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NEW QUESTION: 1
Which of the following are the MAIN differences between a lightweight access point and an autonomous access point? (Select THREE).
A. Lightweight access points support fewer users
B. Autonomous access points support multiple channels
C. Autonomous access points can operate independently once configured
D. Lightweight access points must be preconfigured
E. Multiple lightweight access points take less time to manage
F. Lightweight access points require a central controller after being configured
Answer: C,E,F
NEW QUESTION: 2
HOTSPOT
Background
You manage a Microsoft SQL Server environment that includes the following databases: DB1, DB2, Reporting.
The environment also includes SQL Reporting Services (SSRS) and SQL Server Analysis Services (SSAS). All SSRS and SSAS servers use named instances. You configure a firewall rule for SSAS.
Databases
Database Name:
DB1
Notes:
This database was migrated from SQL Server 2012 to SQL Server 2016. Thousands of records are inserted into DB1 or updated each second. Inserts are made by many different external applications that your company's developers do not control. You observe that transaction log write latency is a bottleneck in performance. Because of the transient nature of all the data in this database, the business can tolerate some data loss in the event of a server shutdown.
Database Name:
DB2
Notes:
This database was migrated from SQL Server 2012 to SQL Server 2016. Thousands of records are updated or inserted per second. You observe that the WRITELOG wait type is the highest aggregated wait type. Most writes must have no tolerance for data loss in the event of a server shutdown. The business has identified certain write queries where data loss is tolerable in the event of a server shutdown.
Database Name:
Reporting
Notes:
You create a SQL Server-authenticated login named BIAppUser on the SQL Server instance to support users of the Reporting database. The BIAppUser login is not a member of the sysadmin role.
You plan to configure performance-monitoring alerts for this instance by using SQL Agent Alerts.
You need to maximize performance of writes to each database without requiring changes to existing database tables.
In the table below, identify the database setting that you must configure for each database.
NOTE: Make only one selection in each column. Each correct selection is worth one point.
Hot Area:
Answer:
Explanation:
Explanation/Reference:
Explanation:
DB1: DELAYED_DURABILITY=FORCED
From scenario: Thousands of records are inserted into DB1 or updated each second. Inserts are made by many different external applications that your company's developers do not control. You observe that transaction log write latency is a bottleneck in performance. Because of the transient nature of all the data in this database, the business can tolerate some data loss in the event of a server shutdown.
With the DELAYED_DURABILITY=FORCED setting, every transaction that commits on the database is delayed durable.
With the DELAYED_DURABILITY= ALLOWED setting, each transaction's durability is determined at the transaction level.
Note: Delayed transaction durability reduces both latency and contention within the system because:
* The transaction commit processing does not wait for log IO to finish and return control to the client.
* Concurrent transactions are less likely to contend for log IO; instead, the log buffer can be flushed to disk in larger chunks, reducing contention, and increasing throughput.
DB2: ALLOW_SNAPSHOT_ISOLATION ON and READ_COMMITTED_SNAPSHOT ON
Snapshot isolation enhances concurrency for OLTP applications.
Snapshot isolation must be enabled by setting the ALLOW_SNAPSHOT_ISOLATION ON database option before it is used in transactions.
The following statements activate snapshot isolation and replace the default READ COMMITTED behavior with SNAPSHOT:
ALTER DATABASE MyDatabase
SET ALLOW_SNAPSHOT_ISOLATION ON
ALTER DATABASE MyDatabase
SET READ_COMMITTED_SNAPSHOT ON
Setting the READ_COMMITTED_SNAPSHOT ON option allows access to versioned rows under the default READ COMMITTED isolation level.
From scenario: The DB2 database was migrated from SQL Server 2012 to SQL Server 2016. Thousands of records are updated or inserted per second. You observe that the WRITELOG wait type is the highest aggregated wait type. Most writes must have no tolerance for data loss in the event of a server shutdown.
The business has identified certain write queries where data loss is tolerable in the event of a server shutdown.
References:
https://msdn.microsoft.com/en-us/library/dn449490.aspx
https://msdn.microsoft.com/en-us/library/tcbchxcb(v=vs.110).aspx
NEW QUESTION: 3
도메인 이름 .example.com 아래 여러 AWS 리전에서 전 세계 잠재 고객을 대상으로 하는 웹 애플리케이션을 배포했습니다. Route53 대기 시간 기반 라우팅을 사용하여 사용자와 가장 가까운 지역의 사용자에게 웹 요청을 제공하기로 결정했습니다. 서버 가동 중지시 비즈니스 연속성을 제공하기 위해 리전별로 별도의 가용 영역에서 두 개의 웹 서버와 연결된 가중치 레코드 세트를 구성합니다.
DR 테스트를 실행하면 리전 중 하나에서 모든 웹 서버를 비활성화하면 Route53이 모든 사용자를 자동으로 다른 리전으로 안내하지는 않습니다.
무슨 일이야? (2 답변 선택)
A. 비활성화 된 서버가 있는 리전에서 설정된 대기 시간 별칭 리소스 레코드와 관련된 가중치 값이 다른 리전의 가중치보다 높습니다.
B. 다른 지역에서 작동하는 두 웹 서버 중 하나가 HTTP 상태 확인을 통과하지 못했습니다.
C. 비활성화 된 웹 서버와 관련된 하나 이상의 가중 리소스 레코드 세트에 HTTP 상태 확인을 설정하지 않았습니다.
D. 서버를 비활성화 한 리전의 example com과 연관된 대기 시간 별칭 리소스 레코드 세트에서 "대상 상태 평가"를 "예"로 설정하지 않았습니다.
E. 대기 시간 리소스 레코드 세트는 가중 리소스 레코드 세트와 함께 사용할 수 없습니다.
Answer: C,D
Explanation:
Explanation
How Health Checks Work in Complex Amazon Route 53 Configurations
Checking the health of resources in complex configurations works much the same way as in simple configurations. However, in complex configurations, you use a combination of alias resource record sets (including weighted alias, latency alias, and failover alias) and nonalias resource record sets to build a decision tree that gives you greater control over how Amazon Route 53 responds to requests. For more information, see How Health Checks Work in Simple Amazon Route 53 Configurations.
For example, you might use latency alias resource record sets to select a region close to a user and use weighted resource record sets for two or more resources within each region to protect against the failure of a single endpoint or an Availability Zone. The following diagram shows this configuration.
Here's how Amazon EC2 and Amazon Route 53 are configured:
You have Amazon EC2 instances in two regions, us-east-1 and ap-southeast-2. You want Amazon Route 53 to respond to queries by using the resource record sets in the region that provides the lowest latency for your customers, so you create a latency alias resource record set for each region. (You create the latency alias resource record sets after you create resource record sets for the individual Amazon EC2 instances.) Within each region, you have two Amazon EC2 instances. You create a weighted resource record set for each instance. The name and the type are the same for both of the weighted resource record sets in each region.
When you have multiple resources in a region, you can create weighted or failover resource record sets for your resources. You can also create even more complex configurations by creating weighted alias or failover alias resource record sets that, in turn, refer to multiple resources.
Each weighted resource record set has an associated health check. The IP address for each health check matches the IP address for the corresponding resource record set. This isn't required, but it's the most common configuration.
For both latency alias resource record sets, you set the value of Evaluate Target Health to Yes.
You use the Evaluate Target Health setting for each latency alias resource record set to make Amazon Route 53 evaluate the health of the alias targets-the weighted resource record sets-and respond accordingly.
The preceding diagram illustrates the following sequence of events:
Amazon Route 53 receives a query for example.com. Based on the latency for the user making the request, Amazon Route 53 selects the latency alias resource record set for the us-east-1 region.
Amazon Route 53 selects a weighted resource record set based on weight. Evaluate Target Health is Yes for the latency alias resource record set, so Amazon Route 53 checks the health of the selected weighted resource record set.
The health check failed, so Amazon Route 53 chooses another weighted resource record set based on weight and checks its health. That resource record set also is unhealthy.
Amazon Route 53 backs out of that branch of the tree, looks for the latency alias resource record set with the next-best latency, and chooses the resource record set for ap-southeast-2.
Amazon Route 53 again selects a resource record set based on weight, and then checks the health of the selected resource record set. The health check passed, so Amazon Route 53 returns the applicable value in response to the query.
What Happens When You Associate a Health Check with an Alias Resource Record Set?
You can associate a health check with an alias resource record set instead of or in addition to setting the value of Evaluate Target Health to Yes. However, it's generally more useful if Amazon Route 53 responds to queries based on the health of the underlying resources-the HTTP servers, database servers, and other resources that your alias resource record sets refer to. For example, suppose the following configuration:
You assign a health check to a latency alias resource record set for which the alias target is a group of weighted resource record sets.
You set the value of Evaluate Target Health to Yes for the latency alias resource record set.
In this configuration, both of the following must be true before Amazon Route 53 will return the applicable value for a weighted resource record set:
The health check associated with the latency alias resource record set must pass.
At least one weighted resource record set must be considered healthy, either because it's associated with a health check that passes or because it's not associated with a health check. In the latter case, Amazon Route 53 always considers the weighted resource record set healthy.
If the health check for the latency alias resource record set fails, Amazon Route 53 stops responding to queries using any of the weighted resource record sets in the alias target, even if they're all healthy. Amazon Route 53 doesn't know the status of the weighted resource record sets because it never looks past the failed health check on the alias resource record set.
What Happens When You Omit Health Checks?
In a complex configuration, it's important to associate health checks with all of the non-alias resource record sets. Let's return to the preceding example, but assume that a health check is missing on one of the weighted resource record sets in the us-east-1 region:
Here's what happens when you omit a health check on a non-alias resource record set in this configuration:
Amazon Route 53 receives a query for example.com. Based on the latency for the user making the request, Amazon Route 53 selects the latency alias resource record set for the us-east-1 region.
Amazon Route 53 looks up the alias target for the latency alias resource record set, and checks the status of the corresponding health checks. The health check for one weighted resource record set failed, so that resource record set is omitted from consideration.
The other weighted resource record set in the alias target for the us-east-1 region has no health check. The corresponding resource might or might not be healthy, but without a health check, Amazon Route 53 has no way to know. Amazon Route 53 assumes that the resource is healthy and returns the applicable value in response to the query.
What Happens When You Set Evaluate Target Health to No?
In general, you also want to set Evaluate Target Health to Yes for all of the alias resource record sets. In the following example, all of the weighted resource record sets have associated health checks, but Evaluate Target Health is set to No for the latency alias resource record set for the us-east-1 region:
Here's what happens when you set Evaluate Target Health to No for an alias resource record set in this configuration:
Amazon Route 53 receives a query for example.com. Based on the latency for the user making the request, Amazon Route 53 selects the latency alias resource record set for the us-east-1 region.
Amazon Route 53 determines what the alias target is for the latency alias resource record set, and checks the corresponding health checks. They're both failing.
Because the value of Evaluate Target Health is No for the latency alias resource record set for the us-east-1 region, Amazon Route 53 must choose one resource record set in this branch instead of backing out of the branch and looking for a healthy resource record set in the ap-southeast-2 region.
NEW QUESTION: 4
注：この質問は、同じシナリオを使用する一連の質問の一部です。便宜上、質問ごとにシナリオが繰り返されます。各質問には異なる目標と回答の選択肢がありますが、シナリオの次はこのシリーズの各質問でまったく同じです。
繰り返されるシナリオの開始
Contoso、Ltd.には、カスタムアプリケーションをサポートするMicrosoft SQL Serverデータベースがあります。現在のSQL Server環境は、ContosoSQL1とContosoSQL2の2つのサーバーで構成されています。これら2つのサーバーは、自動フェールオーバーで同期コミットを使用するように構成されたContosoAG1という名前のAlways On可用性グループに参加します。セカンダリレプリカは読み取り専用アクセス用に構成されていません。
アプリケーションは、ContosoDBという名前のデータベースでトランザクション処理と履歴データ取得の両方を実行します。アプリケーションには、在庫管理モジュールが含まれています。インベントリ管理モジュールとデータベースでパフォーマンスの問題が発生しています。
ユーザーは、InventoryQuery1という名前のクエリの完了に時間がかかると報告しています。クエリは次のように表示されます。
SELECT ProductNumber, Name, ProductLine
FROM Production.Product
WHERE ProductNumber = N'<specific product>'
このクエリに対してSQL Serverが使用するクエリプランは、展示に示されています。 （[展示]タブをクリックします。）長期にわたる頻繁なブロックエピソードを含むさまざまなパフォーマンスの問題により、ビジネスユーザーは日常のタスクを完了できません。データベースリソースが原因であると思われます。問題を特定するには、ContosoDBデータベースのブロッキングレポートを作成する必要があります。
示す。
拡張イベントを使用して、ContosoSQL1インスタンスに対して実行されるすべてのTransact-SQLステートメントを確認する予定です。拡張イベントセッションからの出力には、開始イベントと停止イベントの両方を含める必要があり、ファイルに書き込む必要があります。データ損失の可能性を最小限に抑え、サーバーのパフォーマンスへの影響を減らすために、拡張イベントセッションを構成する必要があります。
ContosoSQL3という名前の追加のセカンダリレプリカをContosoAG1に展開する予定です。読み取り専用トラフィックは、どのインスタンスがプライマリレプリカであるかに関係なく、2つのセカンダリレプリカ間で負荷分散する必要があります。
Contosoは、トランザクションデータベースからのリアルタイムデータに依存する専用のレポートシステムを追加する予定です。
同社は、高可用性/災害復旧（HA / DR）ソリューションの改善を計画しています。計画された改善の一環として、ContosoSQL1からすべてのデータベースをオフサイトの場所に直接バックアップします。
繰り返されるシナリオの終わり
ContosoSQL1のバックアッププロセスを構成する必要があります。
あなたは何をするべきか？
A. DRデータセンターへのミラー化されたバックアップを実行します。
B. 復旧モデルをシンプルに設定します。
C. 新しいバックアップセットを作成します。
D. テープデバイスへのバックアップを実行します。
Answer: A
Explanation:
Explanation
Scenario:
The company plans to improve their high availability/disaster recovery (HA/DR) solution. As part of the planned improvements, you will back up all databases from ContosoSQL1 directly to an off-site location.
One of the features found in the Enterprise Edition of SQL Server is the ability to take mirrored backups.
Basically, taking a mirrored backup means creating additional copies of the backup media (up to three) using a single BACKUP command, eliminating the need to perform the copies with copy or robocopy.
The idea behind is that you can backup to multiple locations and increase the protection level by having additional copies of the backup set. In case one of the copies gets lost or corrupted, you can use the mirrored copy to perform a restore.
Another possible scenario for a mirrored backup is deferred tape migration: you can backup to a local disk and mirror to a shared folder on a file server. That way you could have a local copy of the backup set and restore it in case of need and let the mirrored copy migrate to tape when the disk backup software processes the file server's disks.
References:
https://www.mssqltips.com/sqlservertip/1779/mirrored-database-backup-feature-in-sql-server-2005-and-sql-serv