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NEW QUESTION: 1
あなたは、マネージャーのユーザーログイン/パスワードに提供されるIDとしてMicrosoft Azure Active Directory（AD）を使用しているグローバル保険組織のセキュリティコンサルタントとして働いています。ユーザーがOracleCloud Infrastructure（OCI）コンソールにログインすると、AzureADによって認証される必要があります。
OCIを有効にするために、OCI側で構成する必要がある一連の手順
A. Azure ADをIDプロバイダーとしてセットアップし、ユーザーとグループをAzure ADからOCIにインポートし、AzureADグループへのアクセスを管理するIAMポリシーをセットアップします
B. Azure ADをエンタープライズアプリケーションとしてセットアップし、AzureADのユーザーとグループおよびポリシーをOCIグループとユーザーにマップします
C. Azure ADをエンタープライズアプリケーションとしてセットアップし、シングルサインオン用にOCIを構成し、Azure ADグループをOCIグループにマップし、AzureADグループへのアクセスを管理するIAMポリシーをセットアップします
D. Azure ADをIDプロバイダーとしてセットアップし、Azure ADグループをOCIグループにマップし、AzureADグループへのアクセスを管理するIAMポリシーをセットアップします
Answer: D
Explanation:
Federating with Microsoft Azure Active Directory
To federate with Azure AD, you set up Oracle Cloud Infrastructure as a basic SAML single sign-on application in Azure AD. To set up this application, you perform some steps in the Oracle Cloud Infrastructure Console and some steps in Azure AD.
Following is the general process an administrator goes through to set up the federation. Details for each step are given in the next section.
In Oracle Cloud Infrastructure, download the federation metadata document.
In Azure AD, set up Oracle Cloud Infrastructure Console as an enterprise application.
In Azure AD, configure the Oracle Cloud Infrastructure enterprise application for single sign-on.
In Azure AD, set up the user attributes and claims.
In Azure AD, download the Azure AD SAML metadata document.
In Azure AD, assign user groups to the application.
In Oracle Cloud Infrastructure, set up Azure AD as an identity provider.
In Oracle Cloud Infrastructure, map your Azure AD groups to Oracle Cloud Infrastructure groups.
In Oracle Cloud Infrastructure, set up the IAM policies to govern access for your Azure AD groups.
Share the Oracle Cloud Infrastructure sign-in URL with your user
NEW QUESTION: 2
Which money market instrument is supported in the secondary market by primary dealers?
A. Commercial paper
B. Deposits
C. Corporate bond
D. T-bill
Answer: D
NEW QUESTION: 3
DRAG DROP
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
You have the following requirements:
*
Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
*
- Partition the Fact.Order table and retain a total of seven years of data.
*
- Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
*
- Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
*
- Incrementally load all tables in the database and ensure that all incremental changes are processed.
*
- Maximize the performance during the data loading process for the Fact.Order partition.
*
- Ensure that historical data remains online and available for querying.
*
- Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
You need to configure the Fact.Order table.
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:
Explanation:
From scenario: Partition the Fact.Order table and retain a total of seven years of data.
Maximize the performance during the data loading process for the Fact.Order partition.
Step 1: Create a partition function.
Using CREATE PARTITION FUNCTION is the first step in creating a partitioned table or index.
Step 2: Create a partition scheme based on the partition function.
To migrate SQL Server partition definitions to SQL Data Warehouse simply:
Step 3: Execute an ALTER TABLE command to specify the partition function.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-partition