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NEW QUESTION: 1
注：この質問は、同じような回答の選択肢を使用する一連の質問の一部です。回答の選択肢は、シリーズの複数の質問に対して正しいことがあります。各質問は、このシリーズの他の質問とは関係ありません。 質問で提供される情報と詳細は、その質問にのみ適用されます
Windows Server 2016を実行するServer1という名前のHyper-Vホストと、Cluster1という名前の2ノードスケールアウトファイルサーバークラスタがあります
VM1という名前の仮想マシンがServer1上で実行される
VM1上のストレージをCluster1に移行する必要があります
どのツールを使用しますか？
A. the configurehyperv.exe command
B. the cluster.exe command
C. the Computer Management console
D. the Server Manager Desktop app
E. the Failover Cluster Manager console
F. the clussvc.exe command
G. the Disk Management console
H. the Hyper-V Manager console
Answer: H
NEW QUESTION: 2
Which of the following commands can be used to limit the amount of memory a user may use?
A. umask
B. chage
C. usermod
D. ulimit
E. passwd
Answer: D
Explanation:
Explanation
Section: Security
NEW QUESTION: 3
データ管理を使用できる3つのタスクはどれですか？ （3つ選択してください。）
A. 固定幅または区切りテキストファイルからデータをロードする
B. 期間累計または年初来のデータを読み込んでいます
C. メタデータインポートファイルの読み込み
D. WebフォームまたはSmartViewからのドリルスルー
E. ソースシステムへのデータの書き戻し
Answer: A,D,E
Explanation:
fixed width file or a delimited file,
In Data Management, write-back functionality is available.
Reference:
integrate_file_104xd8fa487f.html
https://docs.oracle.com/en/cloud/saas/enterprise-performance-management-common/erpia/write-back.html
https://docs.oracle.com/applications/smartview/810/UGSUG/drill_through_procedure_102xd6eca4c6.htm#UGSUG-GUID-C221538B-5352-4742-A1A1-18F16CE4D099
NEW QUESTION: 4
Service A is an orchestrated task service that is invoked by a separate composition initiator
(1) and then sends a request message to Service C (2). Service C queries Database B to
retrieve a large data record (3) and provides this data in a response message that is sent
back to Service A.
Service A temporarily stores this data in a central state database (4) and
then sends a request message to Service D (5), which accesses a legacy system API to
retrieve a data value (6). Service D then sends this data value in a response message back
to Service A.
The data in the state database is subsequently retrieved by Service A (7) and
merged with the newly received data value. This combined data is written to Database A
(8), which triggers an event that results in the invocation of Service B (9).
Service B is an orchestrated task service that sends a request message to Service D (10).
which accesses a legacy system API to retrieve a data value (11) and then sends this data
value in a response message back to Service B.
Service B temporarily stores this data in a
central state database (12) and then sends a request message to Service E (13), which
performs a runtime calculation and then responds with the calculated data value back to
Service B.
The data in the state database is then retrieved by Service B (14) and merged
with the calculated data value. Service B then uses the merged data to complete its
business task.
The following specific problems and requirements exist:
* Database B uses a proprietary data format that is not compliant with the XML
format used by all of the services in this service composition architecture This
incompatibility needs to be solved in order to enable the described service
message exchanges.
* The service contract provided by Service D does not comply with the data model
standards that were applied to the other services and therefore uses a different
data model to represent the same type of data that is exchanged. This
incompatibility needs to be solved in order to enable communication with Service
D.
* Database B is a shared database that can be accessed by other services and
applications within the IT enterprise, which causes unpredictable runtime
performance. This performance problem needs to be solved in order to make the
runtime behavior of Service C more predictable.
* For performance and maintenance reasons, Service A and Service B need to be
deployed in the same physical environment where they can share a common state
database.
Upon reviewing these requirements it becomes evident to you that the Enterprise Service
Bus compound pattern will need to be applied. However, there are additional requirements
that need to be fulfilled. To build this service composition architecture, which patterns that
is not associated with the Enterprise Service Bus compound pattern need to also be
applied? (Be sure to choose only those patterns that relate directly to the requirements
described above. Patterns associated with the Enterprise Service Bus compound pattern
include both the required or core patterns that are part of the basic compound pattern and
the optional patterns that can extend the basic compound pattern.)
A. Compensating Service Transaction
B. Service Data Replication
C. Protocol Bridging
D. Atomic Service Transaction
E. Data Model Transformation
F. Process Centralization
G. State Repository
H. Event-Driven Messaging
I. Data Format Transformation
J. Intermediate Routing
K. Redundant Implementation
L. Reliable Messaging
M. Policy Centralization
Answer: B,F,G