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NEW QUESTION: 1
Cash is received for services not yet performed. This transaction affects an asset account and a(n)
A. revenue account.
B. liability account.
C. asset account.
Answer: B
Explanation:
This transaction affects an asset account and a liability account. The receipt of cash affects an asset account (Cash) and a liability account (Unearned Revenue) because payment has been received for services not yet performed.

NEW QUESTION: 2
HOTSPOT



Hot Area:

Answer:
Explanation:

NEW QUESTION: 3
Which of these statements about resources and capabilities is CORRECT?
A. Resources and capabilities are both types of service asset
B. Neither capabilities nor resources are types of service asset
C. Resources are types of service asset and capabilities are not
D. Capabilities are types of service asset and resources are not
Answer: A
Explanation:
Explanation/Reference:
Explanation:

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. Spark Streamingジョブ
B. Spark MLibを使用するSparkアプリケーション。
C. Power BIモデル
D. インタラクティブなSparkクエリ
E. Azure Cognitive Servicesアプリケーション
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