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NEW QUESTION: 1
HOTSPOT
Answer:
Explanation:
NEW QUESTION: 2
ビッグデータワークロードのインフラストラクチャを展開します。
Azure HDInsightとMicrosoft Machine Learning Serverを実行する必要があります。 RevoScaleR計算コンテキストを設定して、rx関数呼び出しを並行して実行する予定です。
Machine Learning Serverに使用できる3つの計算コンテキストは何ですか？それぞれの正解は完全な解決策を提示します。
注：それぞれの正しい選択には1ポイントの価値があります。
A. SQL
B. local parallel
C. HBase
D. Spark
E. local sequential
Answer: A,B,D
Explanation:
Explanation
Remote computing is available for specific data sources on selected platforms. The following tables document the supported combinations.
RxInSqlServer, sqlserver: Remote compute context. Target server is a single database node (SQL Server
2016 R Services or SQL Server 2017 Machine Learning Services). Computation is parallel, but not distributed.
RxSpark, spark: Remote compute context. Target is a Spark cluster on Hadoop.
RxLocalParallel, localpar: Compute context is often used to enable controlled, distributed computations relying on instructions you provide rather than a built-in scheduler on Hadoop. You can use compute context for manual distributed computing.
References:
https://docs.microsoft.com/en-us/machine-learning-server/r/concept-what-is-compute-context
NEW QUESTION: 3
DRAG DROP
Answer:
Explanation:
NEW QUESTION: 4
A. Cisco UCS M51KR-B
B. Cisco UCS P81E
C. Cisco UCS M72KR-Q
D. Cisco UCS M81KR
E. Cisco UCS M71KR-E
Answer: D
