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NEW QUESTION: 1
システム管理者は単純なパッケージをインストールしますが、Linuxシステムは次のエラーを返します：rpmdb openは失敗します。 RPMデータベースに問題があるかどうかを確認するには、システム管理者が次のコマンドを実行します。

この問題を解決するために、システム管理者がNEXTを実行する必要があるコマンドは次のうちどれですか。
A. cd/var/lib/rpm; rm -f _db*; rpm --rebuilddb; yum clean all
B. cd/var/lib/rpm; rpm -qa; rm -f _db*; yum clean all
C. cd/var/lib/rpm; rpm -qd; rpm --rebuilddb; yum clean all
D. cd/var/lib/rpm; rpm --rebuilddb ; rm -f _db*; yum clean all
Answer: B

NEW QUESTION: 2
First National Bank is a member of a multibank holding company. The bank makes ARM loans and occasionally purchases ARM loans from its affiliate national and state banks as well as from nonaffiliate banks. Which of the following practices is NOT acceptable under the OCC ARM regulation?
A. The bank makes loans to purchase single-family dwellings with interest rates that may be adjusted from time to time.
B. The bank links the interest rate indices on its own ARM loans to them national prime rate as published in The Wall Street Journal.
C. The bank purchases loans from its state affiliate banks where the index on the loan is tied to First National's prime rate.
D. The bank requires its national bank affiliates to use the national prime rate as published in The Wall Street Journal as the index for any of the ARM loans it purchases.
Answer: C

NEW QUESTION: 3
You are building an intelligent solution using machine learning models.
The environment must support the following requirements:
* Data scientists must build notebooks in a cloud environment
* Data scientists must use automatic feature engineering and model building in machine learning pipelines.
* Notebooks must be deployed to retrain using Spark instances with dynamic worker allocation.
* Notebooks must be exportable to be version controlled locally.
You need to create the environment.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

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