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NEW QUESTION: 1
Für ein Multimillionen-Dollar-Projekt wurde ein Projektmanager ernannt. Das Projekt wird als risikoreich eingestuft, da zuvor keine ähnlichen Projekte durchgeführt wurden und keine historischen Daten vorliegen. Einige externe Stakeholder zögern, Unterstützung zu leisten. Welchen Ansatz sollte der Projektmanager verfolgen?
A. Stellen Sie einen Dialog mit den Stakeholdern über die Projektbeschränkungen, Annahmen und kritischen Eingaben her
B. Untersuchen Sie die Pläne, Prozesse, Richtlinien und Kenntnisse, die für die Organisation, die das Projekt durchführt, spezifisch sind
C. Überzeugen Sie die Geschäftsleitung, das Projekt abzuschließen, da das Projekt nicht gesponsert ist und als hohes Risiko eingestuft wird.
D. Veranstalten Sie ein Projektteam-Meeting und aktualisieren Sie dann das Risikoregister und den Projektmanagementplan
Answer: A

NEW QUESTION: 2
To create a large number of Salesforce user accounts from a CSV import file, you can use ________ to perform the import.
Select one:
A. Bitlocker
B. Data Import Wizard
C. Data Loader
NOTES:
Data Loader does allow you to import users, you cannot import users with the Data Import Wizard.
D. Excel
Answer: C

NEW QUESTION: 3

A. Option D
B. Option C
C. Option B
D. Option A
Answer: D

NEW QUESTION: 4
You are designing an Internet of Thing: (IoT) solution intended to identify trends. The solution requires the real-time analysis of data originating from sensors. The results of the analysis will be stored in a SQL database.
You need to recommend a data processing solution that uses the Transact-SQL language.
Which data processing solution should you recommend?
A. Microsoft Azure HDInsight Spark clusters
B. Microsoft Azure HDInsight Hadoop clusters
C. Microsoft Azure Event Hubs
D. Microsoft Azure Stream Analytics
Answer: D
Explanation:
Explanation/Reference:
Explanation:
For your Internet of Things (IoT) scenarios that use Event Hubs, Azure Stream Analytics can serve as a possible first step to perform near real-time analytics on telemetry data. Just like Event Hubs, Steam Analytics supports the streaming of millions of event per second. Unlike a standard database, analysis is performed on data in motion. This streaming input data can also be combined with reference data inputs to perform lookups or do correlation to assist in unlocking business insights. It uses a SQL-like language to simplify the analysis of data inputs and detect anomalies, trigger alerts or transform the data in order to create valuable outputs.
Reference: https://www.linkedin.com/pulse/getting-started-azure-iot-services-stream-analytics-rob-tiffany

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