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NEW QUESTION: 1
ソフトウェア会社のエンジニアがウイルス作成ツールを作成しました。このツールは、何千ものポリモーフィックウイルスを生成する可能性があります。エンジニアは、管理された環境でツールを使用して、会社の次世代ウイルススキャンソフトウェアをテストすることを計画しています。エンジニアの行動を最もよく表しているのはどれですか。その理由は何ですか。
A. そのようなツールがインターネット上に漏洩する可能性があるため、この行動は倫理的ではありません。
B. 経験豊富なプログラマーなら誰でもそのようなツールを作成できるため、この動作は倫理的です。
C. ツールはより優れたウイルススキャナーを作成するために使用されるため、この動作は倫理的です。
D. あらゆる種類のウイルスを作成することは悪いため、行動は倫理的ではありません。
Answer: C

NEW QUESTION: 2
Below is a partial listing of possible scenarios in_________________.
-100 % control
-More than a majority or supermajority, but less than 100%
-More than 50% but less than a supermajority, where state statutes or articles of incorporation require a supermajority
-50 %
-Less than 50 % but "effective control"
-Minority shares that control by voting block
A. B & C both are the same
B. Discount for lack of control or minority discounts
C. Control spectrum
D. Control or lack of control spectrum
Answer: A

NEW QUESTION: 3
Prior to adding a tile to an app group, what must you configure?
Please choose the correct answer. Response:
A. Search models
B. Users
C. Catalogs
D. Roles
Answer: D

NEW QUESTION: 4
Note: This question is part of series of questions that present the same scenario. Each question in the series contain a unique solution. Determine whether the solution meets the stated goals.
You develop data engineering solutions for a company.
A project requires the deployment of resources to Microsoft Azure for batch data processing on Azure HDInsight. Batch processing will run daily and must:
Scale to minimize costs
Be monitored for cluster performance
You need to recommend a tool that will monitor clusters and provide information to suggest how to scale.
Solution: Monitor clusters by using Azure Log Analytics and HDInsight cluster management solutions.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
HDInsight provides cluster-specific management solutions that you can add for Azure Monitor logs.
Management solutions add functionality to Azure Monitor logs, providing additional data and analysis tools.
These solutions collect important performance metrics from your HDInsight clusters and provide the tools to search the metrics. These solutions also provide visualizations and dashboards for most cluster types supported in HDInsight. By using the metrics that you collect with the solution, you can create custom monitoring rules and alerts.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-oms-log-analytics-tutorial