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Classification

BMI

Caucasian

BMI

Asian

Health risk

Under weight

18.5 >

18.5 >

low

Normal weight

18.5_24.9

18.5_22.9

average

Overweight

25.0<

23.0<

 

Pre obese

25.0-29.9

23.0-24.9

Mildly increase

Obese

·     Class 1

·     Class 2

·     Class3

30.0<

30.0-34.9

35.0-39.0

40<

25.0<

25.0-29.9

30.0

 

Moderate

High

Very high

BMI CLASSIFICATION

QUESTION 16
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.
A company has an on-premises Microsoft SQL Server environment and Microsoft Azure SQL Database instances. The environment hosts several customer
databases.
One customer reports that their database is not responding as quickly as the service level agreements dictate. You observe that the database is fragmented.
You need to optimize query performance.
Solution: You rebuild all indexes.
Does the solution meet the goal?
A. Yes
B. No
Correct Answer: A
Explanation
Explanation/Reference:
You can remedy index fragmentation by either reorganizing an index or by rebuilding an index.
References:https://msdn.microsoft.com/en-us/library/ms189858(v=sql.105).aspx

70-686 dumps

QUESTION 17
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.
You have five servers that run Microsoft Windows 2012 R2. Each server hosts a Microsoft SQL Server instance. The topology for the environment is shown in the
following diagram.
You have an Always On Availability group named AG1. The details for AG1 are shown in the following table.
Instance1 experiences heavy read-write traffic. The instance hosts a database named OperationsMain that is four terabytes (TB) in size. The database has
multiple data files and filegroups. One of the filegroups is read_only and is half of the total database size.
Instance4 and Instance5 are not part of AG1. Instance4 is engaged in heavy read-write I/O.
Instance5 hosts a database named StagedExternal. A nightly BULK INSERT process loads data into an empty table that has a rowstore clustered index and two
nonclustered rowstore indexes.
You must minimize the growth of the StagedExternal database log file during the BULK INSERT operations and perform point-in-time recovery after the BULK
INSERT transaction. Changes made must not interrupt the log backup chain.
You plan to add a new instance named Instance6 to a datacenter that is geographically distant from Site1 and Site2. You must minimize latency between the
nodes in AG1.
All databases use the full recovery model. All backups are written to the network location \\SQLBackup\. A separate process copies backups to an offsite location.
You should minimize both the time required to restore the databases and the space required to store backups. The recovery point objective (RPO) for each
instance is shown in the following table.Full backups of OperationsMain take longer than six hours to complete. All SQL Server backups use the keyword COMPRESSION.
You plan to deploy the following solutions to the environment. The solutions will access a database named DB1 that is part of AG1.
The wait statistics monitoring requirements for the instances are described in the following table.
You need to create a backup plan for Instance4.
Which backup plan should you create?
A. Weekly full backups, nightly differential. No transaction log backups are necessary.
B. Weekly full backups, nightly differential backups, transaction log backups every 5 minutes.
C. Weekly full backups, nightly differential backups, transaction log backups every 12 hours.
D. Weekly full backups, nightly differential backups, nightly transaction log backups.
Correct Answer: B
Explanation
Explanation/Reference:
From scenario: Instance4 and Instance5 are not part of AG1. Instance4 is engaged in heavy read-write I/O. The recovery point objective of Instancse4 is 60
minutes. RecoveryPoint Objectives are commonly described as the amount of data that was lost during the outage and recovery period.
References:http://sqlmag.com/blog/sql-server-recovery-time-objectives-and-recovery-point- objectives

BMI

Category

Lower than 18.5

Under weight

18.5 up to 25

Optimal

25up to 30

Over weight

30 upwards

obese