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NEW QUESTION: 1
Azure Data Lakeのデータを使用し、Azure Machine Learningアルゴリズムを使用してセンチメント分析を実行するアプリケーションを設計する予定です。
アプリケーションの開発者は、Windowsベースの環境とLinuxベースの環境を組み合わせて使用​​します。開発者は、共有GitHubリポジトリに貢献します。
すべての開発者が同じツールを使用してアプリケーションを開発する必要があります。
使用するのに最適なツールは何ですか？複数の回答を選択することで目標を達成できます。
A. Azureノートブック
B. Azure Machine Learning Studio
C. Microsoft Visual Studioコード
D. Microsoft Visual Studio
Answer: C
Explanation:
Explanation
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/data-lake-walkthrough

NEW QUESTION: 2
Which configuration can be applied to ensure that no more than 600 MAC addresses are learned by a virtual switch?

A. Option D
B. Option A
C. Option C
D. Option B
Answer: C

NEW QUESTION: 3
Which of the following principles should be followed when introducing a test tool into an organization?
(i) Assessing organizational maturity to establish whether a tool will provide expected benefits.
(ii) Requiring a quick payback on the initial investment.
(iii) Including a requirement for the tool to be easy to use without having to train unskilled testers.
(iv) Identifying and agreeing requirements before evaluating test tools.
A. (i) and (ii)
B. (ii) and (iii)
C. (iii) and (iv)
D. (i) and (iv)
Answer: D
Explanation:
Assessing organizational maturity (i) is very important when deciding whether to introduce a test tool, as implementing a tool in an immature test organization with poor processes is unlikely to produce any benefits.
A quick return on the initial investment (ii) in a test tool is rare.
Having a requirement that a tool should be easy to use for untrained and unskilled testers (iii) is generally a false hope. This is comparable with expecting someone who has never driven a car to be able to drive safely and effectively.
Agreeing requirements before evaluating tools (iv) is essential. Not to do so would be comparable with building and testing a system without requirements.
In conclusion, (i) and (iv) are good principles to follow when introducing a tool and (ii) and (iii) are not.