing application.

Two of the databases in the pool reach their peak workload threshold at the same time every day. This leads to inconsistent performance for batch completion.

You need to ensure that all batches perform consistently.

What should you do?

A. Create an In-Memory table.

B. Increase the storage limit in the pool.

C. Implement a readable secondary database.

D. Increase the total number of elastic Database Transaction Units (eDTUs) in the pool.

Correct Answer: D

In SQL Database, the relative measure of a database\’s ability tohandle resource demands is expressed in Database Transaction Units (DTUs) for single databases and elastic DTUs (eDTUs) for databases in an elastic pool.

A pool is given a set number of eDTUs, for a set price. Within the pool, individual databases are given the flexibility to auto-scale within set parameters. Under heavy load, a database can consume more eDTUs to meet demand.

Additional eDTUs can be added to an existing pool with no database downtime.

References:https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-pool


Question 3:

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while

others might not have a correct solution.

After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You are tuning the performance of a virtual machines that hosts a Microsoft SQL Server instance.

The virtual machine originally had four CPU cores and now has 32 CPU cores.

The SQL Server instance uses the default settings and has an OLTP database named db1. The largest table in db1 is a key value store table named table1.

Several reports use the PIVOT statement and access more than 100 million rows in table1.

You discover that when the reports run, there are PAGELATCH_IO waits on PFS pages

2:1:1, 2:2:1, 2:3:1, and 2:4:1 within the tempdb database.

You need to prevent the PAGELATCH_IO waits from occurring.

Solution: You add more tempdb databases.

Does this meet the goal?

A. Yes

B. No

Correct Answer: B

From SQL Server\’s perspective, you can measure the I/O latency from sys.dm_os_wait_stats. If you consistently see high waiting for PAGELATCH_IO, you can benefit from a faster I/O subsystem for SQL Server.A cause can be poor design of your database – you may wish to split out data located on \’hot pages\’, which are accessed frequently and which you might identify as the causes of your latch contention. For example, if you have a currency table with a data page containing 100 rows, of which 1 is updated per transaction and you have a transaction rate of 200/sec, you could see page latch queues of 100 or more. If each page latch wait costs just 5ms before clearing, this represents a full half-second delay for each update. In this case, splitting out the currency rows into different tables might prove more performant (if less normalized and logically structured).

References: https://www.mssqltips.com/sqlservertip/3088/explanation-of-sql-server-io-and- latches/


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