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NEW QUESTION: 1
Patient undergoes partial nephrectomy for carcinoma of the kidney.

A. 0
B. 1
C. 2
Answer: A

NEW QUESTION: 2
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 diesem Abschnitt beantwortet haben. Sie werden NICHT in der Lage sein, dorthin zurückzukehren. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie haben eine Datenbank, die eine einzelne Tabelle mit dem Namen tblVehicleRegistration enthält. Die Tabelle ist wie folgt definiert:

Sie führen die folgende Abfrage aus:

Das Abfrage-Ausgabefenster zeigt die folgende Fehlermeldung an: "Konvertierung fehlgeschlagen beim Konvertieren des Varchar-Werts 'AB012' in den Datentyp int." Sie müssen den Fehler beheben.
Lösung: Sie ändern die Transact-SQL-Anweisung wie folgt:

Entspricht die Lösung dem Ziel?
A. Nein
B. Ja
Answer: A

NEW QUESTION: 3
DRAG DROP
You need to configure the CoffeeSale fact table environment.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:
Explanation:

Explanation:

Step 1: Partition the CoffeSale facto table.
Step 2: Set the storage mode for all partitions to HOLAP.
Partitions stored as HOLAP are smaller than the equivalent MOLAP partitions because they do not contain source data and respond faster than ROLAP partitions for queries involving summary data.
Step 3: Alter the processing job to ensure that it rearranges the partition structure each evening.
Step 4: Test that the cube meets the functional requirement for data currency and query performance.
From scenario:
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes.
The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional- models-olap-logical-cube-objects/partitions-partition-storage-modes-and-processing