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NEW QUESTION: 1
How should you design the Server disk configurations to maximize performance?
A. Create a RAID 1+0 array for each storage group.
Create a mirrored pair of disk drivers for the transaction logs.
B. Create a RAID 1+0 array for each storage group.
Create a mirrored pair of disk drivers for each set of transaction logs.
C. Create a single RAID 1+0 array for all of storage groups.
Create a mirrored pair of disk drivers for each set of transaction logs.
D. Create a single RAID 1+0 array for all of the storage groups.
Create a mirrored pair of disk drivers for the transaction logs.
Answer: B
Explanation:
Disk Performance Issues
Unlike CPU performance issues, disk performance issues cannot be diagnosed with a single counter that indicates that you have a disk bottleneck.
Note::
A disk bottleneck can also be a result of memory issues, and cannot be solved by simply adding more spindles.
Ensure when you size your Exchange 2000 disk configurations, to size for I/O capacity and not for disk space alone. Microsoft recommends RAID 0+1 because this configuration tends to result in more I/O capacity than RAID 5.
Disk Performance Issues: Approach One
The first approach to determining if you are encountering a disk bottleneck is to monitor the following counters for each of your physical drives.
PhysicalDisk(drive:)\Disk Writes/sec
PhysicalDisk(drive:)\Disk Reads/sec
Note:
Before troubleshooting disk performance problems, at the command prompt, run diskperf-y to activate logical, as well as physical, disk counters.
Look at each drive and compare to the total instance to isolate where the I/O is going. You can use the recommendations below to assist with the comparison and determine if you have a bottleneck.
* Raid-0: Reads/sec + Writes/sec < # Spindles x 100
* Raid-1: Reads/sec + 2 * Writes/sec < # Spindles x 100 (each write has to go to each
* mirror on the array)
* Raid-5: Reads/sec + 4 * Writes/sec < # Spindles x 100 (each write requires two reads and two writes) Note:
This assumes disk throughput is equal to 100 random I/O per spindle.
For more information about RAID, see the following "RAID Levels" section.
RAID Levels
Although there are many different implementations of RAID technologies, they all share two similar aspects. They all use multiple physical disks to distribute data, and they all store data according to a logic that is independent of the application for which they are storing data.
This section discusses four primary implementations of RAID: RAID-0, RAID-1, RAID-0+1, and RAID-5. Although there are many other RAID implementations, these four types serve as a representation of the overall scope of RAID solutions.
RAID-0
RAID-0 is a striped disk array; each disk is logically partitioned in such a way that a "stripe" runs across all the disks in the array to create a single logical partition. For example, if a file is saved to a RAID-0 array, and the application that is saving the file saves it to drive D, the RAID-0 array distributes the file across logical drive D (see Figure 13). In this example, it spans all six disks.

Figure 13 RAID-0 disk array
From a performance perspective, RAID-0 is the most efficient RAID technology because it can write to all six disks at once. When all disks store the application data, the most efficient use of the disks occurs.
The drawback to RAID-0 is its lack of reliability. If the Exchange mailbox databases are stored across a RAID-0 array and a single disk fails, you must restore the mailbox databases to a functional disk array and restore the transaction log files. In addition, if you store the transaction log files on this array and you lose a disk, you can perform only a point-in-time restoration of the mailbox databases from the last backup.
RAID-1
RAID-1 is a mirrored disk array in which two disks are mirrored (see Figure 14).

Figure 14 RAID-1 disk array
RAID-1 is the most reliable of the three RAID disk arrays because all data is mirrored after it is written. You can use only half of the storage space on the disks. Although this may seem inefficient, RAID 1 is the preferred choice for data that requires the highest possible reliability.
RAID-0+1
A RAID-0+1 disk array allows for the highest performance while ensuring redundancy by combining elements of RAID-0 and RAID-1 (see Figure 15).

Figure 15 RAID-0+1 disk array
In a RAID-0+1 disk array, data is mirrored to both sets of disks (RAID-1), and then striped across the drives (RAID-0). Each physical disk is duplicated in the array. If you have a six-disk RAID-0+1 disk array, three disks are available for data storage.
RAID-5
RAID-5 is a striped disk array, similar to RAID-0 in that data is distributed across the array; however, RAID-5 also includes parity. This means that there is a mechanism that maintains the integrity of the data stored in the array, so that if one disk in the array fails, the data can be reconstructed from the remaining disks (see Figure 16). Thus, RAID-5 is a reliable storage solution.

Figure 16 RAID-5 disk array
However, to maintain parity among the disks, 1/n GB of disk space is sacrificed (where n equals the number of drives in the array). For example, if you have six 9-GB disks, you have 45 GB of usable storage space. To maintain parity, one write of data is translated into two writes and two reads in the RAID-5 array; thus, overall performance is degraded.
The advantage of a RAID-5 solution is that it is reliable and uses disk space more efficiently than RAID-1 (and 1+0).
For more information on comparing RAID solutions and RAID levels, as well as Storage Area Network (SAN) and Network Attached Storage (NAS) solutions, see the Storage Solutions for Microsoft Exchange 2000 Server white paper.
Disk Performance Problems: Approach Two
The second approach to determining if you are encountering a disk bottleneck requires looking at the I/O requests waiting to be completed using the following disk queue counters.
PhysicalDisk(drive:)\Avg. Disk Queue
PhysicalDisk(drive:)\Current Disk Queue
The PhysicalDisk(drive:)\Avg. Disk Queue counter indicates the average queue length over the sampling interval. The PhysicalDisk(drive:)\Current Disk Queue counter reports the queue length value at the instant of sampling.
You are encountering a disk bottleneck if the average disk queue length is greater than the number of spindles on the array and the current disk queue length never equals zero. Short spikes in the queue length can drive up the queue length average artificially, so you must monitor the current disk queue length. If it drops to zero periodically, the queue is being cleared and you probably do not have a disk bottleneck.
Note:
When using this approach, correlate the queue length spikes with the MSExchangeIS\RPC Requests counter to confirm the effect on clients.
Disk Problems: Approach Three
For the third approach to determining if you are encountering a disk bottleneck, look at the I/O latency, which can give you an indication of the health of your disks:
Physical Disk(drive:)\Avg. Disk sec/Read
Physical Disk(drive:)\Avg. Disk sec/Write
A typical range is .005 to .020 seconds for random I/O. If write-back caching is enabled in the array controller, the PhysicalDisk(drive:)\Avg. Disk sec/Write counter should be less than .002 seconds.
If these counters are between .020 and .050 seconds, there is the possibility of a disk bottleneck.
If the counters are above .050 seconds, there is definitely a disk bottleneck.
Reference:
Troubleshooting Microsoft Exchange 2000 Server Performance
Exchange Core Documentation

NEW QUESTION: 2
ContosoDbという名前のMicrosoft SQL Serverデータベースを開発します。 ContosoDbには、次のTransact-SQLステートメントを使用して作成されたEmployessという名前のテーブルが含まれています。

ビューを使用してEmployeesテーブルに新しいレコードを挿入できるビューを作成する必要があります。

A. Option B
B. Option A
C. Option C
D. Option D
Answer: C

NEW QUESTION: 3

A. WaitForFullGCComplete()
B. KeepAlive()
C. RemoveMemoryPressure()
D. ReRegisterForFinalize()
Answer: B
Explanation:
Explanation: The purpose of the KeepAlive method is to ensure the existence of a reference to an object that is at risk of being prematurely reclaimed by the garbage collector.
Reference: GC.KeepAlive Method (Object)
https://msdn.microsoft.com/en-us/library/system.gc.keepalive(v=vs.110).aspx

NEW QUESTION: 4
회사의 웹 애플리케이션은 Amazon RDS PostgreSQL DB 인스턴스를 사용하여 애플리케이션 데이터를 저장합니다.
매월 초 재무 마감 기간 동안. 회계사는 사용량이 많기 때문에 데이터베이스 성능에 영향을 미치는 큰 쿼리를 실행합니다. 회사는 보고 활동이 웹 응용 프로그램에 미치는 영향을 최소화하려고 합니다.
최소한의 노력으로 데이터베이스에 미치는 영향을 줄이기 위해 솔루션 아키텍트는 어떻게해야 합니까?
A. 읽기 전용 복제본을 작성하고 복제본에 직접 보고 트래픽을 지정하십시오.
B. 교차 리전 읽기 전용 복제본을 생성하고 복제본에 보고 트래픽을 전달합니다.
C. 다중 AZ 데이터베이스를 만들고 보고 트래픽을 대기로 보냅니다.
D. Amazon Redshift 데이터베이스를 생성하고 보고 트래픽을 Amazon Redshift 데이터베이스로 보냅니다.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html Amazon RDS uses the MariaDB, MySQL, Oracle, PostgreSQL, and Microsoft SQL Server DB engines' built-in replication functionality to create a special type of DB instance called a read replica from a source DB instance. Updates made to the source DB instance are asynchronously copied to the read replica. You can reduce the load on your source DB instance by routing read queries from your applications to the read replica.
When you create a read replica, you first specify an existing DB instance as the source. Then Amazon RDS takes a snapshot of the source instance and creates a read-only instance from the snapshot. Amazon RDS then uses the asynchronous replication method for the DB engine to update the read replica whenever there is a change to the source DB instance. The read replica operates as a DB instance that allows only read-only connections. Applications connect to a read replica the same way they do to any DB instance. Amazon RDS replicates all databases in the source DB instance.
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html

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