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NEW QUESTION: 1
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.
Start of repeated scenario.
You have five servers that run Microsoft Windows 2012 R2. Each server hosts a Microsoft SQL Server instance. The topology for the environment is shown in the following diagram.

You have an Always On Availability group named AG1. The details for AG1 are shown in the following table.

Instance1 experiences heavy read-write traffic. The instance hosts a database named OperationsMain that is four terabytes (TB) in size. The database has multiple data files and filegroups. One of the filegroups is read_only and is half of the total database size.
Instance4 and Instance5 are not part of AG1. Instance4 is engaged in heavy read-write I/O.
Instance5 hosts a database named StagedExternal. A nightly BULK INSERT process loads data into an empty table that has a rowstore clustered index and two nonclustered rowstore indexes.
You must minimize the growth of the StagedExternal database log file during the BULK INSERT operations and perform point-in-time recovery after the BULK INSERT transaction. Changes made must not interrupt the log backup chain.
You plan to add a new instance named Instance6 to a datacenter that is geographically distant from Site1 and Site2. You must minimize latency between the nodes in AG1.
All databases use the full recovery model. All backups are written to the network location \\SQLBackup\. A separate process copies backups to an offsite location. You should minimize both the time required to restore the databases and the space required to store backups. The recovery point objective (RPO) for each instance is shown in the following table.

Full backups of OperationsMain take longer than six hours to complete. All SQL Server backups use the keyword COMPRESSION.
You plan to deploy the following solutions to the environment. The solutions will access a database named DB1 that is part of AG1.
* Reporting system: This solution accesses data inDB1with a login that is mapped to a database user that is a member of the db_datareader role. The user has EXECUTE permissions on the database. Queries make no changes to the data. The queries must be load balanced over variable read-only replicas.
* Operations system: This solution accesses data inDB1with a login that is mapped to a database user that is a member of the db_datareader and db_datawriter roles. The user has EXECUTE permissions on the database. Queries from the operations system will perform both DDL and DML operations.
The wait statistics monitoring requirements for the instances are described in the following table.

End of repeated scenario.
You need to reduce the amount of time it takes to back up OperationsMain.
What should you do?
A. Run the following Transact-SQL statement: BACKUP DATABASE OperationsMain READ_WRITE_FILEGROUPS
B. Modify the backup script to use the keyword NO_COMPRESSION in the WITH statement.
C. Modify the backup script to use the keywords INIT and SKIP in the WITH statement.
D. Run the following Transact-SQL statement for each file in OperationsMain: BACKUP DATABASE OperationsMain FILE [...]
Answer: A
Explanation:
Explanation
READ_WRITE_FILEGROUPS specifies that all read/write filegroups be backed up in the partial backup. If the database is read-only, READ_WRITE_FILEGROUPS includes only the primary filegroup.
Scenario: Full backups of OperationsMain take longer than six hours to complete. All SQL Server backups use the keyword COMPRESSION.

NEW QUESTION: 2
Auf welcher Managementebene werden mithilfe der im Progress-Thema festgelegten Mechanismen inakzeptable Abweichungen kontrolliert?
A. Nur die Projektplatine
B. Alle Managementebenen
C. Nur Unternehmens- oder Programmverwaltung
D. Nur der Projektmanager
Answer: B

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:

Users need to be able to analyze sales by product and color.
You need to create the dimension.
Which relationship type should you use between the InternetSales table and the new dimension?
A. fact
B. no relationship
C. many-to-many
D. regular
E. data mining
F. referenced
Answer: F
Explanation:
A reference dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined indirectly to the fact table through a key in another dimension table, as shown in the following illustration.

A reference dimension relationship represents the relationship between dimension tables and a fact table in a snowflake schema design. When dimension tables are connected in a snowflake schema, you can define a single dimension using columns from multiple tables, or you can define separate dimensions based on the separate dimension tables and then define a link between them using the reference dimension relationship setting. The following figure shows one fact table named InternetSales, and two dimension tables called Customer and Geography, in a snowflake schema.

You can create two dimensions related to the InternetSales measure group: a dimension based on the Customer table, and a dimension based on the Geography table. You can then relate the Geography dimension to the InternetSales measure group using a reference dimension relationship using the Customer dimension.