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NEW QUESTION: 1
Your customer has an established IBM Storwize V7000 storage environment and is looking to increase the available capacity to take advantage of the on-board FlashCopy function. The requirement is to provide an independent, incremental image that can be subjected to intensive I/O (for example, data mining) without affecting the source volume's performance.
Which IBM Storwize V7000 FlashCopy pre-set feature should you advise?
A. Snapshot
B. Consistency
C. Backup
D. Clone
Answer: C
NEW QUESTION: 2
Which four are supported by the Receiving Open Interface (ROI)? (Choose four.)
A. Correct transactions
B. Movement statistics
C. Dynamic locators
D. Deliver transactions
E. Transfer transactions
F. Receive transactions
G. Unordered receipt
Answer: A,D,E,F
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 3
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. Power BIモデル
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. Spark Streamingジョブ
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
NEW QUESTION: 4
WebSphere MQおよびメッセージルーティングに関するTRUEのステートメントはどれですか？
A. WebSphere MQはメッセージのプロパティを調べ、適切なコンシューマーにルーティングします。
B. WebSphere MQは、メッセージ本文の内容に基づいてルーティングしません。
C. WebSphere MQは、メッセージ記述（MQMD）ヘッダーでコンシューマー名を探します。
D. XPATH式を記述して、WebSphere MQにメッセージをルーティングする方法を指示できます。
適切な消費者。
Answer: B