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Exam Code:
Professional-Cloud-Database-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud Database Engineer
Questions:
94 Q&A
Product Type:

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NEW QUESTION: 1
Which of the following statements is correct?
A. The settlement amount on a FRA is not based on the LIBOR for the relevant period.
B. The settlement amount is paid at the trade date of a FRA.
C. The cash settlement amount on a FRA is usually a discounted amount.
D. The settlement of a FRA is paid at maturity date.
Answer: C

NEW QUESTION: 2
한 회사가 AWS 랜딩 영역을 구축 중이며 수백 명의 사용자가 회사 자격 증명을 사용하여 AWS 콘솔에 액세스 할 수 있는 다중 계정 액세스 전략을 설계하도록 Solutions Architect에게 요청했습니다. 이 회사는 Microsoft Active Directory를 실행하고 있으며 사용자는 AWS Direct Connect 연결을 사용하여 AWS에 연결합니다. 또한 이 회사는 사용자 지정 응용 프로그램을 포함하여 타사 서비스 및 공급자와 연합 할 수 있기를 원합니다.
최소한의 관리 오버 헤드를 사용하여 요구 사항을 충족하는 솔루션은 무엇입니까?
A. 온 프레미스 Active Directory와 AWS Directory Service간에 양방향 포리스트 신뢰 관계를 생성합니다. AWS Organizations에서 AWS Single Sign-On을 설정합니다. 타사 애플리케이션과의 연결을 위해 단일 사인온 통합을 사용합니다.
B. AWS Directory Service AD 커넥터를 사용하여 온 프레미스 Active Directory를 연결하여 싱글 사인온을 구성합니다. IAM 애플리케이션 및 서비스 연결 기능을 사용하여 AWS 서비스 및 계정에 대한 연동을 활성화합니다. 필요에 따라 타사 싱글 사인온을 활용합니다.
C. SAML 2.0이 포함 된 싱글 사인온 및 AD FS (Active Directory Federation Services)를 사용하여 Active Directory를 AWS에 연결 한 다음, 양식 기반 인증을 사용하도록 ID 공급자 (IdP) 시스템을 구성합니다. 회사 브랜딩으로 AD FS 포털 페이지를 빌드하고 필요에 따라 SAML 2.0을 지원하는 타사 애플리케이션을 통합합니다.
D. AD FS 및 SAML 2.0을 사용하여 회사의 Active Directory를 AWS에 연결합니다. 모든 AWS 계정의 연동을 허용하기 위해 보안 그룹에 대한 Regex 및 공통 Active Directory 명명 규칙을 활용하도록 AD FS 클레임 규칙을 구성합니다. 필요에 따라 타사 Single Sign-On을 활용하고 AD FS 서버에 추가합니다.
Answer: A
Explanation:
Explanation
https://aws.amazon.com/blogs/security/aws-federated-authentication-with-active-directory-federation-services-ad
https://docs.aws.amazon.com/singlesignon/latest/userguide/what-is.html

NEW QUESTION: 3
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。 連載の各質問には、記載されている目標を達成できる可能性のある固有の解決策が含まれています。 他の人が正しい解決策を持っていないかもしれない間、いくつかの質問セットは複数の正しい解決策を持つかもしれません。
このセクションで質問に答えた後は、それに戻ることはできません。 その結果、これらの質問はレビュー画面に表示されません。
Contoso Ltd.でSQL Serverインスタンスを管理します。
Kim Rallsという名前の新しい従業員は、SalesDBデータベースのdbo.Orderテーブルからのみデータを読み取ることができなければなりません。
KimRallsという名前のSQLログインを作成します。 次に、SalesDBにKimRallsという名前のSQLユーザーアカウントを作成します。
ユーザーアカウントはSQLログインに関連付けられています。
KimRallsに必要な許可を与える必要があります。 あなたの解決策は最小特権の原則に従う必要があります。
解決策:次の操作を実行します。
* SalesDBにOrderReaderという名前のカスタムデータベースロールを作成します。
* OrderReaderロールにdbo.OrderのSelect権限を付与します。
* KimRallsをOrderReaderロールに追加します。
解決策は目標を満たしていますか?
A. No
B. Yes
Answer: B
Explanation:
Explanation
We set up select permission on dbo.Order table.
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/grant-object-permissions-transact-sql

NEW QUESTION: 4
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 implement the data partitioning strategy.
How should you partition the Fact.Order table?
A. Create 2,557 partitions.
B. Create 730 partitions.
C. Create 17,520 partitions.
D. Use a granularity of two days.
Answer: A
Explanation:
Explanation
We create on partition for each day. 7 years times 365 days is 2,555. Make that 2,557 to provide for leap years.
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.

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