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NEW QUESTION: 1
A customer accumulates massive quantities of data. Customer views the data as "very old data" after 3 months. The customer does not want to build a massive petabyte structure of spinning disk for access.
Which IBM solution economically best meets the customer's growth needs?
A. IBM A90COR using IBM Spectrum Protect
B. IBM Enterprise Tape and IBM FlashSystem 900 with IBM Spectrum Archive
C. IBM SVC virtualizing multiple IBM FlashSystem A9DOC units behind it
D. IBM TS4300 with Spectrum Protect Suite
Answer: D
NEW QUESTION: 2
You create a training pipeline using the Azure Machine Learning designer. You upload a CSV file that contains the data from which you want to train your model. You need to use the designer to create a pipeline that includes steps to perform the following tasks:
* Select the training features using the pandas filter method.
* Train a model based on the naive.bayes.GaussianNB algorithm.
* Return only the Scored Labels column by using the query select [scored Labels] froh t1; Which modules should you use? To answer, drag the appropriate modules to the appropriate locations. Each module name may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content
Answer:
Explanation:
NEW QUESTION: 3
Sie implementieren ein Auftragsabwicklungssystem. Eine Point-of-Sale-Anwendung veröffentlicht Bestellungen zu Themen in einer Azure Service Bus-Warteschlange. Die label-Eigenschaft für das Thema enthält die folgenden Daten:
Das System hat die folgenden Anforderungen für Abonnements:
Sie müssen Filter implementieren und den Durchsatz maximieren, während Sie Filter auswerten.
Welche Filtertypen sollten Sie implementieren? Ziehen Sie zum Beantworten die entsprechenden Filtertypen auf die richtigen Abonnements. Jeder Filtertyp kann einmal, mehrmals oder überhaupt nicht verwendet werden. Möglicherweise müssen Sie die Trennleiste zwischen den Fenstern ziehen oder einen Bildlauf durchführen, um den Inhalt anzuzeigen.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.
Answer:
Explanation:
Explanation
FutureOrders: SQLFilter
HighPriortyOrders: CorrelationFilter
CorrelationID only
InternationalOrders: SQLFilter
Country NOT USA requires an SQL Filter
HighQuantityOrders: SQLFilter
Need to use relational operators so an SQL Filter is needed.
AllOrders: No Filter
SQL Filter: SQL Filters - A SqlFilter holds a SQL-like conditional expression that is evaluated in the broker
against the arriving messages' user-defined properties and system properties. All system properties must be
prefixed with sys. in the conditional expression. The SQL-language subset for filter conditions tests for the
existence of properties (EXISTS), as well as for null-values (IS NULL), logical NOT/AND/OR, relational
operators, simple numeric arithmetic, and simple text pattern matching with LIKE.
Correlation Filters - A CorrelationFilter holds a set of conditions that are matched against one or more of an
arriving message's user and system properties. A common use is to match against the CorrelationId property,
but the application can also choose to match against ContentType, Label, MessageId, ReplyTo,
ReplyToSessionId, SessionId, To, and any user-defined properties. A match exists when an arriving message's
value for a property is equal to the value specified in the correlation filter. For string expressions, the
comparison is case-sensitive. When specifying multiple match properties, the filter combines them as a logical
AND condition, meaning for the filter to match, all conditions must match.
Boolean filters - The TrueFilter and FalseFilter either cause all arriving messages (true) or none of the arriving
messages (false) to be selected for the subscription.
References:
https://docs.microsoft.com/en-us/azure/service-bus-messaging/topic-filters
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