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NEW QUESTION: 1
アウトソーシングサービスを提供するサードパーティ組織での管理慣行を評価する場合、IS監査人は独立監査人の報告書に依存することを検討します。 IS監査人.....
A. 独立監査人のワークペーパーを調べます。
B. 推奨事項が実装されているかどうかを判断します
C. 独立監査人と報告について話し合う
D. 監査の目的を確認する
Answer: A

NEW QUESTION: 2
最近の侵入テストの後、会社はその従業員による辞書と季節性パスワードの使用に関する発見をしています。次のうちどれが一般的な辞書の用語の使用を修正するための最良のコントロールですか？
A. パスワード履歴の制限を設ける
B. パスワードを7文字から14文字に拡大してください。
C. パスワードの有効期限を短くする
D. パスワードフィルタを設定する
E. 5回の誤った試行の後にアカウントを無効にします
Answer: B

NEW QUESTION: 3
You are designing an Azure infrastructure to support an Azure Machine Learning solution that will have multiple phases. The solution must meet the following requirements:
* Securely query an on-premises database once a week to update product lists.
* Access the data without using a gateway.
* Orchestrate the separate phases.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Azure App Service Hybrid Connections
With Hybrid Connections, Azure websites and mobile services can access on-premises resources as if they were located on the same private network. Application admins thus have the flexibility to simply lift-and-shift specific most front-end tiers to Azure with minimal configuration changes, extending their enterprise apps for hybrid scenarios.
Incorrect the answer: The VPN connection solution both use gateways.
Box 2: Machine Learning pipelines
Typically when running machine learning algorithms, it involves a sequence of tasks including pre-processing, feature extraction, model fitting, and validation stages. For example, when classifying text documents might involve text segmentation and cleaning, extracting features, and training a classification model with cross-validation. Though there are many libraries we can use for each stage, connecting the dots is not as easy as it may look, especially with large-scale datasets. Most ML libraries are not designed for distributed computation or they do not provide native support for pipeline creation and tuning.
Box 3: Azure Databricks
References:
https://azure.microsoft.com/is-is/blog/hybrid-connections-preview/
https://databricks.com/glossary/what-are-ml-pipelines