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NEW QUESTION: 1

A. Set-TransportAgent.
B. Set-OrganizationConfig.
C. Set-TransportConfig.
D. Set-Mailbox.
Answer: B

NEW QUESTION: 2
最近のオフィスの移転後、ユーザーはネットワークリソースにアクセスできなくなりましたが、建物内の他のすべてのユーザーは100MB接続で接続できます。さらに調査した後、ネットワーク技術者は次の情報に気づきました。

次のうちどれがネットワーク接続の問題を引き起こしていますか？
A. オープン/ショートピン
B. VLANの不一致
C. ポート構成
D. クロストーク
E. 距離制限
Answer: C

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight.
You plan to import 300 TB of data.
You plan to use one job that has many concurrent tasks to import the data in memory.
You need to maximize the amount of concurrent tasks for the job.
What should you do?
A. Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.
B. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
C. Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
D. Use an action in an Apache Oozie workflow that stores the data in a text format.
E. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
F. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
G. Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
H. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
Answer: E
Explanation:
References: https://blog.cloudera.com/blog/2015/03/how-to-tune-your-apache-spark-jobs- part-2/