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NEW QUESTION: 1
A. Type=daisy, Color=yellow
B. Type=daisy, Color=daisyyellow
C. Type=daisy, Color=
D. Type=daisy, Color=w
Answer: C
NEW QUESTION: 2
Your company has a Microsoft SQL Server data warehouse instance. The human resources department assigns all employees a unique identifier. You plan to store this identifier in a new table named Employee.
You create a new dimension to store information about employees by running the following Transact-SQL statement:
You have not added data to the dimension yet. You need to modify the dimension to implement a new column named [EmployeeKey]. The new column must use unique values.
How should you complete the Transact-SQL statements? To answer, select the appropriate Transact-SQL segments in the answer area.
Answer:
Explanation:
NEW QUESTION: 3
시스템 인터페이스에 대한 컨트롤을 디자인 할 때 다음 중 PRIMARY 컨트롤 목표는 무엇입니까?
A. 관리되는 파일 전송 (MFT) 시스템에 중단에 대한 재시작 기능이 있는지 확인하십시오.
B. 송신 시스템의 데이터가 수신 시스템의 데이터와 동일한 지 확인하십시오.
C. 피어 투 피어 데이터 전송이 최소화 되었는지 확인하십시오.
D. 시스템 인터페이스를 통해 전송 된 모든 데이터가 암호화 되었는지 확인하십시오.
Answer: D
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. インタラクティブなSparkクエリ
B. Spark Streamingジョブ
C. Azure Cognitive Servicesアプリケーション
D. Spark MLibを使用するSparkアプリケーション。
E. Power BIモデル
Answer: D
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