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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 and several of the
service consumers that access it have had to raise runtime exceptions due to these
problems. What steps can be taken to solve these problems without compromising the
normalization of the service inventory?
A. None of the above.
B. The Service Autonomy principle can be applied to increase the physical isolation of
Service A and to reduce dependencies Service A has on external resources. In support of
this, the Service Data Replication pattern can be applied in order to establish a dedicated
database that contains replicated data from shared Databases A, B, and C . Furthermore,
the Redundant Implementation pattern can be applied so that the logic Service A requires
from Services B and C can be redundantly placed inside of Service A . This way, Service A
avoids having to separately compose Services B and C
C. The Service Loose Coupling and Standardized Service Contract principles can be
applied by introducing a separate utility service that provides centralized data access to the
Databases A, B, and C, and exposes a standardized service contract that can be used by
Service A . This will prevent Service A from direct dependencies on the shared databases
in case any of them are replaced in the future. By following this approach, the Legacy
Wrapper pattern is effectively applied via the introduction of the new utility service.
D. The Service Statelessness principle can be applied with the help of the State Repository
pattern in order to establish a state database that Service A can use to defer state data it
may be required to hold for extended periods. The Service Autonomy principle can also be
applied in order to increase the physical isolation of Service A and to reduce dependencies
Service A has on external resources. In support of this, the Service Data Replication
pattern can be applied in order to establish a dedicated database that contains replicated
data from shared Databases A, B, and C.
Answer: D

NEW QUESTION: 2
運用環境で欠陥が発見され、修正プログラムを展開するための新しいスプリントアイテムが作成されました。
ただし、コードの変更は、実稼働に入る前に次の手順を実行する必要があります。
*パスワードやアクセスキーの漏洩などのセキュリティ侵害についてコードをスキャンします。
広範囲にわたる長時間の単体テストを通じてコードを実行します。
DevOpsエンジニアは、このプロセスを完了するためにAWS CodePipelineと組み合わせてどのソース管理戦略を使用する必要がありますか？
A. マスターブランチからホットフィックスブランチを作成します。運用パイプラインの修正プログラムブランチ用に個別のソースステージを作成します。ホットフィックスブランチからパイプラインをトリガーします。 AWS Lambdaを使用してコンテンツスキャンを実行し、AWS CodeBuildを使用して単体テストを実行します。ホットフィックスブランチをマスターブランチにマージする手動承認ステージを追加します。
B. マスターブランチからホットフィックスブランチを作成します。ホットフィックスブランチから開発パイプラインをトリガーします。
AWS Lambdaを使用してコンテンツスキャンを実行し、単体テストを実行します。ホットフィックスブランチをマスターブランチにマージする手動承認ステージを追加します。
C. マスターブランチからホットフィックスブランチを作成します。ホットフィックスブランチから開発パイプラインをトリガーします。
AWS CodeBuildを使用してコンテンツスキャンを実行し、単体テストを実行します。ホットフィックスブランチをマスターブランチにマージする手動承認ステージを追加します。
D. masterブランチの最後のコミットでホットフィックスタグを作成します。ホットフィックスタグから開発パイプラインをトリガーします。 Amazon ECSでAWS CodeDeployを使用して、コンテンツスキャンを実行し、単体テストを実行します。ホットフィックスタグをmasterブランチにマージする手動承認ステージを追加します。
Answer: D

NEW QUESTION: 3
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? Choose 3 answers
A. Schedule the load-testing tool to regularly run against the production environment.
B. Create a separate Google Cloud project to use for the load-testing environment.
C. Instrument the load-testing tool and the target services with detailed logging and metrics collection.
D. Instrument the production services to record every transaction for replay by the load- testing tool.
E. Ensure all third-party systems your services use are capable of handling high load.
F. Ensure that the load tests validate the performance of Cloud Bigtable.
Answer: A,C,F

NEW QUESTION: 4
When would you use an existing work schedule rule as the basis for a part-time work schedule without additional configuration?
A. Current schedulE.Monday - Friday (8 hours) New schedulE.Monday, Wednesday, and Friday (8 hours)
B. Current schedulE.Monday-Thursday (9 hours) and Friday (4 hours) New schedulE.Monday Friday (4 hours)
C. Current schedulE.Monday-Thursday (10 hours) New schedulE.Monday - Thursday (6 hours)
D. Current schedulE.Monday-Thursday (8 hours) and Friday (4 hours) New schedulE.Monday Friday (7.2 hours)
Answer: C