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NEW QUESTION: 1
Sie haben eine Data-Warehouse-Faktentabelle mit einem Clustered-Columnstore-Index.
Sie haben mehrere CSV-Dateien mit insgesamt 3 Millionen Datenzeilen.
Sie müssen die Daten in die Faktentabelle hochladen. Die Lösung muss die Delta-Gruppe vermeiden, wenn Sie die Daten importieren.
Welche Lösung erreicht das Ziel in kürzester Zeit?
A. Laden Sie die Quelldaten in eine Staging-Tabelle mit einem Clustered-Index für den Primärschlüssel. Kopieren Sie die Daten mit der Anweisung insert_select in die Faktentabelle.
B. Laden Sie die Quelldaten mithilfe der Bulk-Insert-Anweisung in die Faktentabelle und geben Sie die Tablock-Option an.
C. Laden Sie die Quelldaten in eine Staging-Tabelle. Laden Sie die Daten mithilfe der Anweisung insert_select in die Faktentabelle und geben Sie die Tablock-Option in der Staging-Tabelle an.
D. Laden Sie die Quelldaten in die Faktentabelle, indem Sie bcp.exe ausführen und die Option _ Tablock angeben.
Answer: A
Explanation:
Explanation
If you are loading data only to stage it before running more transformations, loading the table to heap table will be much faster than loading the data to a clustered columnstore table. In addition, loading data to a
[temporary table][Temporary] will also load much faster than loading a table to permanent storage.
A common pattern for data load is to load the data into a staging table, do some transformation and then load it into the target table using the following command INSERT INTO <columnstore index> SELECT <list of columns> FROM <Staging Table> This command loads the data into the columnstore index in similar ways to BCP or Bulk Insert but in a single batch. If the number of rows in the staging table < 102400, the rows are loaded into a delta rowgroup otherwise the rows are directly loaded into compressed rowgroup. One key limitation was that this INSERT operation was single threaded. To load data in parallel, you could create multiple staging table or issue INSERT/SELECT with non-overlapping ranges of rows from the staging table. This limitation goes away with SQL Server 2016 (13.x). The command below loads the data from staging table in parallel but you will need to specify TABLOCK.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-data-loading-guidance?vi

NEW QUESTION: 2
Which volume layout is most resilient to disk failure?
A. stripe
B. concatenated
C. layered
D. mirror
Answer: C

NEW QUESTION: 3
A mid-sized SMB needs to scan large volumes or heavy, plastic-coated documents quickly. Why should this customer choose either a flatbed or a sheet-feed scanner?
A. HP sheet-feed scanners handle a variety of media types at speeds of up to 75 pages per minute.
B. HP flatbed scanners can use an optional automatic document feeder to print bulky materials at speeds up to 120 pages per minute.
C. HP flatbed scanners feature a straight-through media path that enables fast scans of a greater variety of media types than sheet-feed scanners.
D. HP sheet-feed scanners feature a flat glass scanning area that allows plastic-coated documents to be scanned at high resolution.
Answer: D

NEW QUESTION: 4
A company has the following offices:

The company plans to expand its network to the cloud. You identify the following requirements:
* Location1 requires a dynamic pool of virtual machines (VMs) for offsite computations
* Employees from Location1must be able to connect to VMs through a virtual network to start tasks and check results.
* Servers from Location2 must privately and continuously back up all data to Azure. The process will require up to 1 Gbps bandwidth.
You need to configure the hybrid solution.
Which connection types should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation: