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NEW QUESTION: 1
Für diese Frage müssen Sie den unterstrichenen Text auswerten, um festzustellen, ob er korrekt ist.
Wenn eine Basisklasse eine Methode als virtuell deklariert, ist die Methode vor der Implementierung durch eine abgeleitete Klasse verborgen.
Wählen Sie die richtige Antwort, wenn der unterstrichene Text die Aussage nicht korrekt macht.
Wählen Sie "Keine Änderung erforderlich", wenn der unterstrichene Text die Aussage korrekt macht.
A. Kann nicht mit seiner eigenen Implementierung von einer abgeleiteten Klasse überschrieben werden
B. muss in einer nicht abstrakten Klasse überschrieben werden, die direkt von dieser Klasse erbt
C. Kann mit seiner eigenen Implementierung von einer abgeleiteten Klasse überschrieben werden
D. Es ist keine Änderung erforderlich
Answer: C
Explanation:
Erläuterung:
Die Implementierung einer nicht virtuellen Methode ist unveränderlich: Die Implementierung ist dieselbe, unabhängig davon, ob die Methode für eine Instanz der Klasse, in der sie deklariert ist, oder für eine Instanz einer abgeleiteten Klasse aufgerufen wird. Im Gegensatz dazu kann die Implementierung einer virtuellen Methode durch abgeleitete Klassen abgelöst werden. Das Ersetzen der Implementierung einer vererbten virtuellen Methode wird als Überschreiben dieser Methode bezeichnet.

NEW QUESTION: 2
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available
24hrs a day. Your business analysts have experience only with using a SQL interface.
How should you store the data to optimize it for ease of analysis?
A. Load data into Google BigQuery
B. Stream data into Google Cloud Datastore
C. Put flat files into Google Cloud Storage
D. Insert data into Google Cloud SQL
Answer: A
Explanation:
Explanation/Reference:
Explanation:
BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator.
BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets.
References: https://cloud.google.com/bigquery/

NEW QUESTION: 3
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 addresses the file storage requirements.
What should you include in the recommendation?
A. FileTable
B. The varbinary data type
C. The image data type
D. FileStream
Answer: A
Explanation:
Explanation
- Scenario: 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.
- FileTables remove a significant barrier to the use of SQL Server for the storage and management of unstructured data that is currently residing as files on file servers.
Enterprises can move this data from file servers into FileTables to take advantage of integrated administration and services provided by SQL Server. At the same time, they can maintain Windows application compatibility for their existing Windows applications that see this data as files in the file system.