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NEW QUESTION: 1
A)
B)
C)
D)
A. Option B
B. Option C
C. Option A
D. Option D
Answer: B
NEW QUESTION: 2
In which of the following situations would a network administrator optimize a company's
WAN?
A. Installed new local application on a private network
B. CPU utilization on a switch is at 95%
C. Contracted with a SaaS provider to provide a new application
D. High amounts of packet loss on a switch port
Answer: C
NEW QUESTION: 3
Which of the following consequences is a result of inaccurate inventory data?
A. Total assets will be affected.
B. Cash flow will increase.
C. Capacity planning will be affected.
D. The carrying cost rate will decrease.
Answer: A
NEW QUESTION: 4
会社のソリューションを設計しています。このソリューションでは、客観的な分類にモデルトレーニングを使用します。
ソリューションを設計する必要があります。
何をお勧めしますか？
A. Azure Cognitive Servicesアプリケーション
B. Spark MLibを使用するSparkアプリケーション。
C. インタラクティブなSparkクエリ
D. Power BIモデル
E. Spark Streamingジョブ
Answer: B
Explanation:
Spark in SQL Server big data cluster enables AI and machine learning.
You can use Apache Spark MLlib to create a machine learning application to do simple predictive analysis on an open dataset.
MLlib is a core Spark library that provides many utilities useful for machine learning tasks, including utilities that are suitable for:
* Classification
* Regression
* Clustering
* Topic modeling
* Singular value decomposition (SVD) and principal component analysis (PCA)
* Hypothesis testing and calculating sample statistics
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-machine-learning-mllib-ipython
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