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NEW QUESTION: 1
ネットワークにプライベートIPv4アドレッシングを実装する理由は2つありますか？ （2つ選択してください。）
A. 現地法の順守
B. IPv4アドレスを節約する
C. ネットワークルーターの転送テーブルのサイズを小さくする
D. PCI規制の遵守
E. ネットワークセキュリティ侵害のリスクを軽減する
Answer: B,E

NEW QUESTION: 2
Service A is a utility service that provides generic data access logic to a database that
contains data that is periodically replicated from a shared database (1). Because the
Standardized Service Contract principle was applied to the design of Service A, its service
contract has been fully standardized.
The service architecture of Service A is being accessed by three service consumers.
Service Consumer A accesses a component that is part of the Service A implementation by
invoking it directly (2). Service Consumer B invokes Service A by accessing its service
contract (3). Service Consumer C directly accesses the replicated database that is part of
the Service A implementation (4).
You've been told that the shared database will soon be replaced with a new database
product that will have new data models and new replication technology. How can the
Service A architecture be changed to avoid negative impacts that may result from the
replacement of the database and to establish a service architecture in which negative
forms of coupling can be avoided in the future?

A. None of the above.
B. The Contract Centralization pattern can be applied to force all service consumers to
access the Service A architecture via its published service contract. This will prevent
negative forms of coupling that could lead to problems when the database is replaced. The
Service Abstraction principle can then be applied to hide underlying service implementation
details so that future service consumers cannot be designed to access any part of the
underlying service implementation.
C. The Contract Centralization pattern can be applied to force Service Consumer C to
access the Service A architecture via its published service contract. This will prevent
Service Consumer A from being negatively impacted when the database is replaced in the
future.
D. The Standardized Service Contract principle can be applied to force Service Consumer
B to comply to the standardized service contract of Service A.
As a result, the coupling between Service Consumer B and Service A is reduced. The Logic Centralization pattern
can then be applied to position the logic provided by Service A as a primary access point
for the database. As a result, the component within the Service A architecture abstracts the
proprietary details of the database, thereby shielding Service Consumer A (and any future
service consumers) from changes made to the database.
Answer: B

NEW QUESTION: 3
A client is being discharged from the hospital tomorrow following a colon resection with a left colostomy. The nurse knows that the client understands the discharge teaching about care of her colostomy when she says:
A. "I know that I am not supposed to irrigate my colostomy."
B. "My stool will be soft like paste."
C. "My stoma should be red and slightly raised."
D. "The skin around my stoma may become irritated from the enzymes in my stool."
Answer: C
Explanation:
(A) A left colostomy indicates an ascending colon resection. This type of colostomy can be irrigated. (B) The stool from an ascending colon resection should be formed. (C) The healthy stoma should be red and slightly raised. If it begins to turn dark or blue, the client should see the physician immediately. (D) The stool in the ascending colon does not usually have many enzymes in it. Stool from an ileostomy has more enzymes and is more irritating to the skin.

NEW QUESTION: 4
You are designing an Al solution that must meet the following processing requirements:
* Use a parallel processing framework that supports the in-memory processing of high volumes of data.
* Use in-memory caching and a columnar storage engine for Apache Hive queries.
What should you use to meet each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Apache Spark
Apache Spark is a parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. Apache Spark in Azure HDInsight is the Microsoft implementation of Apache Spark in the cloud.
Box 2: Interactive Query
Interactive Query provides In-memory caching and improved columnar storage engine for Hive queries.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/interactive-query/apache-interactive-query-get-started