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NEW QUESTION: 1
ソリューションアーキテクトは、Amazon Kinesis Data Streamsに基づいてシステムを設計しました。ワークフローが実稼働状態になった後、会社は、ワークフローの実行が遅いことに気付き、Kinesis Data Streamsを問題として特定しました。ストリームの1つには、合計10 Mb / sのスループットがあります。
ソリューションアーキテクトは、パフォーマンスを改善するために何を推奨する必要がありますか？
A. MergeShardコマンドを実行して、コンシューマーがより簡単に処理できるシャードの数を減らします。
B. Amazon Kinesis Data Firehoseを使用するようにワークフローを変更して、スループットを高めます。
C. UpdateShardCountコマンドを実行して、ストリーム内のシャードの数を増やします
D. AWS Lambdaを使用してデータを前処理し、レコードをCSVなどのより単純な形式に変換します。
Answer: C

NEW QUESTION: 2
nV Optical Satellite allows the DWDM transponder to be managed by which method?
A. Cisco Transport Controller
B. IOS-XR command line of the connected router
C. virtual transponder
D. nLight Control Plane
Answer: B

NEW QUESTION: 3
In this section, you'll see one or more sets of questions with the same scenario and problem Each question presents a unique solution to the problem, and you must determine whether the solution meets the stated goals Any of the solutions might solve the problem. It is also possible that none of the solutions solve the problem.
Once you answer a question in this section, you will NOT be able to return to it As a result. these questions will not appear in the review screen 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 the stated goals.
Your network contains an Active Directory forest named contoso.com. The forest contains a member server named Server1 that runs Windows Server 2016 All domain controllers run Windows Server 2012 R2 Contoso com has the following configuration

You plan to deploy an Active Directory Federation Services (AD FS) farm on Server1 and to configure device registration You need to configure Active Directory to support the planned deployment.
Solution You raise the domain functional level to Windows Server 2012R2.
Does this meet the goal?
A. No
B. Yes
Answer: A

NEW QUESTION: 4
2つのAZ内の複数のM3インスタンス上で顧客向けアプリケーションが実行されています。これらのインスタンスは、負荷が増加したときにスケールアップするように設定されたAuto Scalingグループ内にあります。 CloudWatchメトリックスを見てみると、毎日特定の時間帯にAuto Scalingグループには通常よりも多くのインスタンスがあることがわかります。それにもかかわらず、あなたの顧客の一人は、毎日これらの時間帯にアプリケーションが応答するのが非常に遅いと不平を言っています。
アプリケーションは、400の書き込み容量ユニットと400の読み取り容量ユニットを持つDynamoDBテーブルに対して読み取りと書き込みを行っています。主キーは会社IDです、そしてテーブルはおおよそ記憶しています
20 TBのデータ。どの解決策が、スケーラブルで費用対効果の高い方法で問題を解決するでしょうか。
正しい答えを選びなさい：
A. ElastiCache、Memcached、またはRedisを使用してWebアプリケーションの前にキャッシュレイヤーを追加します
B. 同じ会社の顧客がすべて同時にこのテーブルを使用するとDynamoDBテーブルが調整されているため、読み取りおよび書き込み容量ユニットの数を2倍にします。
C. DynamoDBはこのユースケースには適していません。代わりに、DynamoDBからAmazon RDSにデータを移動するためのデータパイプラインを作成します。
D. データパイプラインを使用して、DynamoDBテーブルを異なるプライマリキーを持つ新しいDynamoDBテーブルに移行し、テーブル全体にデータセットを均等に分散させます。
Answer: D
Explanation:
Distribute the data to use the shards efficiently