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NEW QUESTION: 1
프로젝트 범위 관리 계획을 개발하는 목적은 다음과 같습니다.
A. 프로젝트에 필요한 모든 작업이 포함되어 있는지 확인하십시오.
B. 프로젝트의 적시 완료를 관리합니다.
C. 프로젝트에서 부정적인 사건의 위험을 줄입니다.
D. 프로젝트가 시작된 요구 사항을 충족시켜야 합니다.
Answer: A

NEW QUESTION: 2
5時間によってテスト・データベースをフラッシュバックします。
次のコマンドを発行します:
SQL > FLASHBACK DATABASE TO TIMESTAMP (SYSDATE - 5/24);
どの2つのステートメントはこのフラッシュバックのシナリオについて真ですか。
A. フラッシュバックが成功するためにデータベースはブロック変更トラッキングを使用しなければなりません。
B. データベースはフラッシュバックが完了した後、RESETLOGSオプションでオープンしなければなりません。
C. データベースはフラッシュバックを成功するために多重REDOログを持っていなければなりません。
D. フラッシュバックが成功するためにデータベースが制限モードでオープンしなければなりません。
E. データベースはデータベースが正しいSCNにフラッシュバックされているかどうかを確認するために、読み取り専用モードでオープンしなければなりません。
F. フラッシュバックが成功するためにデータベースをマウントしなければなりません。
Answer: B,F

NEW QUESTION: 3
政府計画部門のソリューションを設計する必要があります。
どのサービスを設計に含める必要がありますか？
A. Azure SQL Database and Elastic Queries
B. Azure SQL Data Warehouse and Elastic Queries
C. Azure SQL Data Warehouse and Polybase
D. Azure SQL Database and Polybase
Answer: C
Explanation:
PolyBase is a new feature in SQL Server 2016. It is used to query relational and non-relational databases (NoSQL) such as CSV files.
Scenario: Traffic data must be made available to the Government Planning Department for the purpose of modeling changes to the highway system. The traffic data will be used in conjunction with other data such as information about events such as sporting events, weather conditions, and population statistics. External data used during the modeling is stored in on-premises SQL Server 2016 databases and CSV files stored in an Azure Data Lake Storage Gen2 storage account.
Reference:
https://www.sqlshack.com/sql-server-2016-polybase-tutorial/
Topic 6, Litware Case
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared foods, such as sandwiches and pizzas.
Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout.
Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks notebooks.
Requirements. Business Goals
Litware wants to create a new analytics environment in Azure to meet the following requirements:
* See inventory levels across the stores. Data must be updated as close to real time as possible.
* Execute ad hoc analytical queries on historical data to identify whether the loyalty club discounts increase sales of the discounted products.
* Every four hours, notify store employees about how many prepared food items to produce based on historical demand from the sales data.
Requirements. Technical Requirements
Litware identifies the following technical requirements:
* Minimize the number of different Azure services needed to achieve the business goals
* Use platform as a service (PaaS) offerings whenever possible and avoid having to provision virtual machines that must be managed by Litware.
* Ensure that the analytical data store is accessible only to the company's on-premises network and Azure services.
* Use Azure Active Directory (Azure AD) authentication whenever possible.
* Use the principle of least privilege when designing security.
* Stage inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data Lake Storage once the data is no longer in use. Files that have a modified date that is older than 14 days must be removed.
* Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant.
* Ensure that you can quickly restore a copy of the analytical data store within one hour in the event of corruption or accidental deletion.
Requirements. Planned Environment
Litware plans to implement the following environment:
* The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.
* Customer data, including name, contact information, and loyalty number, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
* Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
* Daily inventory data comes from a Microsoft SQL server located on a private network.
* Litware currently has 5 TB of historical sales data and 100 GB of customer data. The company expects approximately 100 GB of new data per month for the next year.
* Litware will build a custom application named FoodPrep to provide store employees with the calculation results of how many prepared food items to produce every four hours.
* Litware does not plan to implement Azure ExpressRoute or a VPN between the on-premises network and Azure.

NEW QUESTION: 4
Your work at ABC.com includes the preparation of company documents using Microsoft Office Word 2010. You insert a table into your document. To make the data in the table easier to read, you want to configure the even numbered rows to be formatted differently from the odd number rows. Which function should you use?
A. You should use the Borders function on the Design tab.
B. You should use the Header Row function on the Design tab.
C. You should use the Banded Rows function on the Design tab.
D. You should use the Shading function on the Design tab.
Answer: C