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NEW QUESTION: 1
A customer has 6,000 desktops and laptops with 1 TB of data, an average backup time of 10 minutes each, and 10 TB of database data. The customer wants a solution that addresses the following requirements:
Deduplication in the shortest backup window with the fewest components
Least performance impact on the database servers
Which Avamar solution is recommended?
A. One Avamar 7.8 TB 3-node server integrated with a Data Domain system
B. NetWorker with integrated deduplication nodes and a Data Domain system
C. Two Avamar 2.0 TB 5-node servers integrated with a Data Domain system
D. NetWorker with multiple deduplication nodes
Answer: C
NEW QUESTION: 2
客户的网络连接形如:
N1-----MSR-1-----MSR-2----MSR-3-----N2
在 MSR-1 上配置了如下的静态路由:
ip route-static 192.168.100.0 255.255.0.0 null0
那么关于此路由的解释正确的是 ______ 。（多选)
A. 在该路由器上,所有目的地址属于 192.168.100.0/16 的数据包都会被丢弃匹配了这条路由才会丢弃
B. 该静态路由永远存在于路由表中
C. 如果匹配了这条静态路由,那么数据包会被丢弃而且不向源地址返回任何信息
D. 在某些情况下,该路由可以避免环路
Answer: B,C,D
NEW QUESTION: 3
The sl:shoppingList and sl:item tags output a shopping list to the response and are used as follows:
1 1. <sl:shoppingList>
1 2. <sl:item name="Bread" />
1 3. <sl:item name="Milk" />
1 4. <sl:item name="Eggs" />
15. </sl:shoppingList>
The tag handler for sl:shoppingList is ShoppingListTag and the tag handler for sl:item is
ItemSimpleTag.
ShoppingListTag extends BodyTagSupport and ItemSimpleTag extends
SimpleTagSupport.
Which is true?
A. It is impossible for ItemSimpleTag and ShoppingListTag to find each other in a tag hierarchy because one is a Simple tag and the other is a Classic tag.
B. ItemSimpleTag can find the enclosing instance of ShoppingListTag by calling findAncestorWithClass() on the PageContext and casting the result to ShoppingListTag.
C. ShoppingListTag can find the child instances of ItemSimpleTag by calling super.getChildren() and casting each to an ItemSimpleTag.
D. ItemSimpleTag can find the enclosing instance of ShoppingListTag by calling getParent() and casting the result to ShoppingListTag.
E. ShoppingListTag can find the child instances of ItemSimpleTag by calling getChildren() on the PageContext and casting each to an ItemSimpleTag.
Answer: D
NEW QUESTION: 4
会社は、販売トランザクションや顧客アカウント情報など、大規模なデータセットをAzureに保存します。
データを分析するソリューションを設計する必要があります。 次のHDInsightクラスターを作成する予定です。
クラスタがクエリ要件をサポートしていることを確認する必要があります。
どのクラスタータイプをお勧めしますか？ 回答するには、回答領域で適切な構成を選択します。
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: Interactive Query
Choose Interactive Query cluster type to optimize for ad hoc, interactive queries.
Box 2: Hadoop
Choose Apache Hadoop cluster type to optimize for Hive queries used as a batch process.
Note: In Azure HDInsight, there are several cluster types and technologies that can run Apache Hive queries. When you create your HDInsight cluster, choose the appropriate cluster type to help optimize performance for your workload needs.
For example, choose Interactive Query cluster type to optimize for ad hoc, interactive queries. Choose Apache Hadoop cluster type to optimize for Hive queries used as a batch process. Spark and HBase cluster types can also run Hive queries.
References:
https://docs.microsoft.com/bs-latn-ba/azure/hdinsight/hdinsight-hadoop-optimize-hive-query?toc=%2Fko-kr%2Fazure%2Fhdinsight%2Finteractive-query%2FTOC.json&bc=%2Fbs-latn-ba%2Fazure%2Fbread%2Ftoc.json