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NEW QUESTION: 1
다음 중 일시적이고 빠른 전기 감소 또는 증가의 영향으로 부터 보호하는 것은 무엇입니까?
A. 비상 전원 차단 스위치
B. 대기 발전기
C. 중복 전원 공급 장치
D. 무정전 전원 공급 장치 (UPS)
Answer: D

NEW QUESTION: 2
A SysOps Administrator is receiving alerts related to high CPU utilization of a Memcached-based Amazon ElastiCache cluster.
Which remediation steps should be taken to resolve this issue? (Select TWO.)
A. Add additional worker nodes to the ElastiCache cluster
B. Vertically scale the ElastiCache cluster by changing the node type
C. Add a load balancer to route traffic to the ElastiCache cluster
D. Create an Auto Scaling group to the ElastiCache cluster
E. Add a larger Amazon EBS volume to the ElastiCache cluster nodes
Answer: B,E

NEW QUESTION: 3


Answer:
Explanation:

Explanation

NEW QUESTION: 4
機械学習モデルを使用してインテリジェントなソリューションを構築しています。
環境は、次の要件をサポートする必要があります。
*データサイエンティストはクラウド環境でノートブックを作成する必要があります
*データサイエンティストは、機械学習パイプラインで自動機能エンジニアリングとモデル構築を使用する必要があります。
*動的なワーカー割り当てでSparkインスタンスを使用して再トレーニングするには、ノートブックをデプロイする必要があります。
*ノートブックは、ローカルでバージョン管理できるようにエクスポート可能である必要があります。
環境を作成する必要があります。
どの4つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序で配置します。

Answer:
Explanation:

Explanation

Step 1: Create an Azure HDInsight cluster to include the Apache Spark Mlib library Step 2: Install Microsot Machine Learning for Apache Spark You install AzureML on your Azure HDInsight cluster.
Microsoft Machine Learning for Apache Spark (MMLSpark) provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.
Step 3: Create and execute the Zeppelin notebooks on the cluster
Step 4: When the cluster is ready, export Zeppelin notebooks to a local environment.
Notebooks must be exportable to be version controlled locally.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-zeppelin-notebook
https://azuremlbuild.blob.core.windows.net/pysparkapi/intro.html