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NEW QUESTION: 1
Overview
Application Overview
Contoso, Ltd., is the developer of an enterprise resource planning (ERP) application.
Contoso is designing a new version of the ERP application. The previous version of the ERP application used SQL Server 2008 R2.
The new version will use SQL Server 2014.
The ERP application relies on an import process to load supplier data. The import process updates thousands of rows simultaneously, requires exclusive access to the database, and runs daily.
You receive several support calls reporting unexpected behavior in the ERP application. After analyzing the calls, you conclude that users made changes directly to the tables in the database.
Tables
The current database schema contains a table named OrderDetails.
The OrderDetails table contains information about the items sold for each purchase order. OrderDetails stores the product ID, quantities, and discounts applied to each product in a purchase order.
The product price is stored in a table named Products. The Products table was defined by using the SQL_Latin1_General_CP1_CI_AS collation.
A column named ProductName was created by using the varchar data type. The database contains a table named Orders.
Orders contains all of the purchase orders from the last 12 months. Purchase orders that are older than 12 months are stored in a table named OrdersOld.
The previous version of the ERP application relied on table-level security.
Stored Procedures
The current version of the database contains stored procedures that change two tables. The following shows the relevant portions of the two stored procedures:
Customer Problems
Installation Issues
The current version of the ERP application requires that several SQL Server logins be set up to function correctly. Most customers set up the ERP application in multiple locations and must create logins multiple times.
Index Fragmentation Issues
Customers discover that clustered indexes often are fragmented. To resolve this issue, the customers defragment the indexes more frequently. All of the tables affected by fragmentation have the following columns that are used as the clustered index key:
Backup Issues
Customers who have large amounts of historical purchase order data report that backup time is unacceptable.
Search Issues
Users report that when they search product names, the search results exclude product names that contain accents, unless the search string includes the accent.
Missing Data Issues
Customers report that when they make a price change in the Products table, they cannot retrieve the price that the item was sold for in previous orders.
Query Performance Issues
Customers report that query performance degrades very quickly. Additionally, the customers report that users cannot run queries when SQL Server runs maintenance tasks. Import Issues During the monthly import process, database administrators receive many supports call from users who report that they cannot access the supplier data. The database administrators want to reduce the amount of time required to import the data.
Design Requirements
File Storage Requirements
The ERP database stores scanned documents that are larger than 2 MB. These files must only be accessed through the ERP application. File access must have the best possible read and write performance.
Data Recovery Requirements
If the import process fails, the database must be returned to its prior state immediately.
Security Requirements
You must provide users with the ability to execute functions within the ERP application, without having direct access to the underlying tables.
Concurrency Requirements
You must reduce the likelihood of deadlocks occurring when Sales.Prod and Sales.Proc2 execute.
You need to recommend a solution that resolves the missing data issue.
The solution must minimize the amount of development effort. What should you recommend?
A. Normalize the Products table.
B. Normalize the OrderDetails table.
C. Denormalize the Products table.
D. Denormalize the OrderDetails table.
Answer: A
Explanation:
Explanation
- Scenario:
- Missing Data Issues
Customers report that when they make a price change in the Products table, they cannot retrieve the price that the item was sold for in previous orders.
- The current database schema contains a table named OrderDetails. The OrderDetails table contains information about the items sold for each purchase order. OrderDetails stores the product ID, quantities, and discounts applied to each product in a purchase order.
The product price is stored in a table named Products.
NEW QUESTION: 2
In Microsoft 365, you configure a data loss prevention (DLP) policy named Policy1. Policy1 detects the sharing of United States (US) bank account numbers in email messages and attachments.
Policy1 is configured as shown in the exhibit. (Click the Exhibit tab.)
You need to ensure that internal users can email documents that contain US bank account numbers to external users who have an email suffix of contoso.com.
What should you configure?
A. an exception
B. an action
C. a condition
D. a group
Answer: A
Explanation:
Explanation
Editing Policy settings > +New Rule > Exceptions We won't apply this rule to content that matches any of these exceptions. > +Add an exception > [Dropdownbox] Except if the recipient domain is.
----------------------------- Except if recipient domain is Detects when content is sent in an email message to the recipient domains you specify.
NEW QUESTION: 3
A traditional cube is represented by which SAP HANA view type?
There are 2 correct answers to this question.
Response:
A. Analytic view
B. Calculation view of type dimension
C. Attribute view
D. Calculation view of type cube with star join
Answer: A,D
NEW QUESTION: 4
You have a web application that uses a MongoDB database. You plan to migrate the web application to Azure.
You must migrate to Cosmos DB while minimizing code and configuration changes.
You need to design the Cosmos DB configuration.
What should you recommend? To answer, select the appropriate values in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
MongoDB compatibility: API
* API: MongoDB API
* Azure Cosmos DB comes with multiple APIs:
* SQL API, a JSON document database service that supports SQL queries. This is compatible with the former Azure DocumentDB.
* MongoDB API, compatible with existing Mongo DB libraries, drivers, tools and applications.
* Cassandra API, compatible with existing Apache Cassandra libraries, drivers, tools, and applications.
* Azure Table API, a key-value database service compatible with existing Azure Table Storage.
* Gremlin (graph) API, a graph database service supporting Apache Tinkerpop's graph traversal language, Gremlin.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/create-mongodb-dotnet