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NEW QUESTION: 1
Sie haben eine Datenbank, die drei verschlüsselte Speicherprozeduren mit den Namen dbo.Proc1, dbo.Proc2 und dbo.Proc3 enthält. Die gespeicherten Prozeduren enthalten INSERT-, UPDATE-, DELETE- und BACKUP DATABASE-Anweisungen.
Sie haben folgende Anforderungen:
* Sie müssen alle gespeicherten Prozeduren in derselben Transaktion ausführen.
* Sie müssen automatisch eine Transaktion starten, wenn gespeicherte Prozeduren DML-Anweisungen enthalten.
* Sie dürfen eine Transaktion nicht automatisch starten, wenn gespeicherte Prozeduren DDL-Anweisungen enthalten.
Sie müssen alle drei gespeicherten Prozeduren ausführen.
Welche vier Transact-SQL-Segmente sollten Sie zur Entwicklung der Lösung verwenden? Verschieben Sie zum Beantworten die entsprechenden Transact-SQL-Segmente in den Antwortbereich und ordnen Sie sie in der richtigen Reihenfolge an.

Answer:
Explanation:

Explanation

Note:
Implicit transaction mode remains in effect until the connection executes a SET IMPLICIT_TRANSACTIONS OFF statement, which returns the connection to autocommit mode. In autocommit mode, all individual statements are committed if they complete successfully.
When a connection is in implicit transaction mode and the connection is not currently in a transaction, executing any of the following statements starts a transaction:
Note 2: XACT_STATE returns the following values.
1 The current request has an active user transaction. The request can perform any actions, including writing data and committing the transaction. The transaction is committable.
-1 The current request has an active user transaction, but an error has occurred that has caused the transaction to be classified as an uncommittable transaction. The transaction is uncommittable and should be rolled back.
0 There is no active user transaction for the current request. A commit or rollback operation would generate an error.
References:
https://technet.microsoft.com/en-us/library/ms187807(v=sql.105).aspx
https://technet.microsoft.com/en-us/library/ms189797(v=sql.110).aspx

NEW QUESTION: 2
Refer to the exhibit of the N-series switches.

The exhibit shows a Layer 2 network between Host A (a Desktop Computer running Windows 7) and Host
B (another Desktop Computer running Windows 7) and the list of VLANs Untagged (U) and Tagged (T) at
each Ethernet interface: Host A transmits an Ethernet frame untagged on VLAN 1.
What will happen to the Ethernet frame?
A. SW2 drops the Ethernet frame when trying to transmit it out of interface E2 because the incoming and
outgoing interfaces are Tagging/Untagging VLAN 1 differently.
B. STP drops the Ethernet frame because it cannot create an end-to-end loop free path between the
switches for VLAN 1.
C. The Ethernet frame is successfully delivered to Host.
D. VLAN consistency protocol determines that the VLAN is not correctly Tagged/Untagged on all
interfaces, an error will occur, and SW1 will drop the frame on interface E2.
Answer: C

NEW QUESTION: 3
You are a data engineer implementing a lambda architecture on Microsoft Azure. You use an open-source big data solution to collect, process, and maintain data. The analytical data store performs poorly.
You must implement a solution that meets the following requirements:
Provide data warehousing

Reduce ongoing management activities

Deliver SQL query responses in less than one second

You need to create an HDInsight cluster to meet the requirements.
Which type of cluster should you create?
A. Apache Spark
B. Interactive Query
C. Apache Hadoop
D. Apache HBase
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Lambda Architecture with Azure:
Azure offers you a combination of following technologies to accelerate real-time big data analytics:
1. Azure Cosmos DB, a globally distributed and multi-model database service.
2. Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications.
3. Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process.
4. The Spark to Azure Cosmos DB Connector

Note: Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch processing and stream processing methods, and minimizing the latency involved in querying big data.
References:
https://sqlwithmanoj.com/2018/02/16/what-is-lambda-architecture-and-what-azure-offers-with-its-new- cosmos-db/