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NEW QUESTION: 1
Service A is an entity service that provides a set of generic and reusable service
capabilities. In order to carry out the functionality of any one of its service capabilities,
Service A is required to compose Service B (1) and Service C (2) and Service A is required
to access Database A (3), Database B (4), and Database C (5). These three databases are
shared by other applications within the IT enterprise.
All of service capabilities provided by Service A are synchronous, which means that for
each request a service consumer makes. Service A is required to issue a response
message after all of the processing has completed.
Depending on the nature of the service consumer request, Service A may be required to
hold data it receives in memory until its underlying processing completes. This includes
data it may receive from either Service A or Service B or from any of the three shared
databases.
Service A is one of many entity services that reside in a highly normalized service
inventory. Because Service A provides agnostic logic, it is heavily reused and is currently
part of many service compositions.
You are told that Service A has recently become unstable and unreliable. The problem has
been traced to two issues with the current service architecture. First, Service B, which is
also an entity service, is being increasingly reused and has itself become unstable and
unreliable. When Service B fails, the failure is carried over to Service A . Secondly, shared
Database B has a complex data model. Some of the queries issued by Service A to shared
Database B can take a very long time to complete. What steps can be taken to solve these
problems without compromising the normalization of the service inventory?
A. The Redundant Implementation pattern can be applied to Service B, thereby making
duplicate deployments of the service available. This way, when one implementation of
Service B is too busy, another implementation can be accessed by Service A instead. The
Service Data Replication pattern can be applied to establish a dedicated database that
contains an exact copy of the data from shared Database B that is required by Service A .
B. The Redundant Implementation pattern can be applied to Service B, thereby making
duplicate deployments of the service available. This way, when one implementation of
Service B is too busy, another implementation can be accessed by Service A instead. The
Service Data Replication pattern can be applied to establish a dedicated database that
contains a copy of the data from shared Database B that is required by Service A . The
replicated database is designed with an optimized data model in order to improve query
execution performance.
C. The Redundant Implementation pattern can be applied to Service A, thereby making
duplicate deployments of the service available. This way, when one implementation of
Service A is too busy, another implementation can be accessed by service consumers
instead. The Service Data Replication pattern can be applied to establish a dedicated
database that contains an exact copy of the data from shared Database B that is required
by Service A .
D. None of the above.
Answer: B
NEW QUESTION: 2
Operator.java、EngineOperator.java、およびEngine.javaファイルの内容を考えると：
そしてコードの断片：
結果は何ですか？
A. Engine.javaファイルはコンパイルに失敗します。
B. EngineOperator.javaファイルはコンパイルに失敗します。
C. Operator.javaファイルはコンパイルに失敗します。
D. オンオフ
Answer: A
NEW QUESTION: 3
ルーターはパケットに対してこれらの機能のうち2つを実行しますか？ （2つ選択してください。）
A. アウトバウンドパケットのレイヤー2ヘッダーをネクストホップのMACアドレスで更新します
B. 着信パケットのレイヤー3ヘッダーを調べ、その情報を使用してパケットのネクストホップを決定します
C. 送信パケットのレイヤー3ヘッダーを更新して、パケットが有効なネクストホップに適切に転送されるようにします
D. 受信パケットのレイヤー3ヘッダーを調べ、その情報を使用して、パケットが最終的な宛先にルーティングされる完全なパスを決定します
E. 送信パケットのレイヤー3ヘッダーを更新して、パケットが最終的な宛先に適切に転送されるようにします
F. インバウンドパケットのレイヤー2ヘッダーを調べ、その情報を使用してパケットのネクストホップを決定します
Answer: A,B
Explanation:
This is the basic function of the router to receive incoming packets and then forward them to their required destination. This is done by reading layer 3 headers of inbound packets and update the info to layer 2 for further hopping.
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