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NEW QUESTION: 1
While preparing to teach a course at an organization, the trainer sees that part of the contract is the ability for students to contact the trainer with questions after the conclusion of the training. Which of the following is the BEST support information to provide to the students?
A. The trainer's home phone number
B. The trainer's company website address
C. The trainer's email address
D. The company representative's phone number
Answer: C

NEW QUESTION: 2
WebアクセスログデータはAzure Blobストレージに格納します。
アクセスログから月次レポートを生成する予定です。
毎月Azure SQL Databaseにデータをアップロードするための自動処理を推奨する必要があります。
あなたは推薦に何を含めるべきですか？
A. データ移行アシスタント
B. Azure Data Factory
C. AzCopy
D. Microsoft SQL Server移行アシスタント（SSMA）
Answer: B

NEW QUESTION: 3
An administrator created a six node Virtual SAN cluster, created a fault domain, and moved three of the six nodes into that domain.
A node that is a member of the fault domain fails.
What is the expected result?
A. One of the non-member nodes will be automatically added to the fault domain.
B. The remaining two fault domain members are treated as failed.
C. The remaining two fault domain members stay protected by the domain.
D. VMware High Availability will restart virtual machines on remaining nodes in the domain.
Answer: B
Explanation:
When the member of the fault domain fails, the remaining two fault domain members are treated as failed too.

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