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NEW QUESTION: 1
You have a table that has grown in the past six months.
A user reports that queries against the table take a long time to complete.
You need to update the statistics for the table in the least amount of time without disabling automatic statistics updates.
Which transact-SQL statement should you run?
A. UPDATE STATISTICS WITH SAMPLE 10 PERCENT
B. UPDATE STATISTICS WITH RESAMPLE
C. UPDATE STATISTICS WITH FULLSCAN
D. UPDATE STATISTICS WITH NORECOMPUTE
Answer: A
Explanation:
Explanation/Reference:
Explanation:
SAMPLE number { PERCENT | ROWS } specifies the approximate percentage or number of rows in the table or indexed view for the query optimizer to use when it updates statistics.
References: https://docs.microsoft.com/en-us/sql/t-sql/statements/update-statistics-transact-sql?view=sql- server-2017

NEW QUESTION: 2
You need to recommend an Azure Storage Account configuration for two applications named Application1 and Applications. The configuration must meet the following requirements:
* Storage for Application1 must provide the highest possible transaction rates and the lowest possible latency.
* Storage for Application2 must provide the lowest possible storage costs per GB.
* Storage for both applications must be optimized for uploads and downloads.
* Storage for both applications must be available in an event of datacenter failure.
What should you recommend ? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point

Answer:
Explanation:

Explanation:
Box 1: BloblBlobStorage with Premium performance and Zone-redundant storage (ZRS) replication.
BlockBlobStorage accounts: Storage accounts with premium performance characteristics for block blobs and append blobs. Recommended for scenarios with high transactions rates, or scenarios that use smaller objects or require consistently low storage latency.
Premium: optimized for high transaction rates and single-digit consistent storage latency.
Box 2: General purpose v2 with Standard performance..
General-purpose v2 accounts: Basic storage account type for blobs, files, queues, and tables. Recommended for most scenarios using Azure Storage.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-account-overview
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy

NEW QUESTION: 3
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine eindeutige Lösung, mit der die angegebenen Ziele erreicht werden können. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesen Abschnitten beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie optimieren die Leistung einer virtuellen Maschine, die eine Microsoft SQL Server-Instanz hostet.
Die virtuelle Maschine hatte ursprünglich vier CPU-Kerne und verfügt nun über 32 CPU-Kerne.
Die SQL Server-Instanz verwendet die Standardeinstellungen und verfügt über eine OLTP-Datenbank mit dem Namen db1. Die größte Tabelle in db1 ist eine Schlüsselwertspeichertabelle mit dem Namen table1.
Mehrere Berichte verwenden die PIVOT-Anweisung und greifen auf mehr als 100 Millionen Zeilen in Tabelle1 zu.
Sie stellen fest, dass beim Ausführen der Berichte PAGELATCH_IO auf den PFS-Seiten 2: 1: 1, 2: 2: 1, 2: 3: 1 und 2: 4: 1 in der Tempdb-Datenbank wartet.
Sie müssen verhindern, dass die PAGELATCH_IO-Wartezeiten auftreten.
Lösung: Sie fügen weitere Tempdb-Datenbanken hinzu.
Erfüllt dies das Ziel?
A. Ja
B. Nein
Answer: B
Explanation:
Explanation
From SQL Server's perspective, you can measure the I/O latency from sys.dm_os_wait_stats. If you consistently see high waiting for PAGELATCH_IO, you can benefit from a faster I/O subsystem for SQL Server.A cause can be poor design of your database - you may wish to split out data located on 'hot pages', which are accessed frequently and which you might identify as the causes of your latch contention. For example, if you have a currency table with a data page containing 100 rows, of which 1 is updated per transaction and you have a transaction rate of 200/sec, you could see page latch queues of 100 or more. If each page latch wait costs just 5ms before clearing, this represents a full half-second delay for each update. In this case, splitting out the currency rows into different tables might prove more performant (if less normalized and logically structured).
References: https://www.mssqltips.com/sqlservertip/3088/explanation-of-sql-server-io-and-latches/