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NEW QUESTION: 1
Which of the following commands adds a static IPv6 address to the network interface eth0?
A. ip addr add -6 2001:db8::1337/64 dev eth0
B. ip addr add 2001:db8::1337/64 dev eth0
C. ip add addr 2001:db8::1337/64 dev eth0
D. ip -6 addr add new 2001:db8::1337/64 dev eth0
E. ip -6 add addr 2001:db8::1337/64 dev eth0
Answer: D

NEW QUESTION: 2
Scenario:
A company has been using a Fibre Channel infrastructure for the last three years. The company is located in a nine-story building but is currently occupying eight floors. Each of the nine floors has its own Brocade 8 Gb SAN Switch with Fibre Channel, which has a license for eight ports. Each department hosts a single Windows 2008 terminal server host for connection to their storage and data applications on the SAN, which is in the data center on the first floor. Each Brocade 8/8 switch is connected to the floor above and below by a single fibre connection.
Refer to the Scenario:
As utilization of the terminal servers increases, the company notices more I/O timeouts from the servers on the second through eight floors. Without upgrading the current company infrastructure.
Which change should you make to their configuration to resolve this issue?
A. Add addtional ISL connections between floors one through four.
B. Add additional ISL connections between floors five through eight.
C. Enable trunking on switches between floors fire through eight.
D. Enable trunking on all switches between floors one through four.
Answer: A

NEW QUESTION: 3
次の処理要件を満たす必要があるAlソリューションを設計しています。
*大量のデータのメモリ内処理をサポートする並列処理フレームワークを使用します。
* Apache Hiveクエリには、メモリ内キャッシュとカラムナーストレージエンジンを使用します。
各要件を満たすために何を使用する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

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