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NEW QUESTION: 1
注：この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、独自の解決策が含まれています。 ソリューションが目標を達成しているかどうかを判断する。
ネットワークにcontoso.comという名前のActive Directoryドメインが含まれています。 ドメインには、Server1という名前のDNSサーバーが含まれています。 すべてのクライアントコンピュータはWindows 10を実行します。
Server1には、次のゾーン構成があります。
Server1には、次のサブネットが定義されています。
Subnet4にあるDNSクライアントからのクエリをServer1が解決しないようにする必要があります。 Server1は他のすべてのDNSクライアントからクエリを解決する必要があります。
解決策：ドメイン内のグループポリシーオブジェクト（GPO）から、ネットワークリストマネージャのポリシーを変更します。
これは目標を満たしていますか？
A. No
B. Yes
Answer: A
Explanation:
Explanation
https://technet.microsoft.com/en-us/library/jj966256(v=ws.11).aspx
NEW QUESTION: 2
What gets typically post to cost objects, therefore, it makes sense to perform this initial load before executing the initial loads for financial accounting (FI) postings and management accounting (CO) posting?
A. Low Volume data
B. Accounting postings
C. Collecting data from different systems
D. Cross Application reporting
Answer: D
NEW QUESTION: 3
Azure Machine Learning Studioで多重線形回帰モデルを作成しています。
いくつかの独立変数は高度に相関しています。
すべてのデータに対して効果的な特徴エンジニアリングを行うための適切な方法を選択する必要があります。
どの3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、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Use the Filter Based Feature Selection module
Filter Based Feature Selection identifies the features in a dataset with the greatest predictive power.
The module outputs a dataset that contains the best feature columns, as ranked by predictive power. It also outputs the names of the features and their scores from the selected metric.
Step 2: Build a counting transform
A counting transform creates a transformation that turns count tables into features, so that you can apply the transformation to multiple datasets.
Step 3: Test the hypothesis using t-Test
References:
https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/studio-module-reference/filter-based-feature-selec
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/build-counting-transform
NEW QUESTION: 4
DRAG DROP
You administer a Microsoft SQL Server 2012 server that has multiple databases.
You need to ensure that users are unable to create stored procedures that begin with sp_.
Which three 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:
Step 1: Create a Condition named StoredProcNamingConvention by using the Stored Procedure facet that has a single expression. Set the Field to @Name, Operator to NOT LIKE, and Value to 'sp[_]%'.
Step 2: Create a Policy named StoredProcNamingPolicy Set the Check condition to StoredProcNamingConvention and Evaluation Mode to On Change: Prevent Step 3: Enable StoredProcNamingPolicy Policies are created and managed by using Management Studio. The process includes the following steps:
Select a Policy-Based Management facet that contains the properties to be configured.
Define a condition that specifies the state of a management facet.
Define a policy that contains the condition, additional conditions that filter the target sets, and the evaluation mode.
Check whether an instance of SQL Server is in compliance with the policy.
Evaluation modes
There are four evaluation modes, three of which can be automated:
On demand. This mode evaluates the policy when directly specified by the user.
On change: prevent. This automated mode uses DDL triggers to prevent policy violations.Important:If the nested triggers server configuration option is disabled, On change: prevent will not work correctly.
Policy-Based Management relies on DDL triggers to detect and roll back DDL operations that do not comply with policies that use this evaluation mode. Removing the Policy-Based Management DDL triggers or disabling nest triggers, will cause this evaluation mode to fail or perform unexpectedly.
On change: log only. This automated mode uses event notification to evaluate a policy when a relevant change is made.
On schedule. This automated mode uses a SQL Server Agent job to periodically evaluate a policy.