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NEW QUESTION: 1
You are tuning a hyperparameter for an algorithm. The following table shows a data set with different hyperparameter, training error, and validation errors.

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.

Answer:
Explanation:

Explanation

Box 1: 4
Choose the one which has lower training and validation error and also the closest match.
Minimize variance (difference between validation error and train error).
Box 2: 5
Minimize variance (difference between validation error and train error).
Reference:
https://medium.com/comet-ml/organizing-machine-learning-projects-project-management-guidelines-2d2b85651

NEW QUESTION: 2
You are monitoring resource usage on your Database Cloud Service.
What two resource usage metrics can you find on the Instance Overview page?
A. number of processes allocated
B. memory
C. storage
D. number of current users
E. number of days left on your subscription
F. I/O from reads and writes
Answer: B,C
Explanation:
Explanation/Reference:
Explanation:
The Overview page includes graphs that plot the data values for the top metrics for the past 7 days. The type of data collected and shown depends on the type of service. For example, for Oracle Database Cloud Service, the graphs show Storage Used and Maximum Storage Used.

NEW QUESTION: 3
Sie sind ein Datenbankentwickler für ein Unternehmen, das Produkte und andere Kühlwaren an Lebensmittelgeschäfte liefert. Sie erfassen die Lebensmittellagertemperatur für Lieferfahrzeuge mithilfe von IoT-Geräten (Internet of Things). Sie speichern die Temperaturdaten in einer Datenbanktabelle mit dem Namen VehicleTemperatures. In der Spalte ChillerSensorNumber wird die ID für die IoT-Geräte gespeichert.
Sie müssen eine indizierte Ansicht erstellen, die die folgenden Anforderungen erfüllt:
* Die Daten auf der Festplatte bleiben erhalten, um die Anzahl der E / A-Vorgänge zu verringern
* Gibt die Anzahl der ChillerSensorNumber-Elemente an
* Erstellt nur eine Reihe von Zusammenfassungszeilen
Wie sollten Sie die Ansichtsdefinition vervollständigen? Ziehen Sie zum Beantworten die entsprechenden Transact-SQL-Segmente an die richtigen Positionen. Jedes Transact-SQL-Segment kann einmal, mehrmals oder gar nicht verwendet werden. Möglicherweise müssen Sie den geteilten Schläger zwischen den Fenstern ziehen oder einen Bildlauf durchführen, um den Inhalt anzuzeigen.

Answer:
Explanation:

Explanation

Box1: WITH SCHEMABINDING
Persists the data on disk to reduce the amount of I/O.
Box 2: COUNT_BIG(ChillerSensorNumber)
Provides the number of ChillerSensorNumber items
The function COUNT_BIG returns the number of items found in a group. COUNT_BIG operates like the COUNT function. These functions differ only in the data types of their return values. COUNT_BIG always returns a bigint data type value. COUNT always returns an int data type value.
Box 3: GROUP BY ChillerSensorNumber
Creates only a set of summary rows
References:
https://docs.microsoft.com/en-us/sql/t-sql/functions/count-big-transact-sql