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NEW QUESTION: 1
Northern Trail Outfitters (NTO) wants to reflect future renewals in its forecast pipeline as soon as the current Contract is created.
Some customers will require changes to existing Contracts during the Contract Term. NTO wants the Opportunity pipeline to reflect this as soon as these changes are applied.
What should the Admin configure to meet the requirement?
A. Automate setting the Renewal Forecast checkbox on the current Contract upon creation.
B. Automate setting the Renewal Quoted checkbox on the current Contract upon creation.
C. Automate renewal forecasting with a Lightning Quick Action on the Opportunity.
D. Automate setting the Renewal Forecast checkbox and Renewal Quoted checkbox on the current Contract upon creation.
Answer: D

NEW QUESTION: 2
What are two standard fiber-optic connectors? (Choose two.)
A. crossover
B. subscriber
C. rollover
D. multidimension
E. Lucent
Answer: B,E

NEW QUESTION: 3
An organization owner creates an organization goal and publishes the goal, while assigning the goal to specific individuals in the organization. Which three statements are true about workers and their goals in the organization?
A. Workers who are assigned the goal can delete the goal.
B. If the organization owner deletes the goal, the corresponding worker goals will be deleted.
C. Worker goals created from the published goal are automatically aligned to the published goal.
D. Workers can remove the alignment to the organization goal.
E. Workers who create their own goals from the published goal can delete the goal.
F. Workers can cancel the goal before they start working on it.
Answer: A,C,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:

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%2F